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Data Engineer - Data Platforms - Snowflake Sydney (preferred), Other locations considered Hybrid Working... Environment 6 + month contract About the Role We're partnering with a leading organisation seeking a Data Platform Engineer

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Job Requisition ID: 41896 Senior Data Engineer | AI & Data Own critical components of AI-native, data-driven.... We are seeking a Senior Engineer to join our AI & Data practice. Based in Melbourne, this role sits on our Engineering pathway

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: $130,046 to $134,956 - ASO8 - Full Time / Ongoing - Permanent Overview: The Senior Data Platform Engineer - Data and Analytics Platform (DAP... Director. The Senior Data Platform Engineer has responsibility for leading user and Local Health Network engagement to develop

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. Join us. Job Description Elevate Your Career with AECOM! Are you a Mechanical Engineer with a passion for data centres? AECOM is on the lookout... for an Associate Director Data Centre Mechanical Engineer to join our team in Sydney! This is an opportunity to lead cutting-edge

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across Australia and the Indo-Pacific. They are seeking an experienced Lead Data Engineer to join a specialist Data Operations team... Data Engineer, you will work across data management, IT systems and earth observation product support, providing both hands

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Lead Data Engineer – Databricks - Melbourne - $180,000 - Gain "productionised" Agentic AI and Gen AI Morgan... Consulting are partnering with an exciting and fast growing organisation seeking a Lead Data Engineer to join their Data function

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Your new company Our client is seeking to engage a mid-level Data Engineer to join its Business Intelligence and data... is looking for an additional Data Engineer to support delivery through to the end of the year. This is a hands-on development role suited

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Position: Data Engineer Security clearance: Candidates must hold NV1 clearance Job Details: ETL pipeline... development in Spark / Cloudera Data Engineering / Airflow (critical requirement) ETL pipeline development using NiFi

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. Join us. Job Description Elevate Your Career with AECOM! Are you a Mechanical Engineer with a passion for data centres? AECOM is on the lookout... for an Associate Director Data Centre Mechanical Engineer to join our team in Sydney! This is an opportunity to lead cutting-edge

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. Job Description We’re looking for a GCP Data Engineer to build and support secure, scalable data pipelines across Google Cloud Platform.... You’ll work with real-time streaming and batch processing, integrate upstream data sources and help make data accessible

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Job Requisition ID: 42135 AI Engineer | AI & Data | Sydney We are seeking a Senior Engineer to join our AI & Data... AI, data and agentic solutions that are secure, scalable and production-ready. We welcome applications from people

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Job Requisition ID: 42126 Senior Consultant AWS - AI & Data Engineer | Sydney We are seeking a Data Engineer... to join our AI & Data practice. Based in Sydney, this role sits on our Engineering pathway, a career pathway designed for engineers who want

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The Data Center Engineering Operation Engineer is responsible for ensuring that all electrical, mechanical, and fire/life... infrastructure. In other words, we're the people who keep the cloud running. We support all AWS data centers and all of the servers

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choose the place that's best for your work and your lifestyle. We call this . As a Senior Software Engineer, you will play... that power mission-critical applications, ensuring low-latency, high-throughput, and fault-tolerant data storage. Your work

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Randstad is currently working with a Queensland Government Department to find a Senior Data Engineer for an initial 12..., and integration needs. Ingest and engineer data from Dynamics 365, Dataverse, Power Platform, and Azure services, leveraging Fabric

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Job Requisition ID: 42128 Lead Data Engineer - AWS & AI | AI & Data| Sydney We are seeking a Lead Data Engineer... to join our AI & Data practice. Based in Sydney, this role sits on our Engineering pathway, a career pathway designed for engineers who want

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Job Requisition ID: 42133 Senior Consultant - Data Engineer | AI & Data | Brisbane Own critical components... and engineering best practice. We are seeking a Senior Engineer to join our AI & Data practice. Based in Brisbane, this role sits

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Role overview Bluefin Resources is working with a clean energy organisation to hire a Data Engineer for a 12-month... fixed-term contract, to rebuild enterprise data ingestion from scratch. You’ll work in a small team with one other engineer

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Engineer plays a key role in building and maintaining the data foundations that power reporting, analytics and business... people and an ambitious vision for the future. About the Role: Reporting to the Analytics Platform Manager, the Data

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diversity and inclusion – it’s a place where you can grow, belong and thrive. We are seeking an experienced Data Engineer... regarded, such as: Azure Data Engineer Associate (DP-203) Fabric Analytics Engineer Associate (DP-600) Azure Fundamentals

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Job Description Drive enterprise data transformation with Microsoft Fabric We are seeking a highly skilled Senior Data Engineer to lead the design, development and optimisation of modern enterprise data platforms. This is an exciting opportunity to play a key role in delivering scalable, secure and governed data solutions that support reporting, analytics and future AI initiatives across the organisation. Working closely with Architects, Cyber Security, Infrastructure, Application and Analytics teams, you will provide technical leadership while delivering complex data platform modernisation and cloud transformation projects. About the Role As the Senior Data Engineer, you will be responsible for designing, building and supporting enterprise data solutions using the Microsoft Fabric ecosystem. Acting as a technical SME and escalation point, you will lead best practice implementation across data engineering, governance, performance optimisation and operational support. Key responsibilities include: Designing and optimising Microsoft Fabric solutions including OneLake, Lakehouses, Warehouses, Data Factory pipelines, Dataflows Gen2, Spark notebooks and Semantic Models Implementing scalable Medallion Architecture across Bronze, Silver, Gold and Serving data layers Developing resilient batch and near real-time data integration pipelines from enterprise applications, APIs, databases and cloud platforms Building complex data transformations using SQL, Python and PySpark Delivering data platform migration, modernisation and reporting transformation initiatives Driving data quality, governance, security and compliance across the data lifecycle Leading performance tuning, monitoring, optimisation and capacity management activities Designing and supporting backup, recovery, high-availability and disaster recovery solutions Providing technical leadership, mentoring and knowledge sharing across data teams Supporting production-critical environments through troubleshooting, root cause analysis and continuous improvement initiatives About You You are a senior data engineering professional with deep expertise across Microsoft data platforms and a strong track record delivering enterprise-scale solutions in complex environments. Essential Experience 7 years' experience supporting enterprise data platforms, database environments and data infrastructure services Hands-on experience delivering Microsoft Fabric implementations and transformation projects Strong expertise across: Microsoft Fabric OneLake, Lakehouse and Warehouse architectures Azure Data Factory Microsoft SQL Server and Azure SQL Power BI and Semantic Models SQL, Python and PySpark Experience designing secure, scalable and governed cloud data platforms Strong understanding of data governance, security, encryption, auditing and compliance requirements Experience with performance tuning, backup and recovery, high availability and disaster recovery Proven experience working within large-scale enterprise and cloud-enabled environments Strong stakeholder engagement and communication skills with the ability to translate technical concepts into business outcomes Highly Regarded Microsoft Data, Azure or Fabric certifications ITIL and/or ISO 27001 certifications Experience with automation, PowerShell and Infrastructure-as-Code practices Exposure to enterprise cloud transformation and data modernisation programs Why Join Us? Lead enterprise-wide data and analytics transformation initiatives Work with cutting-edge Microsoft Fabric technologies Influence architecture, standards and platform strategy Collaborate with highly skilled technology and business teams Deliver solutions that support advanced analytics, reporting and AI capabilities Flexible and supportive working environment Ongoing professional development and career growth opportunities If you're passionate about modern data platforms and want to play a leading role in shaping the future of enterprise data and analytics, we'd love to hear from you. Apply now and help build the data foundations that power better business decisions.

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Job Description Drive enterprise data transformation with Microsoft Fabric We are seeking a highly skilled Senior Data Engineer to lead the design, development and optimisation of modern enterprise data platforms. This is an exciting opportunity to play a key role in delivering scalable, secure and governed data solutions that support reporting, analytics and future AI initiatives across the organisation. Working closely with Architects, Cyber Security, Infrastructure, Application and Analytics teams, you will provide technical leadership while delivering complex data platform modernisation and cloud transformation projects. About the Role As the Senior Data Engineer, you will be responsible for designing, building and supporting enterprise data solutions using the Microsoft Fabric ecosystem. Acting as a technical SME and escalation point, you will lead best practice implementation across data engineering, governance, performance optimisation and operational support. Key responsibilities include: Designing and optimising Microsoft Fabric solutions including OneLake, Lakehouses, Warehouses, Data Factory pipelines, Dataflows Gen2, Spark notebooks and Semantic Models Implementing scalable Medallion Architecture across Bronze, Silver, Gold and Serving data layers Developing resilient batch and near real-time data integration pipelines from enterprise applications, APIs, databases and cloud platforms Building complex data transformations using SQL, Python and PySpark Delivering data platform migration, modernisation and reporting transformation initiatives Driving data quality, governance, security and compliance across the data lifecycle Leading performance tuning, monitoring, optimisation and capacity management activities Designing and supporting backup, recovery, high-availability and disaster recovery solutions Providing technical leadership, mentoring and knowledge sharing across data teams Supporting production-critical environments through troubleshooting, root cause analysis and continuous improvement initiatives About You You are a senior data engineering professional with deep expertise across Microsoft data platforms and a strong track record delivering enterprise-scale solutions in complex environments. Essential Experience 7 years' experience supporting enterprise data platforms, database environments and data infrastructure services Hands-on experience delivering Microsoft Fabric implementations and transformation projects Strong expertise across: Microsoft Fabric OneLake, Lakehouse and Warehouse architectures Azure Data Factory Microsoft SQL Server and Azure SQL Power BI and Semantic Models SQL, Python and PySpark Experience designing secure, scalable and governed cloud data platforms Strong understanding of data governance, security, encryption, auditing and compliance requirements Experience with performance tuning, backup and recovery, high availability and disaster recovery Proven experience working within large-scale enterprise and cloud-enabled environments Strong stakeholder engagement and communication skills with the ability to translate technical concepts into business outcomes Highly Regarded Microsoft Data, Azure or Fabric certifications ITIL and/or ISO 27001 certifications Experience with automation, PowerShell and Infrastructure-as-Code practices Exposure to enterprise cloud transformation and data modernisation programs Why Join Us? Lead enterprise-wide data and analytics transformation initiatives Work with cutting-edge Microsoft Fabric technologies Influence architecture, standards and platform strategy Collaborate with highly skilled technology and business teams Deliver solutions that support advanced analytics, reporting and AI capabilities Flexible and supportive working environment Ongoing professional development and career growth opportunities If you're passionate about modern data platforms and want to play a leading role in shaping the future of enterprise data and analytics, we'd love to hear from you. Apply now and help build the data foundations that power better business decisions.

About the role

Job Description Drive enterprise data transformation with Microsoft Fabric We are seeking a highly skilled Senior Data Engineer to lead the design, development and optimisation of modern enterprise data platforms. This is an exciting opportunity to play a key role in delivering scalable, secure and governed data solutions that support reporting, analytics and future AI initiatives across the organisation. Working closely with Architects, Cyber Security, Infrastructure, Application and Analytics teams, you will provide technical leadership while delivering complex data platform modernisation and cloud transformation projects. About the Role As the Senior Data Engineer, you will be responsible for designing, building and supporting enterprise data solutions using the Microsoft Fabric ecosystem. Acting as a technical SME and escalation point, you will lead best practice implementation across data engineering, governance, performance optimisation and operational support. Key responsibilities include: Designing and optimising Microsoft Fabric solutions including OneLake, Lakehouses, Warehouses, Data Factory pipelines, Dataflows Gen2, Spark notebooks and Semantic Models Implementing scalable Medallion Architecture across Bronze, Silver, Gold and Serving data layers Developing resilient batch and near real-time data integration pipelines from enterprise applications, APIs, databases and cloud platforms Building complex data transformations using SQL, Python and PySpark Delivering data platform migration, modernisation and reporting transformation initiatives Driving data quality, governance, security and compliance across the data lifecycle Leading performance tuning, monitoring, optimisation and capacity management activities Designing and supporting backup, recovery, high-availability and disaster recovery solutions Providing technical leadership, mentoring and knowledge sharing across data teams Supporting production-critical environments through troubleshooting, root cause analysis and continuous improvement initiatives About You You are a senior data engineering professional with deep expertise across Microsoft data platforms and a strong track record delivering enterprise-scale solutions in complex environments. Essential Experience 7 years' experience supporting enterprise data platforms, database environments and data infrastructure services Hands-on experience delivering Microsoft Fabric implementations and transformation projects Strong expertise across: Microsoft Fabric OneLake, Lakehouse and Warehouse architectures Azure Data Factory Microsoft SQL Server and Azure SQL Power BI and Semantic Models SQL, Python and PySpark Experience designing secure, scalable and governed cloud data platforms Strong understanding of data governance, security, encryption, auditing and compliance requirements Experience with performance tuning, backup and recovery, high availability and disaster recovery Proven experience working within large-scale enterprise and cloud-enabled environments Strong stakeholder engagement and communication skills with the ability to translate technical concepts into business outcomes Highly Regarded Microsoft Data, Azure or Fabric certifications ITIL and/or ISO 27001 certifications Experience with automation, PowerShell and Infrastructure-as-Code practices Exposure to enterprise cloud transformation and data modernisation programs Why Join Us? Lead enterprise-wide data and analytics transformation initiatives Work with cutting-edge Microsoft Fabric technologies Influence architecture, standards and platform strategy Collaborate with highly skilled technology and business teams Deliver solutions that support advanced analytics, reporting and AI capabilities Flexible and supportive working environment Ongoing professional development and career growth opportunities If you're passionate about modern data platforms and want to play a leading role in shaping the future of enterprise data and analytics, we'd love to hear from you. Apply now and help build the data foundations that power better business decisions.

