Data Engineer Jobs. Australia

Lead Data Engineer » Melbourne, VIC - we're looking for an experienced Lead Data Engineer to design, build and evolve our enterprise data platform and engineering... data foundations behind the future of adventure travel? At Intrepid we're looking for an experienced Lead Data Engineer • Fri, 11 Sep • Intrepid Travel

Data Engineer » Australia - Full-Time Permanent Role Flexible location between BaptistCare Shared Services sites Sydney or Melbourne. Be part of a purpose-led organisation making a genuine difference in people's lives About the Role We are seeking an experienced Data Engineer to join our Information & Digital team and play a key role in delivering BaptistCare's data transformation strategy. Reporting to the Head of Data Platform & Engineering , you will be responsible for designing, developing and maintaining scalable data pipelines, data models, Lakehouse solutions and cloud-based data platforms that support enterprise reporting, advanced analytics and business decision-making across the organisation. Working with enterprise applications, APIs, databases, legacy systems and file-based sources, you will help ensure trusted, high-quality data is available to support strategic and operational decision-making. You'll collaborate closely with BI Analysts, Data Scientists, business stakeholders, architects, technology teams and external vendors/partners to understand requirements, participate in solution design workshops, build reliable data assets and modernise BaptistCare's data ecosystem. The role will take end-to-end ownership of data engineering solutions from requirements gathering and design through development, deployment, production support and continuous optimisation, while ensuring data quality, governance, security and operational reliability. About You Undergraduate qualification in Information Technology, Computer Science or a related discipline Minimum 6 years' experience in Data Engineering, Data Warehousing or Business Intelligence roles Experience developing ELT pipelines using Azure Data Factory, Snowflake, Azure Synapse and dbt Strong SQL development, data modelling and data warehousing experience, including experience with large and complex datasets Experience implementing Lakehouse solutions, Medallion Architecture and enterprise data models Experience migrating data from legacy systems and databases to Snowflake, with a strong focus on data quality and integrity Strong analytical, problem-solving and end-to-end solution ownership capabilities, including troubleshooting production data pipelines Strong stakeholder communication skills and experience translating business requirements into technical solutions and participating in solution design workshops Experience using Azure DevOps/Azure Repos for source control, CI/CD and Agile delivery, with a commitment to engineering standards, documentation and continuous improvement Demonstrated ability to manage competing priorities and deliver high-quality outcomes while working in a manner consistent with BaptistCare's Christian identity and organisational values Highly Regarded Experience with Snowflake, Azure Data Lake, Microsoft Fabric or similar cloud data platforms Experience with dbt, including modular data modelling, testing, documentation and engineering best practices Experience with Python and/or other data engineering tools Experience with Azure Synapse and modern Azure data services Experience developing dimensional data models, semantic layers and curated data products Experience with MuleSoft Integration Platform Microsoft Azure, Snowflake and/or dbt certifications Experience working with healthcare, aged care or community services systems Understanding of data governance, metadata management, data lineage, security and data management practices Experience working within highly regulated environments Key Responsibilities Design, develop and maintain scalable ELT pipelines and data integration solutions using Azure Data Factory, Snowflake, Azure Data Lake and related technologies Ingest and integrate data from enterprise applications, APIs, databases, legacy systems and file-based sources, including migration from on-premises environments Build and optimise modern Lakehouse solutions using Medallion Architecture to deliver trusted, reusable and analytics-ready data assets Develop and maintain dbt models, dimensional data models, semantic layers and curated data products aligned with business requirements and enterprise standards Perform data profiling, cleansing, validation and reconciliation, and implement testing and monitoring to ensure data quality, integrity and reliability Take end-to-end ownership of data engineering solutions from requirements gathering and solution design through development, deployment, production support and continuous optimisation Monitor, troubleshoot and resolve data pipeline and platform issues, while optimising Snowflake performance, storage utilisation, query efficiency and overall platform reliability Apply data governance, security, metadata management, data lineage and documentation practices to ensure trusted, compliant and well-managed enterprise data Collaborate with BI Analysts, Data Scientists, business stakeholders, architects and technical teams to deliver fit-for-purpose data solutions and support Agile sprint commitments Utilise Azure DevOps and Azure Repos for source control, CI/CD and release management, while contributing to engineering standards, knowledge sharing and continuous improvement About Us BaptistCare is a leading purpose-led care organisation, guided by our Christian identity and serving people and communities across Australia for more than 110 years. We support people to live better through aged care, home care, retirement living, community services, disability support and housing. We know that life's challenges can make our world feel smaller. With the right people alongside us, it can feel more connected, supported and hopeful again. That's what we work towards every day, enriching lives through communities of care. Today, more than 70,000 customers, 12,000 employees and close to 2,000 volunteers are part of our communities across Australia. If you would like to be considered for this role, please click "Apply" and attach your resume. Applicants are encouraged to apply as soon as possible as applications may be reviewed prior to the closing date. Closing dates may change without notice. Successful applicants will be subject to a variety of background checks including a National Police Check, relevant screening checks and verification of work rights. BaptistCare – Inspired by Jesus to champion care for all. Please note: This position is being managed directly by our internal Talent Acquisition team. We respectfully request that recruitment agencies refrain from contacting employees directly, as all communications must go through the Talent Acquisition team. Unsolicited candidate profiles or CVs from recruitment agencies will not be accepted. • Sun, 13 Sep • BaptistCare

Data Engineer » Adelaide, Adelaide Region - Introduction Full-time, permanent opportunity Based in Adelaide CBD Design scalable pipelines, improve data quality and enable smarter business decisions with Databricks Major projects. High earning potential. Grow your career within. Description Who is CPP? CPP is a leading high-voltage infrastructure provider, connecting renewable energy projects to Australia’s electricity grid. As a member of Quanta Services, a Fortune 500 company ranked 192 on the NYSX, we specialise in the design, construction, commissioning, and maintenance of substations, transmission lines, wind farms, and battery storage systems. Established in 1996, we’ve connected more wind farms and renewable batteries than any other company. With over 800 employees and offices in Adelaide, Melbourne, Sydney, Brisbane and Perth, we partner with Australia’s major transmission providers to deliver innovative, end-to-end solutions. Join us in shaping the future of energy. The opportunity We are seeking an experienced Data Engineer to help build and mature this capability using a Group-managed Databricks platform. This is a greenfield opportunity with genuine scope to influence how CPP connects, governs and uses data across the business. You will take ownership of CPP’s data engineering delivery, developing reliable pipelines, curated datasets and data-quality controls. Working across systems including IFS Cloud, InEight, Primavera P6, Microsoft Project, SharePoint and Dynamics CRM, you will transform source data into governed, reusable data products for Power BI and other analytics uses. The role combines hands-on engineering with business engagement. You will work closely with CPP’s Data & Analytics team, business stakeholders, Group IT and platform specialists to validate requirements, resolve data-quality challenges and deliver practical, maintainable solutions. This is an opportunity to shape a long-term data capability, gain exposure to business-critical reporting priorities and make a visible contribution during a broader period of transformation. Key responsibilities: • Design, build and maintain production data pipelines within Databricks. • Develop batch, incremental, API and file-based ingestion solutions. • Transform raw data into trusted, business-ready datasets. • Implement automated testing, monitoring and data-quality controls. • Maintain clear technical documentation and source-to-target mappings. • Partner with stakeholders to translate reporting requirements into practical solutions. • Support governance, metadata, lineage and secure data access. • Provide curated datasets for Power BI reporting and analytics. Skills And Experiences About you To be successful in this role, you will possess: Tertiary qualifications in Computer Science, Information Technology, Data Engineering, Analytics or a related discipline Demonstrated experience delivering production data engineering solutions. Data warehouse or modern cloud data platform experience, ideally Databricks. Strong SQL and Python skills, with exposure to Spark or PySpark and Delta Lake. Experience with automated testing, data quality, monitoring, Git and CI/CD practices. Strong stakeholder engagement and the ability to explain complex data concepts clearly. Experience with project-based industries such as construction, engineering, utilities or infrastructure will be highly regarded. If you enjoy solving complex data problems, working closely with stakeholders and building reliable solutions that create lasting business value, we would like to hear from you. Be rewarded at CPP. At CPP, we value our people above all else. We’re dedicated to investing in and developing your talent to help you reach your full potential. By joining us, you’ll have the opportunity to work on industry-leading projects and access the latest technologies. We foster a culture of innovation and welcome fresh ideas – if you're ready to challenge the status quo, we want you to be part of our team. Benefits include: Above-market salary package with annual reviews Annual bonus, discretionary based on individual and business performance We offer flexible working options, with the ability to work from home one day a week Access to study assistance for continuous development, and a strong focus on internal promotions to help you grow within 16 weeks paid primary parental leave and 6 weeks paid secondary parental leave Up to 2 weeks of purchased leave We actively invest in AI capability, providing access to premium AI subscriptions to help you work smarter, solve complex problems and deliver better outcomes Choice between an iPhone or Samsung mobile Choice between an iPhone or Samsung mobile Generous employee referral program up to $4,000 Access to an extensive benefits and discounts program with savings at over 400 retailers Free Employee Assistance Program for you and your family, supporting physical, mental, and financial wellbeing How to Apply: To submit an application please upload your resume via the links provided. For further information, please reach out to [email protected] however applications will not be accepted via email. CPP is an equal opportunity employer that fosters a culture of achievement, personal development and offers a diverse, safe and supportive work environment. • Sun, 13 Sep • Cpp Elmo Hris