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Key Responsibilities Design, build, and optimise batch and streaming data pipelines using approved frameworks and tooling. Ensure pipelines are resilient, performant, and cost optimised. Implement monitoring, alerting, and automated recovery processes. Apply data quality checks and reconciliation processes to ensure accuracy and completeness. Maintain metadata, lineage, and documentation to support governance requirements. Adhere to role-based access control, data privacy, and security standards. Contribute to the development and maintenance of ingestion frameworks, transformation layers, and data models. Implement and maintain CI/CD pipelines for automated testing and deployment. Optimise data storage and retrieval strategies to meet performance needs. Work closely with Technical Leads, Data Architects, Analysts, and business stakeholders to deliver fit-for-purpose solutions. Participate in code reviews and knowledge-sharing sessions to improve team capability. Explore and adopt new tools, frameworks, and techniques to enhance engineering capability. Identify opportunities to automate and streamline workflows. Key Skills & Experience Proficient in SQL for data wrangling, transformation, and analysis Strong programming skills Experience building ETL/ELT pipelines in cloud or distributed environments Familiarity with cloud platforms and services Knowledge of data modeling concepts Experience with data orchestration tools Familiar with version control and CI/CD pipelines Understanding of data quality, validation, and observability practices Works independently with minimal supervision on well-scoped tasks Collaborates effectively with stakeholders Communicates clearly and documents work for others to maintain or build upon Open to code reviews, feedback, and continuous learning Able to troubleshoot and resolve data pipeline failures or performance issues 2–4 years in a data engineering or closely related role Has delivered production-ready pipelines end-to-end Demonstrated ability to improve code quality, reliability, or performance

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Data Engineer Build your experience across Kinetic's enterprise data platforms and warehousing solutions. Develop your technical skills across SQL, Python and Microsoft Azure. January 2027 start | Coomera based About the Role We're looking for a Data Engineer to join Kinetic's data team, supporting the development and management of our enterprise data platforms and data warehousing solutions. This 12-month fixed-term contract commences in January 2027 and offers the opportunity to build your experience with Australia's leading bus operator. Working alongside Senior Data Engineers, you'll contribute to data pipeline development, system integration and platform operations within Microsoft Azure. You'll also work with large and complex datasets, troubleshoot technical issues and maintain documentation covering data models, data flows and ETL processes. This role will suit an early-career Data Engineer who is curious, eager to learn and motivated to develop their technical skills in a fast-paced environment. You'll gain hands-on experience with enterprise data platforms and broaden your technical capabilities while working alongside experienced Data Engineers. A strong technical foundation, a proactive approach to problem-solving and a genuine willingness to learn will set you up for success in this role. What You Will Do Build and maintain data pipelines and support data warehousing solutions within Microsoft Azure. Support data ingestion, transformation and system integration processes. Work with large datasets and implement solutions against established reference designs. Troubleshoot database, pipeline and platform availability issues. Maintain technical documentation, including data models, data flows and ETL processes. Support pipeline scheduling, load balancing and collaborative code development What You Will Need Experience building ELT/ETL pipelines and working with SQL. Experience supporting data testing, validation or troubleshooting. Understanding of data warehousing and database management principles. Experience with Azure technologies such as Data Factory and Synapse Analytics. Proficiency in SQL, Python or other data engineering tools and languages. Experience working with APIs and system integrations. Strong problem-solving skills and attention to detail. Ability to communicate effectively and work collaboratively within a team environment. Exposure to GitHub or Azure DevOps, cloud-based data platforms, data warehousing and technical documentation will be highly regarded, though not essential. About us At Kinetic, we don't just move people - we're creating the positive change our planet needs. As a leader in sustainable transport, we're committed to creating cleaner, safer, and greener environments for generations to come. Our size and scale give our people real opportunities to learn, grow, and progress in their careers. Calm, positive and respectful team players thrive here. Our people embrace change and are encouraged to stretch their comfort zone while making a difference. We challenge each other to be our best. We're driven by respect, diversity and genuine connection. From networking groups to community partnerships and volunteering, our camaraderie naturally brings people together. Our energy and dedication keep communities moving and our people growing. How to apply Kinetic is proud to be an Equal Opportunity Employer and our people represent the community which we service. We invite all suitably qualified applicants to apply, including First Nations People, and people from diverse social, cultural and gender backgrounds. If you're interested in this rewarding role with Kinetic then click the 'Apply' button now!

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About Us: Vinarchy. Redefining Wine. Established in 2025 following the merger of Accolade Wines and Pernod Ricard Winemakers, Vinarchy is an exceptional global wine company committed to redefining wine. Crafting extraordinary wines across Australia, New Zealand, Spain, Italy, South Africa, Chile and the United States, we bring together world-class brands, talented people and an ambitious vision for the future. About the Role: Reporting to the Analytics Platform Manager, the Data Engineer plays a key role in building and maintaining the data foundations that power reporting, analytics and business decision-making across Vinarchy. Working within our Global IT team, you'll collaborate with business stakeholders and technical teams to develop reliable, scalable and secure data solutions. This is an exciting opportunity to contribute to a growing analytics capability, helping shape modern data platforms and processes while supporting continuous improvement initiatives across a truly global organisation. Key Responsibilities: Develop and maintain ETL processes that integrate data from multiple sources. Design and optimise data models for reporting and analytics. Support the delivery of scalable BI and data solutions. Monitor, troubleshoot and improve data pipelines to ensure reliability and performance. Partner with business users and IT teams to understand data requirements and priorities. Ensure data governance, security and architecture standards are maintained. Contribute to documentation, best practices and continuous improvement initiatives. Identify opportunities to automate and streamline data processes. What You'll Bring: You have experience building and supporting data solutions that deliver meaningful business outcomes, along with strong SQL and ETL development skills. You understand data warehousing concepts and have worked with BI platforms such as Microsoft Fabric or Power BI. You'll bring exposure to cloud technologies such as Azure, AWS or GCP, coupled with a solid understanding of data governance and security principles. Most importantly, you're a collaborative problem-solver who enjoys working with stakeholders, takes ownership of outcomes and is passionate about creating high-quality data solutions. A tertiary qualification in Information Technology or a related discipline is advantageous but not essential. Why Join Us? Vinarchy is a home for passionate people to do their very best work. We believe in empowering our people and celebrating success. We offer a competitive rewards package and the opportunity to work with a world-class team. You will also have access to: Annual wine allowance and access to unique wine specials Flexible working (up to 2 days working from home) Fast Friday finishes Modern Melbourne office Go Beyond Day to support your local community Ready to redefine your future? Apply today and help build the data platforms that will shape the future of Vinarchy. At Vinarchy, we are dedicated to building a diverse, dynamic and inclusive culture. Prospective candidates will be required to provide proof of legal work rights and undertake relevant pre-employment screening to verify eligibility and suitability. Our Company Values • Grow Together • Integrity In Every Drop • Own Our Impact • Simplify To Amplify

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Data Analyst / BI Developer - Brisbane (5 days onsite) We are seeking an experienced Data Analyst / BI Developer to build reporting and analytics capabilities. Key responsibilities: Develop Power BI dashboards, DAX measures and executive reports. Build and maintain Databricks data pipelines integrating Salesforce and enterprise data sources. Apply SQL, dimensional modelling, star schema. Deliver revenue reconciliation, data quality controls and audit-ready reporting. Collaborate with business and technical stakeholders Requirements: 5 years in Data Analytics or BI Development. Strong Power BI, DAX, SQL and data modelling skills. Hands-on Databricks or similar platform experience. Knowledge of Azure Data Factory, Microsoft Fabric and Azure DevOps. Strong communication, documentation and stakeholder management skills. Desirable: Snowflake, Python/PySpark Git financial audit reporting.

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We’re seeking a skilled Data Engineer with strong hands-on experience across Databricks, data modelling and Power BI to join a Melbourne-based team. This is an exciting opportunity for someone who enjoys building scalable data solutions, transforming complex datasets into meaningful insights, and enabling better business decision-making through high-quality data. You’ll work across the data lifecycle, from ingestion and transformation through to data modelling and reporting, collaborating with technical teams and business stakeholders to deliver reliable, fit-for-purpose data solutions. In this role, you will: Design, develop and maintain scalable data pipelines using Databricks , supporting efficient data ingestion, transformation and processing. Build and optimise data solutions using PySpark, Spark SQL and SQL. Develop and maintain robust data models to support analytics, reporting and business intelligence requirements. Work with data engineers, analysts and business stakeholders to translate requirements into effective technical solutions. Support the development of reporting and visualisation solutions using Power BI , ensuring data is accurate, accessible and meaningful. Improve data quality, performance and reliability across the data platform. Apply best practices in data architecture, modelling, transformation and development. Troubleshoot data issues and identify opportunities to improve performance, scalability and efficiency. Contribute to the ongoing enhancement of data engineering practices and platform capabilities. To be successful in this role, you will bring: Proven experience as a Data Engineer or in a similar data-focused role. Strong hands-on experience with Databricks and modern data engineering practices. Solid SQL skills and experience working with complex datasets. Strong understanding of data modelling principles, including designing efficient models for analytics and reporting. Experience developing Power BI reports and dashboards, with an understanding of the underlying data models. Experience with PySpark, Spark SQL or similar data transformation technologies. A sound understanding of data warehousing, data pipelines and ETL/ELT processes. Strong analytical and problem-solving skills, with a focus on data quality and performance. Excellent communication skills and the ability to work collaboratively with both technical and non-technical stakeholders. Why consider this opportunity? Work across a modern data technology stack. Take ownership of meaningful data engineering and modelling initiatives. Combine hands-on engineering with business-facing analytics and reporting. Collaborate with a team focused on delivering quality data solutions and actionable insights. Be based in Melbourne, with the opportunity to contribute to impactful data initiatives. Interested? If you’re a hands-on Data Engineer with experience across Databricks, data modelling and Power BI, we’d love to hear from you. Click on the 'Apply' button or email your CV to [email protected]

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Description About the role We are looking for a highly skilled and experienced data engineer to join our Data and Insights team. This role will play a pivotal role in for the ongoing administration and improvement of the Data and Insight platform, ensuring its stability, scalability, and security, building data pipelines for Analytics and Reporting use cases. Key Responsibilities: Development and enhancement of in-house frameworks on PySpark to promote standardized implementations and re-use. Provide mentorship and upskilling to junior team members and the broader analytics community. Liaise and build quality relationships with internal & external stakeholders to deliver high quality data driven solution deliverables. Exploratory Data analysis and end-to-end data engineering solution design Build, Test ETL / ELT & Implement data pipelines using Azure Data Framework, Azure Databricks, other Azure services & Python/PySpark frameworks. Delivery of quality solutions on time using best practices for automated testing, documentation, Azure DevOps services Git and Azure pipelines. Monitoring Support Data and Insights Platform batch operations. About you You are the go-to expert in crafting, implementing, and sustaining resilient data processing pipelines. Your role is pivotal in guaranteeing the effectiveness, precision, and scalability of our data infrastructure, impacting not only the Data and Insights team but also extending across the entire organization. Knowledge and Experience: Extensive experience in a similar role working within a complex data environment. Hands-on experience with Azure Cloud Services Proficiency in usage of Azure Data Services (particularly Azure Databricks, Azure Data Factory, Azure SQL Server, Azure Storage) Advanced knowledge and experience in SQL, PySpark, Python Experience with Azure DevOps Git and Azure Pipelines and expertise with Power BI and PowerShell Who are we? It's an exciting time to join our organisation! On 1 March 2023, two of Australia's most successful member-owned banking organisations merged to form People First Bank – powered by Heritage and People's Choice. We are Australia's leading mutual banking organisation and a genuine, member-owned alternative to the major banks. We exist to create a better future for our members and the communities in which they live. We are 100% member owned, with approximately 720,000 members and 1,900 employees. We have dual head offices in Adelaide and Toowoomba, and 95 branches across South Australia, Victoria, New South Wales, Queensland and the Northern Territory, trading under two brands, Heritage Bank and People's Choice. When you come to work with us, you'll be joining a team of inclusive, friendly, and motivated employees who value making a difference every day for our members, community, and the planet. We are committed to creating an outstanding working environment where you feel supported, can continue to develop and are proud advocates of our members and our business. Benefits of working for us We believe the little extras can make a big difference in supporting your success. That's why we offer great incentives and benefits including: Extensive range of financial and lifestyle benefits, including (but not limited to): Paid parental leave and special leave provisions Flexibility and hybrid working arrangements Employee banking benefits and discounted insurances Career development opportunities, and ongoing training, coaching and support A dedicated Employee Assistance Program for you and your family to access in times of need Paid volunteering days and access to a diverse range of community and charitable initiatives If you are ready to join a supportive team who are passionate about the work they do and the results they achieve, then apply now. If this sounds like you, then this is the next step in your career. Click 'Apply' now and submit your application, including a cover letter and current resume at the earliest . We are committed to diversity and inclusion and support candidate requests for adjustments to enable everyone to equitably participate in our selection process.

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Key JD requirements: Design, develop and maintain data integration pipelines/interfaces between CrewConnect and upstream/downstream systems. Analyse existing data flows, mappings and dependencies and support interface enhancements. Build and support reliable data ingestion, transformation and validation, ensuring data quality and integrity. Troubleshoot data/interface issues and perform root-cause analysis with application/product teams. Translate crew/resource scheduling data requirements into scalable integration and data-engineering solutions. Technical Environment: The role works across Snowflake, DBT, AWS cloud services, Git-based DevOps pipelines, enterprise integrations, and reporting ecosystems supporting CrewConnect and broader People Domain initiatives. Data solutions are deployed within cloud-native environments leveraging modern engineering practices, automation, and governance frameworks to support scalable enterprise data products. Essential Capabilities and Experience Advanced experience in SQL development and data modelling for enterprise-scale solutions. Strong experience designing and implementing data solutions using Snowflake. Proven experience with DBT for data transformation, testing, documentation, and deployment. Experience implementing and supporting Git-based DevOps practices and CI/CD pipelines. Strong understanding of data governance principles, including data quality, metadata, lineage, stewardship, and access controls. Exposure to AWS services such as S3 and IAM. Experience designing scalable data pipelines and ETL/ELT processes. Ability to analyse complex business requirements and translate them into maintainable data solutions. Strong problem-solving skills with the ability to investigate and resolve data quality, performance, and integration issues. Effective communication and collaboration skills across business and technical teams. A qualification in Computer Science, Engineering, Information Systems, Data Analytics, or equivalent practical experience.

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Job Title Data Engineer Job Description A bit about us Rabobank is the world’s leading specialist in food & agribusiness banking. One of our key strengths lies in our people who have a deep understanding of agriculture & are committed to adding long-term value for clients. Our commitment to our employees & clients is at the heart of everything we do About the role Rabobank’s Technology team within the COO Domain is at the heart of enabling & supporting our business across Australia & New Zealand. From securing digital infrastructure to delivering scalable data & technology solutions, the team drives innovation, stability, security & collaboration across the organisation. The Data & Analytics Platform team within Technology is hiring for Data Engineers. As Data Engineer, you will make an impact working on a Data Program helping shape the future of the banks enterprise data solutions. You will play a key role in delivering strategic data initiatives, building scalable & reliable data pipelines, maintaining governance & security standards, & partnering with stakeholders to enable data-driven decision-making across the business. You'll bring strong expertise across the Azure data ecosystem, including Azure Data Factory, Synapse Analytics, Databricks, Storage & Microsoft Fabric, along with solid programming & solution design skills. Top Role Responsibilities: Design, build, enhance & support enterprise-scale data platforms on Microsoft Azure Deliver high-quality data engineering solutions & project outcomes on time & within scope Manage platform operations, lifecycle activities & ongoing support Resolve production incidents & service requests in a timely manner Ensure data pipelines & loads meet agreed SLAs Validate & reconcile data across source & target systems Optimise ETL/ELT processes, performance, & date storage costs Collaborate with Business Analysts, Architects, BI Developers & business stakeholders to deliver data-driven outcomes To be successful, you will have: 5 years’ experience as a Data Engineer or in a similar cloud-based data engineering role Strong hands-on experience designing, building, & supporting scalable data pipelines & integration solutions Working knowledge of Microsoft Azure data services, including Azure Data Factory (ADF), Azure Databricks, Azure Data Lake Storage (ADLS), Azure Synapse Analytics, Azure SQL, &/or Microsoft Fabric Advanced SQL skills, including data modelling, performance tuning, & database optimisation Demonstrated experience developing solutions using Python, PySpark, or Scala Experience with data quality, validation, monitoring, troubleshooting, & operational support Understanding of data governance, security, privacy, & compliance requirements Experience with DevOps practices, CI/CD pipelines, Git, & Azure DevOps Strong analytical & problem-solving skills, with the ability to identify data issues & improvement opportunities. Excellent organisational skills with the ability to manage multiple priorities & deliver high-quality outcomes Excellent written & verbal communication skills Experience working within Agile & Scrum delivery environments Location & Working Arrangements: This role must be based in Sydney & offers a flexible hybrid working model with both in office & at home working. As part of the role, you will participate in an on-call roster. What we're proud to offer you: Wellbeing leave . These 2 extra leave days support greater work/life balance & is just another way we are helping our employees to lead happier, healthier, & more fulfilling lives Education Assistance Program . Rabobank values the development of its people & has a great Education Assistance Program to assist with professional development Parental Leave that supports you & your family while giving you the freedom & flexibility to enjoy this special time (up-to 14 weeks paid leave) Bonus and Additional Leave . We realise sometimes 4 weeks Annual Leave isn't enough! At Rabobank we provide an incentive for eligible employees to receive 1 extra week Annual Leave & an option to purchase another 2 weeks Annual Leave Extra Insurance . Rabobank recognises that employees need to protect their financial wellbeing, in the event of serious illness, injury, or even death. Rabobank provides eligible permanent employees with employer-funded Death, TPD & Income Protection Insurance Rabo Workplace Giving program. As part of Rabobank's global Corporate Social Responsibility, Workplace Giving aims to encourage employees to contribute to our community. Rabo Workplace Giving program matches employee donations to selected Social Partners Our Values Rabobank Australia values inclusion, belonging, & positive experiences for all. Our work environment, our benefits, & the way we live our values, “Client Driven”, “Responsible”, “Professional” & “Cooperative” make it a great place to work. We welcome applicants from diverse backgrounds. Please let our Talent Acquisition team know if you need any accommodations to make our opportunities more accessible to you.

About the role

Introduction At Strata Community Insurance (SCI), we’ve spent decades protecting strata communities across Australia, with a purpose to be the champion for a better, brighter strata community. With more than twelve years of claims, defect reports, and property intelligence, we are investing in a modern data capability that powers smarter decision-making and advanced analytics. We’re looking for a hands-on Data Engineer to help build and maintain the pipelines, integrations, and platform infrastructure that underpin this capability. About the Role This 12 month contract role is a technical delivery focused opportunity based on building reliable, scalable, and well-governed data solutions. You will play a key role in ensuring SCI’s data is accessible, trusted, and ready to support intelligence products, analytics, and machine learning initiatives. Key Responsibilities Design, build, and maintain scalable data pipelines from source systems into Databricks and SCI’s intelligence platform. Develop and support architecture layers, ensuring data is transformed, curated, and quality assured. Monitor pipeline performance and data quality, proactively resolving issues and maintaining reliability. Maintain documentation for pipelines, integrations, transformation logic, and data lineage to support governance and audit requirements. Operate and support SCI’s data platform, including environment management, catalogue governance, and role-based access controls. Design and maintain API integrations and external data connections supporting intelligence products and reporting. Contribute to agile delivery practices and continuous improvement across SCI’s data engineering capability. About You You are a practical, delivery-focused Data Engineer who enjoys solving complex data challenges and building scalable solutions that create real business impact. Skills & Experience Demonstrated experience as a hands-on Data Engineer building and maintaining production-grade data pipelines. Advanced SQL and Python skills, including complex transformation logic and data quality validation. Experience with Databricks will be highly regarded, along with AI coding assistants (e.g. Claude Code, Copilot) to improve productivity in data pipeline development, testing, and documentation. Understanding of Insurance industry will be highly regarded. What we offer Wellbeing at the centre. Through our diverse offering of benefits. Flexibility that works both ways. Our In Community culture means we spend our week together in the office or out in the strata community, with flexibility available as you need it. Career growth. An individual development plan tailored to your goals, backed by training and support for professional qualifications. Leave that reflects our values. Community Connections leave to volunteer with a charity you care about. Financial security. Automatic acceptance into our Salary Continuance insurance scheme, plus salary sacrifice options. Everyday savings. Flare Benefits, with discounts across 500 Australian retailers, health insurance and energy discounts, and novated leasing. Working at SCI We embrace diversity and inclusion, and welcome people from all backgrounds, cultures and experiences. Bring your whole self to work - we're committed to an environment where everyone can thrive. If you need an adjustment at any stage of the recruitment process, let us know and we'll make it happen Applicants must have full working rights in Australia. Apply now and start your journey with Strata Community Insurance.

About the role

Life @ AP: We are one connected team in pursuit of one inspiring purpose – to unite people and technology to power better experiences. Each of us has a part to play in making that happen. You’ll be encouraged to bring your big ideas forward and make a difference through your work. Taking steps forward in your career whilst still having room for fun, friendships, and flexibility in your daily life. We’re driven by our core values: lead with heart, learn for tomorrow and live our legacy. A purpose like ours takes the inspired impact of an incredible team. Ready to change the game? We’re ready to help you do it. The Purpose As a Data Engineer at AP, you'll help turn the data flowing through Australia's payments ecosystem into trusted, usable assets that power products, insights and better decisions. This is a hands-on engineering role working with large and complex datasets to design, build and productionise secure, scalable data pipelines across our modern data platform. You'll work across Snowflake, AWS, Python, SQL, APIs and real-time data to help make payment and transaction data reliable, accessible and ready for what comes next. Key Responsibilities the Role Owns: Design, build, deploy and maintain scalable batch and real-time data pipelines that ingest, transform and make large, complex datasets available for business use. Build ingestion pipelines to integrate data from APIs, databases, files, event streams and third-party platforms. Design pipelines for reliability, scalability, performance and maintainability. Implement orchestration, observability, error handling, reconciliation and recovery mechanisms. Implement incremental processing, CDC and event-driven integration patterns as appropriate. Apply strong governance, security practices to payment and transaction data. Develop tables, views, schemas, stored procedures and other Snowflake data objects. Develop tests to validate data quality and transformation logic. Monitor and optimise pipeline and platform performance, troubleshoot technical issues. Provide On-call support as part of a rotational roster. You’ll likely be a strong fit for this role if you have: 2 years of hands-on experience building and maintaining enterprise or bank-grade data infrastructure, ideally in payments, banking or financial services. Prior experience in cloud databases like Snowflake, DBT, orchestration tools like airflow, event streaming platform like Kafka. Building and maintaining software components that are part of build pipelines. Strong experience with Snowflake, SQL and NoSQL data stores, including complex queries, transformations, data warehousing and large-scale data manipulation. Strong Python capability and experience building data pipelines and integrations using APIs, ETL/data processing technologies and cloud infrastructure such as AWS. A solid understanding of data modelling, data quality, reconciliation, governance and security when working with transaction or payment data. Experience connecting and operationalising data across warehouses, lakes, streaming platforms and analytics tools, with an eye for performance, scalability and reliability. A curious, collaborative engineering mindset - comfortable working autonomously in Agile teams, navigating ambiguity and partnering with analysts and business stakeholders to turn data into practical outcomes. What happens next: At AP, we believe in the power of passion, pride and purpose. Our team is driven by a shared mission to make a difference in the world of payments, and we're proud to work together towards this common goal. If you're a data engineer who enjoys solving complex data problems and wants to work with the information behind Australia's payments ecosystem, we'd love to hear from you. The Talent Acquisition team will endeavour to review your application and notify you of the outcome within the next two weeks. We want to remove all barriers to inclusion, so if you need advice or support with your application, we’re here to help. Please reach out to [email protected] . We also encourage you to let us know your pronouns at any point during the recruitment process. AP are not partnering with Recruitment agencies for this role.

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Employment Type: Full time, 35 hours per week, continuing position. Remuneration: Level 7– from $118,483 17% superannuation. Location: Kensington, NSW. Hybrid work profile. About the Role The Enterprise Data Office (EDO) enables data-informed decision-making across UNSW by managing its enterprise data platform, analytics, reporting, and governance capabilities to deliver secure, high-quality data for strategic, operational, and regulatory needs. Reporting to the Head of Data Product & Insights with no direct reports, the Data Engineer helps design, deliver, and enhance EDO’s Enterprise Data Intelligence Platform (EDIP). This encompasses data ingestion, transformation, modelling, integration, and operational support. Operating with substantial technical expertise and independence, the role resolves complex data engineering challenges, adapts established methods, and creates tailored solutions. Additionally, the position contributes to technical standards, advises stakeholders, and offers technical guidance, peer reviews, and work coordination for team members and delivery partners. The successful candidate will have demonstrated experience in and be responsible for: Independently design, build, test, and maintain secure, scalable data pipelines and models aligned with business requirements. Apply advanced data engineering techniques to build curated, reusable data structures supporting enterprise reporting and analytics. Resolve complex data quality, integration, and performance issues using fit-for-purpose methods and robust solution architecture. Lead technical work packages from scope and testing through to deployment and production issue resolution within set timeframes. Provide expert consultative advice to EDO colleagues and UNSW stakeholders on data modelling, platform capabilities, and technical constraints. Partner with stakeholders and delivery partners to capture requirements, balance competing interests, and improve technical standards through peer reviews and knowledge sharing. About You Tertiary qualifications in IT or equivalent experience in complex enterprise data engineering, with desirable exposure to Microsoft Azure and Databricks. Sound knowledge of data governance, security, and Higher Education reporting frameworks including TCSI, TEQSA, and QILT. Practical expertise building data engineering solutions using SQL, Python/PySpark, Azure Data Factory, Databricks, and API/ETL/ELT patterns. Proven experience in data modelling and lakehouse architecture, incorporating Kimball methodology, dimensional modelling, and performance optimisation. Strong analytical skills to resolve complex technical issues, adapt established approaches, and deliver practical, fit-for-purpose solutions. Excellent communication, stakeholder management, and DevOps capabilities (CI/CD, Azure DevOps, Git, Unity Catalog) tailored for Agile environments. For further information on the role & responsibilities, please refer to the Position Description How to Apply: Submit your CV & cover letter detailing your interest and suitability for the job (as per the skills & experience bullet points in the job description ) before Wednesday 4 November by 11:55pm. Please note: Sponsorship is not available for this role, valid Australian working rights are required on application. UNSW Benefits and Culture: People are at the core of everything we do. We recognise it is the contributions of our staff who make UNSW one of the best universities in Australia and the world. Our benefits include: Flexible Working Options (work from home, flexible hours etc) Additional 3 days leave during December festive period. Career development opportunities Up to 50% discount on UNSW courses Flexible 17% Superannuation contributions, additional leave-loading payments and salary sacrifice. Discounts and entitlements (retail, education, fitness passport) Job queries contact: Tai James, Talent Acquisition Consultant E: [email protected] (applications to the address cannot be accepted, please apply online) UNSW is committed to equity diversity and inclusion. Applications from women, people of culturally and linguistically diverse backgrounds, those living with disabilities, members of the LGBTIQ community; and people of Aboriginal and Torres Strait Islander descent, are encouraged. UNSW provides workplace adjustments for people with disability, and access to flexible work options for eligible staff.

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Data Engineer – Databricks Location: Sydney / Brisbane (Hybrid) Contract: 12 Months Industry: Financial Services / Insurance The Opportunity INGRITY is seeking an experienced Data Engineer to join a major financial services organisation undergoing a significant data modernisation program. You'll work within a modern Databricks environment , building scalable data pipelines, transforming complex datasets and supporting the migration of legacy data platforms to a cloud-based lakehouse architecture. Key Responsibilities Design, develop and optimise data pipelines using Databricks, Python/PySpark and SQL . Build and maintain data transformations using dbt and Delta Lake . Develop scalable data models across Bronze, Silver and Gold layers. Support data migration from legacy platforms, including SAS. Implement data quality checks, testing and performance optimisation. Collaborate with data engineers, analysts and business stakeholders. Skills & Experience Strong hands-on experience with Databricks, PySpark and SQL . Experience with dbt, Delta Lake and lakehouse architecture . Proven experience developing and maintaining ETL/ELT pipelines. Experience with cloud platforms, ideally Azure or AWS . Understanding of CI/CD, data testing and production support. Experience in insurance or financial services highly regarded. Exposure to AI-assisted development tools such as GitHub Copilot or Databricks Genie advantageous. Why Join? Work on a large-scale data transformation program. Modern Databricks and cloud technology environment. Collaborative engineering team with hybrid flexibility. Opportunity to contribute to AI-enabled data engineering practices. Apply Now If you're a Data Engineer with strong Databricks experience looking for your next opportunity, we'd love to hear from you.