Data Engineer » Canberra Region, Australian Capital Territory - This is a specialist government agency that provides data, research and analysis on key economic and social themes. You'll be working on a significant national policy program, building a standardised, evidence-based framework used to classify and connect information across interconnected sectors. The Opportunity This is your chance to build the complex data pipelines behind a national classification challenge. Real influence over how the technical build takes shape, not just maintaining someone else's pipeline Led by a people-focused Band 1 with a robust academic background and a clear direction for the project Take existing pipelines and AI models into production as a fully operationalised CI/CD capability Core stack is Databricks and Python Long-term contract, October 2026 to 30 June 2027, with a 12-month extension option The Role The key technical priorities for you to deliver in the first 3-6 months are: Refactor and expand the data ingestion stage to support new use cases, including turning unstructured data into structured data Automate data ingestion across multiple data sources Design and implement a data quality and validation layer for large-scale datasets Additionally, you will be: Building and maintaining model-serving, deployment and API integration capabilities Applying data governance, metadata, lineage and versioning practices alongside DevOps/MLOps standards - CI/CD, testing and documentation Working with data scientists, policy and information management stakeholders to translate agreed definitions and business rules into the pipeline, including integrating outputs with downstream systems The Ideal Person You're a senior data engineer with advanced Python skills, comfortable managing large-scale datasets, automating workflows and building pipelines across cloud or distributed platforms. You've taken machine learning, NLP or generative AI solutions into production, with the data quality, lineage and MLOps practices to back it up. You will bring the following skills and experience: Advanced Python and modern data engineering skills, at scale Hands-on experience with Databricks or an equivalent cloud/distributed platform A track record taking ML, NLP or generative AI into production - APIs, model serving and MLOps included Due to the nature of the work, Australian Citizenship and an existing Baseline security clearance is mandatory. Salary This role is being offered as an EL1 equivalent full-time labour hire contract from October 2026 to 30 June 2027, with a 12-month extension option There is no set rate for this RFQ. However the value for you coming through myself for this opportunity is that I have extensive experience recruiting into this market, I work with each candidate individually to land on a rate that’s competitive Hybrid working, multiple locations across the country How to Apply To apply online, please click on the appropriate link. For a confidential discussion about the role, please contact Lucas Walker on 0483 911 561 quoting ref no. 21848 . HorizonOne is committed to building a diverse and inclusive workforce and we encourage applications from people of all cultures, capabilities and backgrounds. • Sat, 12 Sep • HorizonOne

Network Development Engineer, Core Network - Data Center Life Cycle » Sydney, NSW - Centers selected for exit. We are looking for a Network Development Engineer III (NDE) to join our Data Center Life Cycle... infrastructure. In other words, we're the people who keep the cloud running. We support all AWS data centers and all of the servers • Sat, 12 Sep • Amazon

Data & AI Engineer » Melbourne, VIC - Overview Role: Data Engineer (mid-level) Position: Full time, permanent Start Date: October 2026 Location / Office... that your resume includes your experience as an Engineer with cloud data experience (coding, pipelining, data platform engineering • Sat, 12 Sep • Charterhouse • AU$100000 - 130000 per year

Senior Data Engineer - NV1 » Sydney, NSW - Job Overview We're looking for an NV1 Senior Data Engineer to join a federal government digital health agency. You'll... clearance (or eligible to obtain) + Australian citizenship. 7+ years as a data engineer, with strong expertise in modern cloud • Fri, 11 Sep • Bluefin Resources

Senior Data Engineer » Melbourne, VIC - We are seeking a Senior Data Engineer to support our client's Data Strategy by developing and managing its Microsoft... Fabric data platform. You will act as the technical SME for Microsoft Fabric and independently design, build and maintain • Fri, 11 Sep • Sharp & Carter