About the role

Make an impact with NTT DATA Join a company that is pushing the boundaries of what is possible. We are renowned for our technical excellence and leading innovations, and for making a difference to our clients and society. Our workplace embraces diversity and inclusion - it's a place where you can grow, belong and thrive. We are seeking an experienced Data Engineer to join our Data & AI practice. You will design, build and optimize modern cloud data platforms, enabling organizations to unlock value from data through scalable analytics, reporting and AI solutions. Working with a range of enterprise customers, you will develop robust data pipelines, data models and lakehouse solutions using Microsoft Azure and Microsoft Fabric technologies. Key Responsibilities Design and develop scalable data pipelines and ELT/ETL processes. Build and maintain data platforms using Microsoft Fabric and Azure services. Develop Lakehouse, Data Warehouse and Data Factory solutions in Microsoft Fabric. Implement data integration solutions across cloud and on-premises data sources. Design and optimize data models to support analytics, reporting and AI initiatives. Develop and maintain data transformation processes using SQL, Spark and Python. Implement data quality, governance and security controls. Monitor and optimize platform performance, reliability and cost efficiency. Collaborate with architects, analysts, data scientists and business stakeholders to deliver data-driven outcomes. Support CI/CD implementation and automated deployment practices. Skills & Experience Essential 5 years' experience in Data Engineering, Data Warehousing or Cloud Data Platform development. Strong experience with Microsoft Azure data services including: Azure Data Factory Azure Data Lake Storage Azure Synapse Analytics Azure SQL Azure Databricks Azure DevOps Hands-on experience with Microsoft Fabric including: Data Factory Lakehouse Warehouse OneLake Power BI Notebooks Strong SQL development and data modelling skills. Experience developing data pipelines using Python and/or PySpark. Understanding of data warehousing concepts including star and snowflake schemas. Experience working within Agile delivery environments. Strong stakeholder engagement and problem-solving skills. Desirable Experience with Snowflake data platforms. Experience with Databricks Lakehouse architecture. Experience implementing data governance solutions such as Microsoft Purview Exposure to real-time or streaming data architectures. Experience working in consulting or professional services environments. AI & Emerging Technologies (Advantageous) Experience integrating AI and Generative AI capabilities into data platforms. Knowledge of Azure AI Services, Azure OpenAI, Microsoft Copilot Studio or Microsoft Fabric AI capabilities. Experience supporting data foundations for machine learning or AI workloads. Understanding of vector databases, Retrieval-Augmented Generation (RAG) and modern AI architectures. Qualifications Microsoft Azure certifications highly regarded, such as: Azure Data Engineer Associate (DP-203) Fabric Analytics Engineer Associate (DP-600) Azure Fundamentals (AZ-900) Workplace type : About NTT DATA NTT DATA is a $30 billion business and technology services leader, serving 75% of the Fortune Global 100. We are committed to accelerating client success and positively impacting society through responsible innovation. We are one of the world's leading AI and digital infrastructure providers, with unmatched capabilities in enterprise-scale AI, cloud, security, connectivity, data centers and application services. Our consulting and industry solutions help organizations and society move confidently and sustainably into the digital future. As a Global Top Employer, we have experts in more than 70 countries. We also offer clients access to a robust ecosystem of innovation centers as well as established and start-up partners. NTT DATA is part of NTT Group, which invests over $3 billion each year in R&D. Equal Opportunity Employer NTT DATA is proud to be an Equal Opportunity Employer with a global culture that embraces diversity. We are committed to providing an environment free of unfair discrimination and harassment. We do not discriminate based on age, race, colour, gender, sexual orientation, religion, nationality, disability, pregnancy, marital status, veteran status, or any other protected category. Join our growing global team and accelerate your career with us. Apply today. Third parties fraudulently posing as NTT DATA recruiters NTT DATA recruiters will never ask job seekers or candidates for payment or banking information during the recruitment process, for any reason. Please remain vigilant of third parties who may attempt to impersonate NTT DATA recruiters whether in writing or by phone in order to deceptively obtain personal data or money from you. All email communications from an NTT DATA recruiter will come from an nttdata.com email address. If you suspect any fraudulent activity, please contact us ([email protected]) .

About the role

Make an impact with NTT DATA Join a company that is pushing the boundaries of what is possible. We are renowned for our technical excellence and leading innovations, and for making a difference to our clients and society. Our workplace embraces diversity and inclusion - it's a place where you can grow, belong and thrive. We are seeking an experienced Data Engineer to join our Data & AI practice. You will design, build and optimize modern cloud data platforms, enabling organizations to unlock value from data through scalable analytics, reporting and AI solutions. Working with a range of enterprise customers, you will develop robust data pipelines, data models and lakehouse solutions using Microsoft Azure and Microsoft Fabric technologies. Key Responsibilities Design and develop scalable data pipelines and ELT/ETL processes. Build and maintain data platforms using Microsoft Fabric and Azure services. Develop Lakehouse, Data Warehouse and Data Factory solutions in Microsoft Fabric. Implement data integration solutions across cloud and on-premises data sources. Design and optimize data models to support analytics, reporting and AI initiatives. Develop and maintain data transformation processes using SQL, Spark and Python. Implement data quality, governance and security controls. Monitor and optimize platform performance, reliability and cost efficiency. Collaborate with architects, analysts, data scientists and business stakeholders to deliver data-driven outcomes. Support CI/CD implementation and automated deployment practices. Skills & Experience Essential 5 years' experience in Data Engineering, Data Warehousing or Cloud Data Platform development. Strong experience with Microsoft Azure data services including: Azure Data Factory Azure Data Lake Storage Azure Synapse Analytics Azure SQL Azure Databricks Azure DevOps Hands-on experience with Microsoft Fabric including: Data Factory Lakehouse Warehouse OneLake Power BI Notebooks Strong SQL development and data modelling skills. Experience developing data pipelines using Python and/or PySpark. Understanding of data warehousing concepts including star and snowflake schemas. Experience working within Agile delivery environments. Strong stakeholder engagement and problem-solving skills. Desirable Experience with Snowflake data platforms. Experience with Databricks Lakehouse architecture. Experience implementing data governance solutions such as Microsoft Purview Exposure to real-time or streaming data architectures. Experience working in consulting or professional services environments. AI & Emerging Technologies (Advantageous) Experience integrating AI and Generative AI capabilities into data platforms. Knowledge of Azure AI Services, Azure OpenAI, Microsoft Copilot Studio or Microsoft Fabric AI capabilities. Experience supporting data foundations for machine learning or AI workloads. Understanding of vector databases, Retrieval-Augmented Generation (RAG) and modern AI architectures. Qualifications Microsoft Azure certifications highly regarded, such as: Azure Data Engineer Associate (DP-203) Fabric Analytics Engineer Associate (DP-600) Azure Fundamentals (AZ-900) Workplace type : About NTT DATA NTT DATA is a $30 billion business and technology services leader, serving 75% of the Fortune Global 100. We are committed to accelerating client success and positively impacting society through responsible innovation. We are one of the world's leading AI and digital infrastructure providers, with unmatched capabilities in enterprise-scale AI, cloud, security, connectivity, data centers and application services. Our consulting and industry solutions help organizations and society move confidently and sustainably into the digital future. As a Global Top Employer, we have experts in more than 70 countries. We also offer clients access to a robust ecosystem of innovation centers as well as established and start-up partners. NTT DATA is part of NTT Group, which invests over $3 billion each year in R&D. Equal Opportunity Employer NTT DATA is proud to be an Equal Opportunity Employer with a global culture that embraces diversity. We are committed to providing an environment free of unfair discrimination and harassment. We do not discriminate based on age, race, colour, gender, sexual orientation, religion, nationality, disability, pregnancy, marital status, veteran status, or any other protected category. Join our growing global team and accelerate your career with us. Apply today. Third parties fraudulently posing as NTT DATA recruiters NTT DATA recruiters will never ask job seekers or candidates for payment or banking information during the recruitment process, for any reason. Please remain vigilant of third parties who may attempt to impersonate NTT DATA recruiters whether in writing or by phone in order to deceptively obtain personal data or money from you. All email communications from an NTT DATA recruiter will come from an nttdata.com email address. If you suspect any fraudulent activity, please contact us ([email protected]) .

About the role

Make an impact with NTT DATA Join a company that is pushing the boundaries of what is possible. We are renowned for our technical excellence and leading innovations, and for making a difference to our clients and society. Our workplace embraces diversity and inclusion - it's a place where you can grow, belong and thrive. We are seeking an experienced Data Engineer to join our Data & AI practice. You will design, build and optimize modern cloud data platforms, enabling organizations to unlock value from data through scalable analytics, reporting and AI solutions. Working with a range of enterprise customers, you will develop robust data pipelines, data models and lakehouse solutions using Microsoft Azure and Microsoft Fabric technologies. Key Responsibilities Design and develop scalable data pipelines and ELT/ETL processes. Build and maintain data platforms using Microsoft Fabric and Azure services. Develop Lakehouse, Data Warehouse and Data Factory solutions in Microsoft Fabric. Implement data integration solutions across cloud and on-premises data sources. Design and optimize data models to support analytics, reporting and AI initiatives. Develop and maintain data transformation processes using SQL, Spark and Python. Implement data quality, governance and security controls. Monitor and optimize platform performance, reliability and cost efficiency. Collaborate with architects, analysts, data scientists and business stakeholders to deliver data-driven outcomes. Support CI/CD implementation and automated deployment practices. Skills & Experience Essential 5 years' experience in Data Engineering, Data Warehousing or Cloud Data Platform development. Strong experience with Microsoft Azure data services including: Azure Data Factory Azure Data Lake Storage Azure Synapse Analytics Azure SQL Azure Databricks Azure DevOps Hands-on experience with Microsoft Fabric including: Data Factory Lakehouse Warehouse OneLake Power BI Notebooks Strong SQL development and data modelling skills. Experience developing data pipelines using Python and/or PySpark. Understanding of data warehousing concepts including star and snowflake schemas. Experience working within Agile delivery environments. Strong stakeholder engagement and problem-solving skills. Desirable Experience with Snowflake data platforms. Experience with Databricks Lakehouse architecture. Experience implementing data governance solutions such as Microsoft Purview Exposure to real-time or streaming data architectures. Experience working in consulting or professional services environments. AI & Emerging Technologies (Advantageous) Experience integrating AI and Generative AI capabilities into data platforms. Knowledge of Azure AI Services, Azure OpenAI, Microsoft Copilot Studio or Microsoft Fabric AI capabilities. Experience supporting data foundations for machine learning or AI workloads. Understanding of vector databases, Retrieval-Augmented Generation (RAG) and modern AI architectures. Qualifications Microsoft Azure certifications highly regarded, such as: Azure Data Engineer Associate (DP-203) Fabric Analytics Engineer Associate (DP-600) Azure Fundamentals (AZ-900) Workplace type : About NTT DATA NTT DATA is a $30 billion business and technology services leader, serving 75% of the Fortune Global 100. We are committed to accelerating client success and positively impacting society through responsible innovation. We are one of the world's leading AI and digital infrastructure providers, with unmatched capabilities in enterprise-scale AI, cloud, security, connectivity, data centers and application services. Our consulting and industry solutions help organizations and society move confidently and sustainably into the digital future. As a Global Top Employer, we have experts in more than 70 countries. We also offer clients access to a robust ecosystem of innovation centers as well as established and start-up partners. NTT DATA is part of NTT Group, which invests over $3 billion each year in R&D. Equal Opportunity Employer NTT DATA is proud to be an Equal Opportunity Employer with a global culture that embraces diversity. We are committed to providing an environment free of unfair discrimination and harassment. We do not discriminate based on age, race, colour, gender, sexual orientation, religion, nationality, disability, pregnancy, marital status, veteran status, or any other protected category. Join our growing global team and accelerate your career with us. Apply today. Third parties fraudulently posing as NTT DATA recruiters NTT DATA recruiters will never ask job seekers or candidates for payment or banking information during the recruitment process, for any reason. Please remain vigilant of third parties who may attempt to impersonate NTT DATA recruiters whether in writing or by phone in order to deceptively obtain personal data or money from you. All email communications from an NTT DATA recruiter will come from an nttdata.com email address. If you suspect any fraudulent activity, please contact us ([email protected]) .

About the role

Senior Data Engineer WorkCover Queensland | Brisbane | Hybrid Talenza are partnering with WorkCover Queensland to help them build a team for a new greenfield Snowflake data platform. As a Senior Data Engineer, you'll design and build the pipelines, data models and curated data products that power reporting, analytics and operational decision-making. What you'll do Build and optimise scalable data pipelines, transformations and reusable data products. Develop data models and semantic layers for reporting and analytics. Apply automated testing, CI/CD, monitoring and deployment automation. Embed data quality, security, privacy, lineage and metadata into solutions. Support production platforms, resolve performance issues and mentor other engineers. What you'll bring 5 years delivering enterprise-scale data and analytics solutions. Strong Python and SQL skills, including Airflow DAG development. Snowflake preferred; strong Databricks experience considered. Experience with GitHub, GitHub Actions, CI/CD and automated testing. A coding mindset, with practical examples of using AI to accelerate delivery. Why join? You'll be hands-on from day one, helping build the pipelines, patterns and data products that will power WorkCover's modern data platform while learning from and collaborating with experienced technical leaders. Amazing leadership team Hybrid working is around 50% in the Brisbane office. Permanent Opportunity Salary sacrificing options available (car and laptop) Brisbane CBD office

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Ticketek Entertainment Group (TEG) is a Live Experience Group that helps people discover, access and experience the unforgettable. We believe Life is better live®. With over 50 years in live entertainment, we sell more than 30 million tickets annually, connect with 30 million fans across Australia and New Zealand, and bring 18,000 events to life each year. Headquartered in Sydney, we operate globally across eight pillars: Ticketing, Live Touring, Sport, Immersive Experiences, Customer & Data Solutions, Venues, VIP Experiences and Partnerships. Through our integrated operating model, we bring the best live content, ticketing and technology to our partners and create unforgettable memories that last a lifetime Our values guide everything we do: we partner with purpose, empower boldness within clear boundaries, and celebrate human connection – always putting the fan first. The Role We are looking for an experienced Data Engineer who applies strong coding expertise and industry best practices to drive outcomes for initiatives defined within the data engineering space. Requirements Outcomes to Deliver In this role, success looks like: Technical Delivery : Ensure adherence to data privacy, security, observability, and governance standards while building scalable data pipelines and batch/streaming solutions. Business Alignment: Act as a technical partner to business stakeholders, translating business needs into robust, data-driven solutions. Operational Excellence: Collaborate with Site Reliability Engineers and Data Scientists to maintain pipeline stability, uptime, and high-quality data integration. Capabilities to Bring Technical Capabilities: 3 years of experience in data profiling, ETL development, SQL optimization, and large-scale data processing using AWS (Kinesis, Redshift, Lambda, S3) and modern platforms (Snowflake, Databricks, SSRS, GCP). (Experience with tools like Jira, Confluence, RET, and AI/ML implementations is highly desirable.) Database & Pipeline Expertise: Proficient in relational (SQL) and NoSQL databases (MongoDB), along with streaming frameworks (Kafka, Spark, Airflow, Delta Lake). Collaboration & Communication: Ability to communicate effectively with technical and non-technical stakeholders, navigate ambiguous requirements, and maintain high professional standards Exposure to CI/CD tools and practices (Ansible, CloudFormation, Jenkins) and cloud platforms including GCP expertise. Work with global teams across varied time zones and maintain high standards of workplace safety, diversity, and professional communication. Benefits We’re Australasia’s home of live entertainment – from stadium tours to your local comedy show – and we look after the people who make it happen. Front row perks: Front row and backstage access to live moments – free and discounted tickets to shows, sport and festivals across our network, plus presales and staff allocations for major on-sales A global stage: Headquartered in Sydney with offices across seven countries and four continents, working alongside some of the biggest names in Australian and international live entertainment Flexibility: Hybrid and flexible working, with flexible hours where your role allows Parental leave for everyone : Paid leave for primary caregivers regardless of gender, with real support returning to work Leave, your way: Annual leave plus extras like birthday leave and purchase leave Your backstage crew: Confidential support via our Employee Assistance Program (EAP), including career coaching for you and your family, plus free flu vaccinations Giving back: One paid volunteer day a year to support our community Your next act: Structured development programs like Ticketek Academy, secondments to major events, and career paths tailored to your interests and skills Recognition that means something: ALL STAR Awards and service milestones, celebrating the people and teams who bring our values to life every day TEG is an equal opportunity employer committed to embracing a diverse and inclusive work environment. If this sounds like the opportunity for you, we welcome you to apply. We believe in creating a place where our people can do their best work! Learn more about TEG here – www.TEG.com.au Only direct applications will be considered. No recruiters please

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Senior Data Engineer Technology Consultancy | Melbourne | Data & Cloud Platforms About the opportunity Are you a Senior Data Engineer who enjoys working across different clients, solving complex data challenges and delivering solutions that make a real business impact? We're partnering with a growing technology consultancy to find a Senior Data Engineer to join its expanding data practice. Working across a variety of client engagements, you'll help organisations design, build and modernise their data platforms, from data migrations and platform implementations through to developing scalable data solutions that unlock business value. This role is ideal for someone who enjoys the variety and pace of consulting. You'll work closely with clients to understand their challenges, challenge assumptions, shape technical solutions and take ownership of delivery from start to finish. It's an opportunity to combine hands-on engineering with problem-solving, stakeholder engagement and exposure to different business environments. What you'll be doing Design, build and optimise scalable data pipelines and data platforms across a range of client engagements. Develop ETL/ELT processes and data integrations using Python, SQL and modern data technologies. Work with clients to understand business requirements, identify challenges and translate them into effective technical solutions. Contribute to data modelling, data warehousing, platform architecture and technology decisions. Take ownership of delivery, from understanding the problem and designing the solution through to implementation. Troubleshoot complex data and performance issues while ensuring data quality, reliability and security. Collaborate with client teams and internal technical specialists to deliver successful project outcomes. Contribute to technical design reviews, improve engineering practices and mentor junior team members. What we're looking for 5 years' experience in data engineering, with a strong understanding of core data principles. Strong Python and SQL skills, with hands-on experience building and maintaining data pipelines. Solid knowledge of data modelling, data warehousing, data integration and data platform design. Experience with modern data platforms such as Azure Databricks, Microsoft Fabric, Snowflake or similar technologies. Experience with at least one major cloud platform, such as Azure, AWS or Google Cloud. Strong analytical and problem-solving skills, with the ability to break complex problems into logical steps. Excellent communication skills and confidence engaging with technical and non-technical stakeholders. A genuine interest in working in a consultancy environment, delivering solutions across different clients and business challenges. The ability to work autonomously, take ownership of outcomes and explain the reasoning behind your technical decisions. Is consulting for you? You'll enjoy this role if you like variety, thrive on solving unfamiliar problems and want to understand the business challenges behind the technology. You'll be comfortable working directly with clients, asking the right questions, explaining your approach and adapting to different environments. Rather than simply building to a specification, you'll want to contribute ideas, make informed recommendations and deliver solutions that address the problem at hand. You'll also have the opportunity to broaden your experience across different data environments and develop your capabilities in solution design, client relationships and technical leadership as the practice continues to grow. Why consider this opportunity? Variety of client projects: Work across different organisations, industries and data challenges. End-to-end ownership: Play a meaningful role in shaping and delivering technical solutions. Broader technical exposure: Build experience across modern data platforms, cloud technologies and data initiatives. Career development: Grow your skills in solution design, stakeholder engagement and technical leadership. Collaborative team: Join a growing data practice that values initiative, accountability and knowledge sharing. Interested? If you're an experienced Data Engineer who enjoys combining hands-on technical delivery with client engagement and wants to build your career in a technology consultancy, we'd love to hear from you. Must be living in Australia and have full working rights. Dixon Appointments values diversity and inclusion and is committed to providing a safe, inclusive and barrier-free recruitment experience. Please indicate your preferred method of communication in your application, and please let us know if you require any adjustments when dealing with us. By submitting your application and other personal information, you consent to this information being collected in line with our privacy policy. Follow the link to learn more - Protecting your privacy

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We’re looking for a curious and hands-on Junior Data Engineer to join the Accent Group Data team. This is a great opportunity for someone early in their data career who wants to build strong technical foundations while working with real-world data across a large, fast-paced retail business. You’ll work alongside experienced Data Engineers and Analysts, helping build and maintain the pipelines that power reporting, analytics and key business initiatives across the Group. Along the way, you’ll gain hands-on exposure to our modern data environment, including Azure, Databricks and SQL, with plenty of support to develop your skills and grow your career. What you’ll do Write and optimise SQL to validate, shape and troubleshoot data across pipelines and data marts. Partner with Data Engineers and Analysts to design and build new pipelines in Azure Data Factory. Support Databricks initiatives across data processing, transformations and pipeline development. Help maintain reliable data flows that support reporting, analytics and business initiatives. Contribute to data quality, validation and documentation across the pipelines you build and support. Troubleshoot data issues and work with the team to identify practical solutions. Learn from senior members of the Data team and continue building your capability across the Azure data platform. Develop your understanding of data engineering best practices, tools and emerging technologies. What you’ll bring You don’t need to know everything yet. We’re looking for someone with strong technical foundations, a genuine interest in data engineering and the curiosity to keep learning. Essential: Hands-on experience writing SQL, including joins, aggregations, CTEs and window functions. An understanding of core data engineering concepts including ETL/ELT, data modelling, incremental loading and data validation. A programming foundation beyond SQL, ideally Python. Around 1–2 years’ experience in data engineering, BI or database development, or equivalent practical experience gained through study, internships or projects. Strong problem-solving skills and attention to detail. The ability to manage competing priorities in a fast-paced environment. Good communication skills and a collaborative approach. A willingness to ask questions, take feedback and build greater autonomy over time. Advantageous: Experience with Microsoft SQL Server or Azure SQL Database, including T-SQL and stored procedures, or other relational databases such as PostgreSQL or Oracle. Exposure to Azure Data Factory. Exposure to Databricks or Spark, or a strong willingness to develop these skills. Experience or an interest in retail data, including trading, inventory and customer performance. Why Join Us? You’ll have the opportunity to work with some of the world’s most recognised retail brands while building your career within a collaborative and forward-thinking Data team.You’ll gain exposure to a modern technology stack, learn from experienced team members and contribute to projects that have a genuine impact across the business. Most importantly, you’ll be joining an environment where you can ask questions, build your technical capability and take on greater ownership as you grow.

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Design and build scalable data solutions for a leading global transport organisation. Shape the future of data architecture and integration across a growing international business Join an ASX listed organisation with over 13,000 employees globally Enjoy career development opportunities and access to a range of employee benefits About the Role Kelsian Group Limited is seeking a skilled and motivated Data Engineer to join our Group Technology team in Adelaide. This is an exciting opportunity for a technically capable Data Engineer who enjoys more than just developing data pipelines and producing reports. We are looking for someone with a strong interest in data architecture, solution design and data transformation , who can help shape how data is structured, connected, managed and used across our global operations. Reporting to the Data Operations Lead, you will play an important role in designing, developing and maintaining scalable, secure and efficient data solutions that support business intelligence, operational reporting and strategic decision-making. Working across a diverse technology landscape, you will collaborate with business stakeholders and technology professionals to turn complex data requirements into practical, sustainable solutions. If you enjoy solving complex data challenges, designing effective architecture and building solutions that make a real difference, we would love to hear from you. About You You are an analytical and solutions-focused Data Engineer who combines strong technical capabilities with an understanding of good data architecture principles. You enjoy understanding how systems connect, designing effective data structures and developing reliable solutions that support both current business needs and future growth. You are equally comfortable working independently on technical challenges and collaborating with stakeholders to understand requirements, explain solutions and contribute to broader technology initiatives. Key Responsibilities In this role, you will: Data Architecture & Design: Contribute to the design and continuous improvement of data architecture, including data ingestion, integration, transformation and modelling patterns. Data Engineering: Design, develop and maintain reliable data pipelines that integrate information from multiple internal and third-party systems. Data Modelling: Develop structured, reusable and scalable data models that enable accurate reporting, analytics and informed decision-making. Platform Development & Optimisation: Support the ongoing development, administration and optimisation of data and analytics platforms, with a focus on performance, security, scalability and cost efficiency. Data Quality & Governance: Implement effective approaches to data quality, integrity and security, identifying opportunities to strengthen data management practices. Solution Development: Translate business requirements into technical specifications and sustainable data solutions that align with broader technology objectives. Collaboration & Continuous Improvement: Work closely with technology teams, business stakeholders and data professionals to improve data capabilities, support users and promote consistent engineering practices. Documentation & Support: Maintain clear technical documentation and contribute to the ongoing reliability, maintenance and improvement of data solutions. Skills, Qualifications & Experience To be successful in this role, you will bring: Demonstrated experience in data engineering, including the design, development and maintenance of data pipelines, data ingestion and transformations, and data models. A sound understanding of data architecture principles, including data ingestion patterns, data structures, transformation methodologies and scalable solution design. Strong SQL skills and practical experience using Python or other relevant data programming languages. Experience with modern cloud-based data platforms, preferably in data warehousing and data architecture. Familiarity with DevOps practices, CI/CD pipelines, and automated deployment processes would be desirable. Experience working with database technologies and data integration or transformation tools. An understanding of data quality, security, governance and performance optimisation. The ability to gather business requirements and translate them into effective technical solutions. Strong analytical and problem-solving skills, with excellent attention to detail. Effective communication and stakeholder engagement skills, with the ability to explain technical concepts to both technical and non-technical audiences. Experience working collaboratively within a technology or data and analytics team. A relevant tertiary qualification in information technology, data engineering, computer science, mathematics or a related discipline, or equivalent practical experience. Ideally, you will have at least two years' experience working in data engineering or analytics within a corporate environment. Core requirement: Experience contributing to enterprise data architecture, cloud-based data platforms, particularly within a large, multi-business organisation. Highly regarded: Familiarity with DevOps practices, CI/CD pipelines and automated deployment processes. Experience in passenger transport or other operationally complex industries would be advantageous but is not essential. Why Join Kelsian Group? At Kelsian Group, technology and data play an important role in how we connect people, improve operational performance and support the future of sustainable transport. This position offers the opportunity to contribute to meaningful data and technology initiatives within a large, geographically diverse organisation. You will benefit from: Opportunities to contribute to evolving enterprise data architecture and technology solutions. Exposure to complex data environments across multiple business operations and international markets. Collaboration with experienced technology and business professionals. Professional development and opportunities to grow your technical capabilities. Access to a range of employee benefits. A supportive team environment that values collaboration, innovation and continuous improvement. About Us Kelsian Group Limited (ASX: KLS) is a leading global provider of passenger transport services, connecting people and communities across Australia and international markets. Headquartered in Adelaide, Kelsian employs more than 13,000 people across its operations in Australia, the United Kingdom, Singapore, the United States and the Channel Islands. With extensive experience in bus, motorcoach and marine transport, we are committed to delivering safe, reliable and sustainable transport solutions that support the communities we serve. At Kelsian, our people are central to our success. We are committed to building a workplace where innovation, collaboration, integrity and continuous improvement are valued and encouraged. How to Apply Click APPLY and fill in as much information as you can in the track record section of the application, paying close attention to each question. We are requesting your resume and a cover letter explaining why you are the best person for this position. Applications close 5pm 27 October 2026 We aim to provide meaningful and sustainable employment opportunities that are free from barriers, support and celebrate the diverse talents of our team members, improve awareness of the value of diversity and inclusion across our organisation, and enable our leaders to champion diversity and inclusion. We welcome and encourage applications from Aboriginal and Torres Strait Islanders, LGBTQIA, people with disability and people from diverse cultural backgrounds.