Lead Data Engineer - Support Services Global Support Centre » Geelong, VIC - looking for a Lead Data Engineer to join the team. Reporting to the Head of Data & Analytics Technology, you'll be our technical lead... across data engineering initiatives, helping shape how data is designed, built and delivered across the Group. You'll bring • Fri, 11 Sep • Cotton On

Lead Data Engineer » Melbourne, VIC - we're looking for an experienced Lead Data Engineer to design, build and evolve our enterprise data platform and engineering... data foundations behind the future of adventure travel? At Intrepid we're looking for an experienced Lead Data Engineer • Fri, 11 Sep • Intrepid Travel

Senior BI and Data Engineer (Sydney) » Sydney, NSW - is recruiting on behalf of a leading Australian health services organisation for a Senior Business Intelligence Engineer, embedded... in the product team. This team needs the person who straddles both Data Engineering and Data Analysis, who can write the code • Fri, 11 Sep • Trideca

Staff Data Engineer » Sydney, Sydney Region - 2. Staff Data Engineer Key responsibilities 1. Design the Collections Snowflake and PySpark architecture. 2. Lead integration with commbank.data. 3. Model HPS card and account data for Collections use cases. 4. Define data contracts and schema-evolution standards. 5. Establish automated data-quality and reconciliation controls. 6. Design restartable, idempotent and recoverable pipelines. 7. Optimise Snowflake and PySpark workloads. 8. Establish production monitoring and data-pipeline observability. 9. Lead technical reviews and complex data investigations. 10. Mentor Senior Data Engineers and Data Engineers. 11. Work closely with Cards MOD, PCC and platform teams. Essential skills a) Strong production Snowflake experience. b) Strong production PySpark / Spark experience. c) Python. d) Advanced SQL. e) AWS. f) S3. g) Enterprise data engineering. h) ETL/ELT and data modelling. i) Data quality and reconciliation. j) CI/CD and automated testing. k) Production support. Highly regarded EMR / EMR Serverless. Step Functions. Lambda. Cards or payments data. Collections or lending. PowerCurve Collections. Key responsibilities 1. Design the Collections Snowflake and PySpark architecture. 2. Lead integration with commbank.data. 3. Model HPS card and account data for Collections use cases. 4. Define data contracts and schema-evolution standards. 5. Establish automated data-quality and reconciliation controls. 6. Design restartable, idempotent and recoverable pipelines. 7. Optimise Snowflake and PySpark workloads. 8. Establish production monitoring and data-pipeline observability. 9. Lead technical reviews and complex data investigations. 10. Mentor Senior Data Engineers and Data Engineers. 11. Work closely with Cards MOD, PCC and platform teams. Essential skills a) Strong production Snowflake experience. b) Strong production PySpark / Spark experience. c) Python. d) Advanced SQL. e) AWS. f) S3. g) Enterprise data engineering. h) ETL/ELT and data modelling. i) Data quality and reconciliation. j) CI/CD and automated testing. k) Production support. Highly regarded EMR / EMR Serverless. Step Functions. Lambda. Cards or payments data. Collections or lending. PowerCurve Collections. When you apply, you voluntarily consent to the disclosure, collection and use of your personal data for employment/recruitment and related purposes in accordance with the Tech Aalto Privacy Policy, a copy of which is published at Tech Aalto’s website (https://www.techaalto.com/privacy/) Confidentiality is assured, and only shortlisted candidates will be notified for interviews. • Fri, 11 Sep • Tech Aalto

Data Engineer Consultant » Sydney, Sydney Region - This is a great opportunity for a Data Engineer who wants more than a traditional in-house role. You’ll join a fast-growing technology consultancy working across complex client environments, building modern data platforms and solving real business problems across cloud, data and emerging technology. You’ll work across a mix of projects, technologies and industries, with strong support, plenty of learning and the opportunity to broaden your technical capability quickly. What you’ll be doing Designing and building scalable data pipelines Working across modern cloud data platforms Solving complex client problems with practical, well-engineered solutions Collaborating with engineers, analysts, architects and platform teams Contributing across the full delivery lifecycle, from requirements through to implementation What we’re looking for 2 years’ experience in Data Engineering, Software Engineering or a closely related area Strong SQL and Python Exposure to Databricks, Snowflake, BigQuery or similar modern data platforms Experience with AWS, Azure or GCP Git and modern engineering practices Strong problem-solving ability and genuine curiosity Excellent communication and the confidence to work directly with clients Consulting experience is highly regarded Relevant degree in Computer Science, Engineering, Mathematics, Physics or similar This environment will suit someone who is curious, adaptable, commercially minded and wants to keep learning rather than being boxed into one technology stack. The original role also places strong emphasis on client impact, experimentation and balancing independent delivery with teamwork. • Thu, 10 Sep • Correlate Resources