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Job Description Build the Data Foundations That Drive Better Decisions We're seeking a Data Engineer to join our growing data team and help deliver modern, scalable and secure enterprise data solutions. You'll play a key role in building and supporting our Microsoft Fabric environment, enabling reliable reporting, analytics and data-driven decision-making across the organisation. Working alongside senior engineers, architects, analysts and business stakeholders, you'll design and develop data pipelines, data models and reporting solutions that transform complex data into meaningful business insights. About the Role As a Data Engineer, you'll be responsible for building, integrating and supporting enterprise data and analytics solutions using Microsoft Fabric and Power BI. You'll work across data ingestion, transformation, modelling and reporting while ensuring solutions are secure, governed and scalable. Key responsibilities include: Design, build and support data solutions using Microsoft Fabric, including OneLake, Lakehouse, Warehouse, Data Factory, Dataflows Gen2 and Semantic Models Develop and maintain batch and near real-time data pipelines from enterprise applications, APIs, databases, SaaS platforms and cloud storage Create data transformations using SQL, Python and PySpark Implement Medallion Architecture across Bronze, Silver and Gold data layers Support the development and optimisation of Power BI datasets, dashboards and reporting solutions Monitor and improve data quality, performance, reliability and security Maintain data lineage, documentation, mappings, runbooks and technical standards Assist with data platform modernisation, migration and continuous improvement initiatives Provide operational support, troubleshooting and root cause analysis for data platform issues Collaborate with business stakeholders to translate requirements into practical data solutions About You We're looking for a technically capable Data Engineer who enjoys solving data challenges and collaborating with stakeholders to deliver meaningful outcomes. Essential Experience Experience working with Microsoft Fabric and modern cloud-based data platforms Strong skills in SQL and data modelling Experience building and supporting data pipelines and integration solutions Knowledge of Lakehouse, data warehousing and analytics concepts Experience using Python and/or PySpark for data transformation and automation Exposure to Power BI, semantic models, DAX and reporting solutions Understanding of data governance, security, access controls and compliance requirements Strong analytical, troubleshooting and problem-solving skills Ability to manage multiple priorities and work effectively within project and operational environments Highly Regarded Experience with Microsoft SQL Server, Azure SQL and Azure Data Factory Exposure to enterprise data platform projects or cloud transformation initiatives Microsoft Data, Azure or Fabric certifications Knowledge of database performance tuning, monitoring and optimisation Experience with automation and Infrastructure-as-Code practices What You'll Bring Strong communication and stakeholder engagement skills A collaborative approach and willingness to learn Attention to detail and commitment to quality Strong documentation and organisational skills Passion for data, analytics and continuous improvement Why Join Us? Work with leading Microsoft Fabric and cloud technologies Be part of a modern data and analytics transformation journey Hybrid and flexible work arrangements Supportive and collaborative team environment Opportunities to grow your technical expertise and career Work on impactful projects that directly influence business outcomes If you're passionate about data engineering and want to help build a modern, scalable data platform that supports analytics, reporting and future AI capabilities, we'd love to hear from you. Apply today and help shape the future of data and insights.

About the role

Job Description Build the Data Foundations That Drive Better Decisions We're seeking a Data Engineer to join our growing data team and help deliver modern, scalable and secure enterprise data solutions. You'll play a key role in building and supporting our Microsoft Fabric environment, enabling reliable reporting, analytics and data-driven decision-making across the organisation. Working alongside senior engineers, architects, analysts and business stakeholders, you'll design and develop data pipelines, data models and reporting solutions that transform complex data into meaningful business insights. About the Role As a Data Engineer, you'll be responsible for building, integrating and supporting enterprise data and analytics solutions using Microsoft Fabric and Power BI. You'll work across data ingestion, transformation, modelling and reporting while ensuring solutions are secure, governed and scalable. Key responsibilities include: Design, build and support data solutions using Microsoft Fabric, including OneLake, Lakehouse, Warehouse, Data Factory, Dataflows Gen2 and Semantic Models Develop and maintain batch and near real-time data pipelines from enterprise applications, APIs, databases, SaaS platforms and cloud storage Create data transformations using SQL, Python and PySpark Implement Medallion Architecture across Bronze, Silver and Gold data layers Support the development and optimisation of Power BI datasets, dashboards and reporting solutions Monitor and improve data quality, performance, reliability and security Maintain data lineage, documentation, mappings, runbooks and technical standards Assist with data platform modernisation, migration and continuous improvement initiatives Provide operational support, troubleshooting and root cause analysis for data platform issues Collaborate with business stakeholders to translate requirements into practical data solutions About You We're looking for a technically capable Data Engineer who enjoys solving data challenges and collaborating with stakeholders to deliver meaningful outcomes. Essential Experience Experience working with Microsoft Fabric and modern cloud-based data platforms Strong skills in SQL and data modelling Experience building and supporting data pipelines and integration solutions Knowledge of Lakehouse, data warehousing and analytics concepts Experience using Python and/or PySpark for data transformation and automation Exposure to Power BI, semantic models, DAX and reporting solutions Understanding of data governance, security, access controls and compliance requirements Strong analytical, troubleshooting and problem-solving skills Ability to manage multiple priorities and work effectively within project and operational environments Highly Regarded Experience with Microsoft SQL Server, Azure SQL and Azure Data Factory Exposure to enterprise data platform projects or cloud transformation initiatives Microsoft Data, Azure or Fabric certifications Knowledge of database performance tuning, monitoring and optimisation Experience with automation and Infrastructure-as-Code practices What You'll Bring Strong communication and stakeholder engagement skills A collaborative approach and willingness to learn Attention to detail and commitment to quality Strong documentation and organisational skills Passion for data, analytics and continuous improvement Why Join Us? Work with leading Microsoft Fabric and cloud technologies Be part of a modern data and analytics transformation journey Hybrid and flexible work arrangements Supportive and collaborative team environment Opportunities to grow your technical expertise and career Work on impactful projects that directly influence business outcomes If you're passionate about data engineering and want to help build a modern, scalable data platform that supports analytics, reporting and future AI capabilities, we'd love to hear from you. Apply today and help shape the future of data and insights.

About the role

Job Description Build the Data Foundations That Drive Better Decisions We're seeking a Data Engineer to join our growing data team and help deliver modern, scalable and secure enterprise data solutions. You'll play a key role in building and supporting our Microsoft Fabric environment, enabling reliable reporting, analytics and data-driven decision-making across the organisation. Working alongside senior engineers, architects, analysts and business stakeholders, you'll design and develop data pipelines, data models and reporting solutions that transform complex data into meaningful business insights. About the Role As a Data Engineer, you'll be responsible for building, integrating and supporting enterprise data and analytics solutions using Microsoft Fabric and Power BI. You'll work across data ingestion, transformation, modelling and reporting while ensuring solutions are secure, governed and scalable. Key responsibilities include: Design, build and support data solutions using Microsoft Fabric, including OneLake, Lakehouse, Warehouse, Data Factory, Dataflows Gen2 and Semantic Models Develop and maintain batch and near real-time data pipelines from enterprise applications, APIs, databases, SaaS platforms and cloud storage Create data transformations using SQL, Python and PySpark Implement Medallion Architecture across Bronze, Silver and Gold data layers Support the development and optimisation of Power BI datasets, dashboards and reporting solutions Monitor and improve data quality, performance, reliability and security Maintain data lineage, documentation, mappings, runbooks and technical standards Assist with data platform modernisation, migration and continuous improvement initiatives Provide operational support, troubleshooting and root cause analysis for data platform issues Collaborate with business stakeholders to translate requirements into practical data solutions About You We're looking for a technically capable Data Engineer who enjoys solving data challenges and collaborating with stakeholders to deliver meaningful outcomes. Essential Experience Experience working with Microsoft Fabric and modern cloud-based data platforms Strong skills in SQL and data modelling Experience building and supporting data pipelines and integration solutions Knowledge of Lakehouse, data warehousing and analytics concepts Experience using Python and/or PySpark for data transformation and automation Exposure to Power BI, semantic models, DAX and reporting solutions Understanding of data governance, security, access controls and compliance requirements Strong analytical, troubleshooting and problem-solving skills Ability to manage multiple priorities and work effectively within project and operational environments Highly Regarded Experience with Microsoft SQL Server, Azure SQL and Azure Data Factory Exposure to enterprise data platform projects or cloud transformation initiatives Microsoft Data, Azure or Fabric certifications Knowledge of database performance tuning, monitoring and optimisation Experience with automation and Infrastructure-as-Code practices What You'll Bring Strong communication and stakeholder engagement skills A collaborative approach and willingness to learn Attention to detail and commitment to quality Strong documentation and organisational skills Passion for data, analytics and continuous improvement Why Join Us? Work with leading Microsoft Fabric and cloud technologies Be part of a modern data and analytics transformation journey Hybrid and flexible work arrangements Supportive and collaborative team environment Opportunities to grow your technical expertise and career Work on impactful projects that directly influence business outcomes If you're passionate about data engineering and want to help build a modern, scalable data platform that supports analytics, reporting and future AI capabilities, we'd love to hear from you. Apply today and help shape the future of data and insights.

About the role

Job Description Build the Data Foundations That Drive Better Decisions We're seeking a Data Engineer to join our growing data team and help deliver modern, scalable and secure enterprise data solutions. You'll play a key role in building and supporting our Microsoft Fabric environment, enabling reliable reporting, analytics and data-driven decision-making across the organisation. Working alongside senior engineers, architects, analysts and business stakeholders, you'll design and develop data pipelines, data models and reporting solutions that transform complex data into meaningful business insights. About the Role As a Data Engineer, you'll be responsible for building, integrating and supporting enterprise data and analytics solutions using Microsoft Fabric and Power BI. You'll work across data ingestion, transformation, modelling and reporting while ensuring solutions are secure, governed and scalable. Key responsibilities include: Design, build and support data solutions using Microsoft Fabric, including OneLake, Lakehouse, Warehouse, Data Factory, Dataflows Gen2 and Semantic Models Develop and maintain batch and near real-time data pipelines from enterprise applications, APIs, databases, SaaS platforms and cloud storage Create data transformations using SQL, Python and PySpark Implement Medallion Architecture across Bronze, Silver and Gold data layers Support the development and optimisation of Power BI datasets, dashboards and reporting solutions Monitor and improve data quality, performance, reliability and security Maintain data lineage, documentation, mappings, runbooks and technical standards Assist with data platform modernisation, migration and continuous improvement initiatives Provide operational support, troubleshooting and root cause analysis for data platform issues Collaborate with business stakeholders to translate requirements into practical data solutions About You We're looking for a technically capable Data Engineer who enjoys solving data challenges and collaborating with stakeholders to deliver meaningful outcomes. Essential Experience Experience working with Microsoft Fabric and modern cloud-based data platforms Strong skills in SQL and data modelling Experience building and supporting data pipelines and integration solutions Knowledge of Lakehouse, data warehousing and analytics concepts Experience using Python and/or PySpark for data transformation and automation Exposure to Power BI, semantic models, DAX and reporting solutions Understanding of data governance, security, access controls and compliance requirements Strong analytical, troubleshooting and problem-solving skills Ability to manage multiple priorities and work effectively within project and operational environments Highly Regarded Experience with Microsoft SQL Server, Azure SQL and Azure Data Factory Exposure to enterprise data platform projects or cloud transformation initiatives Microsoft Data, Azure or Fabric certifications Knowledge of database performance tuning, monitoring and optimisation Experience with automation and Infrastructure-as-Code practices What You'll Bring Strong communication and stakeholder engagement skills A collaborative approach and willingness to learn Attention to detail and commitment to quality Strong documentation and organisational skills Passion for data, analytics and continuous improvement Why Join Us? Work with leading Microsoft Fabric and cloud technologies Be part of a modern data and analytics transformation journey Hybrid and flexible work arrangements Supportive and collaborative team environment Opportunities to grow your technical expertise and career Work on impactful projects that directly influence business outcomes If you're passionate about data engineering and want to help build a modern, scalable data platform that supports analytics, reporting and future AI capabilities, we'd love to hear from you. Apply today and help shape the future of data and insights.

About the role

Summary: We are seeking a highly skilled Senior Data Engineer to join our team. The ideal candidate will be responsible for designing, developing, and maintaining our data infrastructure, ensuring that it is scalable, reliable, and efficient. The Senior Data Engineer will work closely with our data scientists and analysts to ensure that our data is accurate and accessible. Responsibilities: Design, develop, and maintain our data infrastructure, including data pipelines, data warehouses, and data lakes Collaborate with data scientists and analysts to ensure that our data is accurate and accessible Optimize data infrastructure for scalability, reliability, and efficiency Develop and maintain data quality standards and processes Implement data security and privacy measures Stay up-to-date with emerging technologies and trends in data engineering Qualifications: Bachelor’s degree in Computer Science, Engineering, or a related field 5 years of experience in data engineering Strong programming skills in languages such as Python, Java, or Scala Experience with big data technologies such as Hadoop, Spark, or Kafka Experience with cloud-based data platforms such as AWS, Azure, or Google Cloud Strong understanding of data modelling and database design principles Excellent problem-solving and analytical skills Strong communication and collaboration skills

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Senior Data Engineer About the role: Maltem is a leading data and analytics company that leverages cutting-edge technology to drive innovation and transform data into actionable insights. We are seeking a highly skilled and experienced Senior Data Engineer to join our dynamic team and play a key role in shaping our data architecture. Responsibilities: Data Engineering Excellence: – Design, develop, and maintain scalable data pipelines using Databricks and Azure technologies. – Collaborate with cross-functional teams to understand data requirements and implement efficient and robust solutions. Databricks and Azure Expertise: – Utilize Databricks for advanced analytics, data engineering, and machine learning tasks. – Implement and optimize data storage, processing, and retrieval using Azure services such as Azure Data Lake Storage, Azure SQL Data Warehouse, and others. Data Quality and Governance: – Implement best practices for data quality, data governance, and metadata management. – Ensure compliance with industry standards and data privacy regulations. Performance Optimization: – Fine-tune and optimize data processes for maximum performance and efficiency. – Monitor and troubleshoot data engineering pipelines to identify and resolve issues promptly. Collaboration and Leadership: – Lead and mentor junior data engineers, fostering a collaborative and innovative team environment. – Collaborate with Data Scientists, Analysts, and other stakeholders to understand data requirements and deliver high-quality solutions. Qualifications: Bachelor’s or Master’s degree in Computer Science, Data Science, or a related field. Proven experience as a Data Engineer with expertise in Databricks and Azure. Strong programming skills in languages such as Python, Scala, or Java. In-depth knowledge of data modeling, ETL processes, and data integration techniques. Experience with data warehousing, big data technologies, and cloud-based data solutions. Excellent communication skills and the ability to convey complex technical concepts to non-technical stakeholders. About Maltem Australia: Maltem Australia is a renowned digital transformation and technology consulting firm, and we are excited to offer a unique opportunity for an Application Support Analyst to join our team as a consultant, working closely with a major energy provider. We’re looking for a dedicated professional to provide application support and business understanding to enhance the operations of our client in the energy trading sector. How to Apply: If you are passionate about the energy trading sector, committed to understanding business issues, and ready to make a significant impact in application support while working as a consultant, we encourage you to apply. To be considered for this unique position, please submit your resume and a cover letter detailing your relevant experience and qualifications to [email protected]. Maltem Australia is dedicated to fostering diversity and inclusion in our workforce and welcomes applicants from all backgrounds.

About the role

Summary: We are seeking a skilled Data Engineer to join our dynamic team in the automotive industry. This permanent, full-time role based in Melbourne, Victoria, will focus on designing, building, and maintaining robust data pipelines and architectures. The successful candidate will play a crucial role in enabling data-driven decision-making and enhancing our operational efficiency. Responsibilities: Design and implement scalable data pipelines to support data ingestion and processing. Collaborate with data scientists and analysts to understand data requirements and deliver solutions. Ensure data quality and integrity through rigorous testing and validation processes. Monitor and optimise data systems for performance and reliability. Document data architecture and processes to ensure clarity and compliance. Stay updated with industry trends and technologies to continuously improve data engineering practices. Qualifications: Bachelor’s degree in Computer Science, Engineering, or a related field. 3-5 years of experience in data engineering or a similar role. Proficiency in programming languages such as Python, Java, or Scala. Experience with data warehousing solutions and ETL processes. Familiarity with cloud platforms (e.g., AWS, Azure) and big data technologies (e.g., Hadoop, Spark). Strong analytical and problem-solving skills. Excellent communication and teamwork abilities.

About the role

About Synechron: Synechron is a global digital consulting firm that helps leading organisations accelerate transformation through technology, data, and innovation. With 16,500 professionals across 60 offices in 20 countries, we combine deep industry expertise with advanced capabilities across AI, cloud, digital engineering, cybersecurity, and data. Our Data Engineering teams partner with clients to design and deliver modern, scalable data platforms that unlock insights, enable AI adoption, and drive real business outcomes. We work across complex enterprise environments, bringing together local consulting expertise with global delivery capability to deliver high-impact solutions. In Australia, Synechron brings together the strength of global capability with the specialist expertise of Synechron, one of Australia’s leading Data, Analytics & AI consultancies. Together, we offer consultants the opportunity to work on cutting-edge data initiatives, collaborate with high-performing teams, and grow their careers in a flexible, supportive consulting environment. Through our award-winning FinLabs accelerators and strategic partnerships with Microsoft, AWS, Databricks, Salesforce and ServiceNow, we empower our consultants to innovate faster, solve complex challenges, and deliver meaningful outcomes for clients. The Role: At Synechron, we thrive on turning complex data problems into powerful business solutions and we’re looking for a Senior Data Engineer to join our Adelaide team! This is a fantastic opportunity to work with cutting-edge tech, solve real-world business challenges, and deliver impactful results! What You’ll Be Doing: • Designing and building scalable pipelines that drive data transformation using Azure, Fabric, and Databricks. • Work with large datasets, optimising performance, and scalability of data workflows. • Leveraging your Python and SQL expertise for data extraction, transformation, and integration and to develop and optimise workflows. • Collaborate with cross-functional teams to deliver solutions that drive data strategy and business intelligence. • Provide technical leadership, mentoring junior engineers, and ensuring best practices are followed. • Engage directly with clients, understanding their business requirements and translating them into technical solutions. Key Requirements: You’ll bring 5 years of Data Engineering expertise, coupled with a strong consulting background that enables you to engage with clients, understand their needs, and deliver tailored solutions that drive real business value. You’ll also bring: • Experience in Azure, Databricks, and Fabric. • Proven experience as a Data Engineer, with strong skills in ETL, ELT, and cloud-based data solutions. • Hands-on expertise with Azure & Databricks (extra points if you’ve worked with Microsoft Fabric). • Strong programming skills in Python & SQL. • A consulting mindset—you’re comfortable engaging with clients and tailoring solutions to their needs. • Solid understanding of data modelling, data ingestion, data integration and cloud architectures (most importantly, a Medallion Architecture). • Excellent problem-solving skills and the ability to troubleshoot complex data issues. • Strong communication skills, with the ability to convey technical concepts to both technical and non-technical stakeholders. Desirable Skills: • Experience with other cloud platforms (AWS, GCP, Snowflake) is a bonus. • Familiarity with data visualisation tools (e.g., Power BI, Tableau). • Knowledge of DevOps practices in a data engineering context. • Relevant tertiary qualifications are highly advantageous. • Previous experience in working as a Consultant is highly desirable. • You must hold a current police clearance or be willing to obtain one at short notice. • Baseline and/or NV1 clearances are highly advantageous. Why Join Synechron At Synechron, we believe exceptional work happens when talented people are empowered to grow, innovate and lead. You’ll be joining a globally recognised technology consulting firm delivering cutting-edge digital transformation across industries including financial services, insurance, government and enterprise sectors. What you can expect • Competitive salary package • Access to global technology and innovation initiatives • Continuous learning and professional development opportunities • Annual professional training allowance • Mentoring and career progression pathways • Employee recognition programs and awards • Corporate discounts and wellbeing initiatives • Employee Assistance Program • Social events, networking opportunities and team activities Diversity & Inclusion Diversity and inclusion are fundamental to our culture. Through our global initiative “Same Difference”, we are committed to fostering a workplace where everyone feels respected, valued and empowered. Synechron is proud to be an equal opportunity employer and encourages applications from people of all backgrounds, identities and experiences. All employment decisions are based on business needs, job requirements and individual qualifications. Next steps… We appreciate the time you have taken to apply for a role with us. Synechron is an equal opportunity employer and welcomes applications from individuals of all backgrounds. Our hiring decisions are based on your experience, skills, enthusiasm, and your future potential in the role. If you feel that you meet some, but not all the requirements above, we still encourage you to apply. If you are invited to an interview, please advise us if you require any reasonable adjustments during the interview process, and what pronouns you use. Synechron is committed to creating an inclusive and respectful workplace for all employees. Differences are embraced, contributions are valued, and everyone has a sense of connection and belonging. We welcome people with diverse skills, experiences, perspectives and backgrounds and encourage applications from Aboriginal or Torres Strait Islander peoples, and individuals who may identify as LGBTIQ, with disability, a culturally diverse background, and people of all ages. Please note that we receive a large number of applications and only shortlisted candidates will be contacted

About the role

Summary: We are seeking a highly skilled and experienced Data Engineer to join our team. The ideal candidate will be responsible for designing, developing, and maintaining data systems and infrastructure. The Data Engineer will work closely with data scientists, analysts, and other stakeholders to ensure that data is properly collected, stored, and analysed to support business objectives. Responsibilities: Design, develop, and maintain data systems and infrastructure Collaborate with data scientists, analysts, and other stakeholders to understand business requirements and design data solutions that meet those needs Develop and implement data pipelines to collect, process, and store data from various sources Ensure data quality and accuracy by implementing data validation and cleansing processes Optimise data systems for performance and scalability Troubleshoot and resolve data-related issues Stay up-to-date with emerging trends and technologies in data engineering Qualifications: Bachelor’s degree in Computer Science, Information Systems, or a related field 3 years of experience in data engineering or a related field Strong programming skills in languages such as Python, Java, or Scala Experience with data modelling, database design, and SQL Experience with big data technologies such as Hadoop, Spark, or Kafka Familiarity with cloud-based data platforms such as AWS, Azure, or Google Cloud Platform Strong problem-solving and analytical skills Excellent communication and collaboration skills

About the role

Lead Data Engineer – Federal Government Location: Canberra CBD, ACT | Hybrid Engagement: 12-month contract, with two possible 12-month extensions About INGRITY INGRITY is a specialist Data, Digital, Cloud & AI consultancy, helping organisations turn complex data into practical business outcomes. We’re looking for an experienced Lead Data Engineer to support a federal government department’s enterprise analytics and technology services team. About the Role You’ll lead the design, build and testing of data ingestion, transformation and visualisation solutions across Azure and Databricks, preparing data to support decision-making across the department. What You’ll Do Design, build, test and maintain data ingestion and transformation solutions that meet current and emerging needs. Develop reusable, automated ingestion and transformation patterns and frameworks. Prepare data for analytics, visualisation and AI use cases, with a focus on quality and query performance. Support data engineers across delivery teams through quality reviews and constructive feedback. Collaborate with project teams to deliver outcomes aligned with departmental and program priorities. Participate in agile delivery, including in-person attendance at quarterly agile ceremonies and key team events. What We’re Looking For Data engineering experience: At least five years’ experience as a data engineer, supported by relevant qualifications or training. ETL and ELT delivery: Strong experience developing solutions for large or complex data movement, transformation and visualisation, particularly in cloud environments. Azure technology expertise: Experience across Azure Data Factory, SQL Server Integration Services, Databricks, SQL Server, Azure Data Lake Storage, Azure Machine Learning, Azure DevOps and Visual Studio. Performance optimisation: Experience preparing data for efficient querying in cloud compute engines, including Spark, graph databases and Azure SQL. Automated ingestion: Experience sourcing and ingesting data from Oracle, Ingres, Azure and SQL Server environments. Analytics-ready data: Experience transforming data into Parquet and Delta formats for advanced analytics and AI use cases. Power BI: Ability to analyse complex datasets and design visualisations suited to the intended audience. Communication and collaboration: Strong written and verbal communication, relationship-building and negotiation skills. Nice to Have Experience using Azure Data Factory and Databricks together. Knowledge of data lake and lakehouse architectures. Experience with ArcGIS Enterprise. Why Join? Deliver data engineering solutions that support decision-making across a federal government department. Work across Azure and Databricks within an established agile team. Combine hands-on engineering with technical leadership and quality oversight. Secure a 12-month engagement with the possibility of two further 12-month extensions. Citizenship and Security Clearance Applicants must be Australian citizens and hold, or be eligible and willing to obtain, Negative Vetting Level 1 (NV1) clearance .

About the role

Join us and experience Bunnings from the other side of the counter! What’s in it for you when you’re part of our team: Team discount at Bunnings and other Wesfarmers brands including Kmart, Target and Officeworks to name a few Free standard OnePass membership Access to over 100 exclusive team member benefits across health, shopping, travel and stay, wealth, work and leave 12 weeks paid parental leave, regardless of gender Fun stuff like annual festive gifts, discounted food and drinks at our Bunnings Cafe, and travelling store team member opportunities We’re genuinely invested in your career and no matter where you start with us, that pathway is yours to build About the role Turn complex enterprise data into trusted products that help teams make smarter decisions and create better experiences for customers. As a Data Engineer in our Data, AI, Loyalty and Analytics team, you’ll build scalable data pipelines, analytical datasets and models that support reporting, self-service analytics, advanced analytics and emerging AI use cases. Working with technologies including Python, dbt, Apache Airflow, Snowflake and Power BI, you’ll solve meaningful data challenges in a large and evolving environment. We’re building the bestOur team makes it happen. You’ll join a collaborative team that values practical thinking, sound engineering and continuous learning. With support to test ideas, develop your capability and take ownership, we’re Inspiring you to give it a red hot go . What’s involved This is an opportunity to shape how trusted data is created, managed and used across Bunnings. You’ll: Build and maintain reliable data pipelines and curated datasets for reporting, analytics and AI initiatives Design dimensional, semantic and other analytical models that make data easier for teams to understand and use Develop reusable transformation logic using Python, SQL, dbt and Apache Airflow Improve data quality through automated testing, monitoring, documentation and clear lineage Optimise queries and data solutions for performance, scalability and cost Translate evolving business requirements into practical, maintainable data products Partner with BI developers, data scientists, analysts, architects and product teams to deliver connected solutions Contribute to peer reviews, technical discussions and shared engineering standards Help create consistent business definitions while balancing flexibility, governance and delivery pace You’ll have room to influence how we work, strengthen our engineering practices and develop solutions that support both team members and customers. About You You enjoy turning ambiguity into clear, useful solutions. You’re comfortable exploring complex problems, asking thoughtful questions and working with others to reach the right outcome. You take pride in building data products that people can trust, but you’re also pragmatic about delivering value and improving things over time. You value quality, reuse and clear documentation, and you’re keen to share ideas through design discussions and peer reviews. The team works across technical and business disciplines, so you’ll thrive by communicating openly, listening to different perspectives and making complex concepts easier to understand. A can-do approach, curiosity and willingness to keep learning will help you make a strong contribution. What you’ll need Around five or more years of experience in data engineering or comparable practical experience Strong hands-on capability with Python, SQL, dbt and Apache Airflow Experience building data pipelines and analytical solutions on cloud platforms such as Snowflake Knowledge of dimensional modelling, Data Vault or other contemporary modelling approaches Experience developing semantic layers and business-friendly data structures Understanding of data governance, quality, lineage and metadata principles Familiarity with source control, CI/CD, automated testing and engineering practices Experience working in Agile, cross-functional product teams A relevant qualification or equivalent industry experience Exposure to Power BI, retail data, machine learning or AI-enabled analytics would be useful but isn’t essential Ready to join us? Apply now and help shape trusted data products that make a real difference across Bunnings. You’ll be part of a workplace where you’ll feel like you belong. We love the diversity across our teams, brought together in an inclusive culture guided by our values. We welcome applications from individuals of all ages, cultural backgrounds, abilities, sexual orientations, and gender identities. We strongly encourage Aboriginal and Torres Strait Islander peoples to apply and join us in shaping a workplace that celebrates First Nations voices, perspectives, and contributions. Please note, you must be age 15 or over to apply for a role at Bunnings. We’re all about fairness at Bunnings, and our team’s here to support you every step of the way. If you need any adjustments, just let us know - we’re here to help. If you’ve got the experience, skills, and drive to grow - but don’t quite nail every part of the job description - we still want to hear from you. For support, contact us at [email protected] . Bunnings reserves the right to close job advertisements at any time, so we encourage you to apply early. We do not accept unsolicited resumes from recruitment agencies, as we have a dedicated internal Talent Acquisition team managing all hiring processes. About Us Bunnings is the leading retailer of home improvement and lifestyle products in Australia and New Zealand. We're proud to support project builders, commercial tradespeople and the housing industry through our network of stores, trade centres, frame and truss sites and online. At Bunnings, our purpose is simple: we’re here to inspire people to have a red hot go! Whether that's backing our team to grow, supporting customers to take on new projects, or helping communities make a real difference. By joining our passionate and diverse team, you will be part of a culture that encourages you to roll up your sleeves and build something great together. If you’re ready to have a go, apply today. Please note if you are offered a role with us, background checks may be required. This can include police, employment, medical and qualification checks. If a police check search returns a criminal record, Bunnings will assess whether the record impacts your ability to perform the key requirements of the role.

About the role

Our federal client is looking for a Data Engineer to join its Enterprise Analytics and Technology Services (EATS) section to work across its data and analytics platforms. We are seeking candidates with strong experience in developing Extract, Transform, Load (ETL) and Extract, Load, Transform (ELT) processes, and /or the development of data products and complex data visualisations. The role will be responsible for design, development and testing activities across several data movement, data transformation, and data visualisation processes within DAFF. The data movement and transformation processes focus on the preparation of data for use in decision making processes across the department, utilising modern cloud technology (Azure & Databricks) to enable operational analytics use cases. To be successful in the role, you must have a strong work ethic including taking ownership, providing leadership, having a high level of productivity, and working with a multi-disciplinary team in an Agile development environment. You must have suitable qualifications or training in data engineering techniques and at least 5 years’ experience working as a data engineer. Requirements Responsibilities include, but not limited to: Be responsive, flexible, and work collaboratively as part of an agile team. Strong relationship building, and negotiation skills. Strong written and oral communication skills. Creating and maintaining automated ingest and transformation patterns and frameworks. Designing, building and maintaining data ingest and transformation solutions to meet current and emerging needs. Assisting project teams achieve objectives that align with departmental, divisional, and program priorities. Supporting data engineers in delivery teams, through regular quality reviews and constructive feedback on utilising data assets to produce quality data products. The successful candidate will require experience with the following techniques and technologies: Azure hosted services including: Data Integration - Data Factory, SQL Server Integration Services and/or Databricks Data Store - SQL Server and/or Data Lake Storage Analytics - Azure Databricks, Azure Machine Learning, ArcGIS Enterprise Development tools – DevOps, Visual Studio Data technology solutions – sourcing (Oracle, Ingres, Azure, SQL Server), automated ingestion Data Preparation Transformation of data into formats tailored for advanced analytics and AI use cases – Parquet and/or Delta Data Visualisation Analyse and interpret complex data sets, and to identify trends and patterns. Design principles to create appropriate visualisations for target audience. Visualisation tools - Power BI.

About the role

Senior Data Engineer | SQL Server DBA We are partnering with an established organisation to recruit an experienced Senior Data Engineer to join their technology team. This is a hands-on senior role for someone with strong expertise across Microsoft SQL Server administration and development, enterprise data warehousing, ETL/SSIS and Power BI . You'll take ownership of an existing data environment while contributing to future modernisation initiatives, including database upgrades and the evaluation of emerging Microsoft data technologies. What You'll Be Doing Administer, maintain, secure and optimise Microsoft SQL Server environments. Develop and optimise complex SQL queries, stored procedures, functions, views and database objects. Design and maintain enterprise data warehouse solutions and dimensional data models. Build and support ETL/ELT pipelines , including advanced SSIS development. Develop and optimise Power BI semantic models, datasets, reports and dashboards. Support integrations across APIs, XML/JSON and enterprise business systems. Troubleshoot complex database, data warehouse and reporting issues. Support SQL Server upgrades, migrations and broader data-platform modernisation. Implement data security, governance, monitoring and quality controls. The position covers the full data lifecycle, with a strong emphasis on hands-on database administration, performance optimisation and production support , rather than being purely a reporting or BI role. What We're Looking For Ideally, you will bring 5 years of experience as a Senior Data Engineer, Database Administrator, Data Warehouse Developer or in a similar technical role, with: SQL Server Administration: Strong hands-on experience with installation, configuration, maintenance, patching and production database management. Database Performance Tuning: Advanced experience with query optimisation, execution plans, indexing strategies, Query Store, DMVs and performance monitoring. Database Design & Data Warehousing: Experience with enterprise data warehouses, Kimball methodologies, star schemas and dimensional modelling. Advanced T-SQL Development: Expertise in complex stored procedures, functions, CTEs, window functions and other advanced SQL techniques. Database Migrations & Upgrades: Experience with SQL Server upgrades, migration planning, testing, deployment and rollback strategies. Automation & Monitoring: Practical experience with SQL Server Agent, SSIS, PowerShell, monitoring tools and automated maintenance. Power BI & Data Integration: Strong experience developing reporting solutions, data models and ETL/ELT integrations. Stakeholder Engagement: Excellent problem-solving, documentation and communication skills, with the ability to collaborate across technical and non-technical teams. Experience with Microsoft Fabric, Azure data technologies, Snowflake or other modern data platforms will be highly regarded but is not essential. Why Consider This Opportunity? This is an opportunity to step into a genuinely senior, hands-on position where you can take ownership of a business-critical data environment and influence its future direction. You'll work across SQL Server, data warehousing, integration and reporting while contributing to meaningful technology improvements and long-term modernisation initiatives. The role offers the opportunity to work closely with key stakeholders, solve complex technical challenges and make a tangible impact across the organisation. Interested? Apply now or reach out for a confidential discussion.

About the role

Our client has a National Footprint that operates a widespread network of businesses across Australia. They currently have a need for The Data Engineer AI to join the Melbourne Team to help build reliability for their data platform on Microsoft Fabric. About the Role: The Data Engineer is a new role created to own the build, reliability and ongoing operation of our client's data platform on Microsoft Fabric. Working with the AI Solutions Engineer this role is responsible for building the pipelines, data models and quality controls that turn Microsoft Dynamics 365 Business Central and other operational data into the business's unified, high-integrity data foundation. This is a newly created position for a Data Engineer to completely own the build, reliability, and ongoing operations working within a small progressive team utilising AI coding assistants to accelerate delivery. Immediate Priorities Include: Completing the Gold layer KPI set. Loading historical data for newly acquired businesses. Ensuring seamless data flow during the major Business Central ERP Optimisation Program. Key Responsibilities: Fabric Pipeline Engineering: Build, schedule, and maintain Fabric pipelines, notebooks, and dataflows across the medallion architecture (Bronze, Silver, Gold). Data Warehouse Delivery: Design conformed dimensions and fact tables, delivering historical data migrations and backfills to support advanced reporting. Operations & Ingestion: Monitor pipeline health, manage incremental loads, handle deletions/CDC, and optimize Fabric capacity consumption. Data Quality & Governance: Implement automated data quality checks and reconciliations back to source, providing clean datasets to the Power BI reporting team. Modern DevOps: Manage work through Azure DevOps backlogs, utilising Git and Fabric deployment pipelines. Experience implementing data quality checks, reconciliation and monitoring so issues are found before the business finds them Working knowledge of source control and deployment practices, including Git, Azure DevOps and Fabric deployment pipelines Ideal Skills & Experience Required: Experience: 3-5 years of data engineering experience building and supporting production pipelines. Microsoft Fabric: Hands-on experience with Lakehouse, Data Factory pipelines, Dataflows Gen2, and notebooks (essential). Technical Stack: Strong SQL and PySpark (or Spark SQL) skills for data transformation, modelling, and performance tuning. Architecture: Practical experience with medallion architecture and dimensional modelling. AI Savvy: Comfortable using AI coding assistants (e.g., Claude, GitHub Copilot) to accelerate your development with the judgment to validate the output. Communication: Clear communication style with the ability to explain data issues to non-technical stakeholders. Working with Technology vendors and Microsoft implementation partners Highly Regarded: Experience with Microsoft Dynamics 365 Business Central data structures Exposure to ERP consolidation or migration programs, including historical data loads Background in Azure Data Lake Storage (ADLS), Azure Data Factory, or Azure Synapse. Microsoft certifications Exposure to retail, healthcare, or supply chain environments. What's on Offer: The chance to play a foundational role in shaping a modern data platform. A supportive, tech-forward culture that embraces AI and automation. A stable, fast-growing national company that makes a real difference in the community. Commitment to your ongoing professional development and training. How to Apply If you are a proactive, self-directed Data Engineer embracing AI technologies and ready to champion a modern Microsoft Fabric 365 Business Central environment, click "Apply for this job" today

About the role

Description Join Us at a Defining Moment At Intelligen, we’re building something different. Over the past three years, we’ve evolved from a bold startup to a trusted partner for some of Australia’s most complex data transformations. As demand for modern data engineering accelerates, we’re expanding our consulting team with hands-on technical talent who can help clients uplift and modernise their data platforms at speed. We’re now embarking on a major engagement with a key enterprise client and are looking for experienced dbt /Snowflake data engineers who can re-engineer, optimise, and domain-align existing data models and pipelines. If you thrive in delivery-focused environments, enjoy solving complex data challenges, and want to shape how modern data engineering is done across Melbourne, we’d love to meet you. About the Role You’ll be part of an integrated Intelligen consulting team, working closely with our architects, senior consultants, and client-side technical stakeholders. This role is ideal for engineers who are hands-on, delivery-driven, and comfortable working in fast-moving, iterative project environments. What you'll do Solid Snowflake experience, including schema design, performance tuning, and warehousing best practices. Contribute to solution design, technical decisions, and modelling best practices Work closely with client data teams to ensure maintainability, performance, and clarity of lineage. Support CI/CD, testing, and documentation of all aspects of data engineering projects. Collaborate with the broader Intelligen consulting practice as part of a multi-resource delivery team. Contribute to ongoing consulting engagements beyond the initial project as part of our integrated consulting pool. Requirements 4-6 years’ experience in data engineering. Strong, hands-on ETL expertise Solid Snowflake experience, including schema design, performance tuning, and warehousing best practices. Experience with SQL transformation work, with dimensional or domain data modelling and modern data stack tooling a plus. Experience working to documentation standards. Experience working with client data teams. Consulting experience is a plus but not required. Eligible to work in Australia. Must have(s) Strong, practical Snowflake engineering experience (the strongest requirement) Ability to deliver independently within a structured consulting engagement. Benefits Why Intelligen? We're not just delivering AI and data projects. We're humanising them. That means we care deeply about the how, not just the what. We value curiosity, creativity, and a willingness to challenge the status quo. We look for people who are driven to build a business, get curious, and contribute ideas that shape our future. As well as: Work From Home - Flexible hours Training & Development Free Food & Snacks in the office Multiple socials and community groups Opportunity to drive projects that are of interest to you! You’ll work with a team that’s smart, kind, and ambitious. You’ll have real influence in your projects, your practice, and our business. And as we grow, so will you!

About the role

Description Join Us at a Defining Moment At Intelligen, we’re building something different. Over the past three years, we’ve evolved from a bold startup to a trusted partner for some of Australia’s most complex data transformations. As demand for modern data engineering accelerates, we’re expanding our consulting team with hands-on technical talent who can help clients uplift and modernise their data platforms at speed. We’re now embarking on a major engagement with a key enterprise client and are looking for experienced dbt /Snowflake data engineers who can re-engineer, optimise, and domain-align existing data models and pipelines. If you thrive in delivery-focused environments, enjoy solving complex data challenges, and want to shape how modern data engineering is done across Sydney, we’d love to meet you. About the Role We’re looking for multiple Data Engineers with strong experience in ETL and DWH technologies, inc. dbt and Snowflake, ideally with data modelling capabilities You’ll be part of an integrated Intelligen consulting team, working closely with our architects, senior consultants, and client-side technical stakeholders. This role is ideal for engineers who are hands-on, delivery-driven, and comfortable working in fast-moving, iterative project environments. What You’ll Do Re-engineer and refactor existing dbt models to align with domain-driven design principles. Solid Snowflake experience is essential, including schema design, performance tuning, and warehousing best practices. Contribute to solution design, technical decisions, and modelling best practices Work closely with client data teams to ensure maintainability, performance, and clarity of lineage. Support CI/CD, testing, and documentation of all aspects of data engineering projects. Collaborate with the broader Intelligen consulting practice as part of a multi-resource delivery team. Contribute to ongoing consulting engagements beyond the initial project as part of our integrated consulting pool. Requirements 3-5 years’ experience in data engineering. Strong, hands-on ETL expertise Solid Snowflake experience, including schema design, performance tuning, and warehousing best practices. Ideally experience with SQL, data modelling (dimensional/domain), and modern data stack tooling. Ability to operate in “doer mode”, comfortable rolling up sleeves and delivering quickly in line with agreed standards. Consulting experience is a plus but not required; strong communication and problem-solving skills are essential. Must-have's Strong, practical Snowflake engineering experience (the strongest requirement) Advanced dbt capability Ability to deliver independently within a structured consulting engagement. Benefits We’re not just delivering AI and data projects we’re humanising them. That means we care deeply about the how, not just the what. We value curiosity, creativity, and a willingness to challenge the status quo. We look for people who are driven to build a business, get curious, and offer opinions and ideas. You’ll join a team that’s smart, kind, and ambitious. You’ll have real influence - in your projects, your practice, and the broader business. And as we grow, so will you. Here’s what that looks like: Grow With Purpose Structured development pathways so you always know what you’re working toward. Paid certifications across all major cloud and data technologies — because mastery matters Weekly training, guilds and knowledge exchanges where practitioners share real project insights. Support That Helps You Thrive A dedicated support lead to mentor, guide and help you navigate your career Regular 360° feedback loops, giving you clear direction and honest insight into your progress. A Community You’ll Enjoy Being Part Of Innovation days where you can experiment, prototype and sharpen new skills. Team days, social catchups, many new community clubs… Opportunities to lead, influence and shape our growing practice as we expand across the region. If you want to be part of a team that cares just as much about how we deliver as what we deliver; where curiosity is valued, ideas matter, and your impact is felt - drop us a message and start the conversation today

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