Data Engineer » Melbourne, VIC - 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 • Thu, 10 Sep • NTT Data

Data Engineer » Australia - This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Data Engineer based in Australia. This role offers the opportunity to help build, maintain, and modernize a growing data platform in a cloud-first environment. You will design reliable data pipelines and scalable data solutions that enable teams to access and use high-quality information effectively. The role combines modern AWS infrastructure with opportunities to improve and transition legacy data processes. You will work across batch and real-time data workflows, APIs, integrations, and data warehouse solutions. Collaboration with analytics teams and other stakeholders will be central to understanding requirements and delivering practical solutions. This is a hands-on opportunity to improve data reliability, performance, security, and quality while contributing to the evolution of the broader data architecture. Accountabilities Design, develop, and maintain scalable and reliable data pipelines and Extract, Transform, Load (ETL) and Extract, Load, Transform (ELT) processes. Develop, maintain, and optimize data warehouse solutions and data models. Build and maintain data infrastructure primarily on Amazon Web Services (AWS), while supporting relevant legacy systems. Develop APIs and data integrations to enable effective data exchange across systems. Contribute to real-time data pipelines and processing using Apache Kafka. Automate and optimize data processes, workflows, and operational tasks. Monitor, troubleshoot, and continuously improve the reliability, performance, security, and data quality of pipelines and infrastructure. Work closely with analytics teams and other stakeholders to understand data requirements and deliver effective technical solutions. Maintain accurate and up-to-date documentation covering pipelines, infrastructure, workflows, and operational processes. Contribute to the modernization of legacy data processes, infrastructure, and overall data architecture. Requirements 2 years of professional experience in data engineering. Strong SQL and Python programming skills. Hands-on experience with AWS services, particularly Amazon S3, Amazon Redshift, AWS Glue, and AWS Lambda. Practical experience with Apache Airflow for data workflow orchestration. Strong understanding of data warehousing principles and data modeling. Experience designing, developing, and maintaining production-grade data pipelines, with a strong focus on reliability, monitoring, and data quality. Solid understanding of both relational and non-relational databases. Familiarity with Git and Continuous Integration/Continuous Deployment (CI/CD) practices, preferably using GitLab. Experience developing APIs and building data integrations. Strong written and verbal communication skills. Upper-intermediate English proficiency or higher. Experience with Kafka and real-time data processing is a plus. Experience with Microsoft SQL Server and SQL Server Integration Services (SSIS) is a plus. Benefits Full-time position. Opportunity to work within an Analytics-focused environment. Remote working arrangement. Opportunity to contribute to modern cloud-based data infrastructure. Hands-on exposure to AWS, Airflow, Kafka, data warehousing, and data modernization initiatives. Opportunity to contribute to the improvement of data reliability, quality, performance, and architecture. Collaborative work with analytics teams and cross-functional stakeholders. How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best! Why Apply Through Jobgether? Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time. LI-CL1 We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us. • Thu, 10 Sep • Jobgether

Principal Software Engineer, Customer Channels and Data » Sydney, NSW - Principal Software Engineer, Customer Channels and Data Business Banking Technology *Sydney & Melbourne locations... Banking. As a Principal Engineer, you'll help define the future architecture of these platforms while remaining close enough • Thu, 10 Sep • Commonwealth Bank of Australia

Senior Data Migration Engineer » Australia - Senior Data Migration Engineer | 12-Month Contract | Canberra | NV2 Clearance About the opportunity A leading global... professional services and technology consulting firm is looking for a Senior Data Migration Engineer for a 12-month contract • Wed, 09 Sep • Professional Recruitment Australia

Lead Data Engineer » Melbourne, VIC - in office. We are seeking a highly experienced Senior Lead Data Engineer to drive the strategy, architecture, delivery... an experienced Azure Data Engineer looking for your next contract opportunity, we'd love to hear from you. • Wed, 09 Sep • Luvo Talent

EL1 One Senior Data Centre Design Infrastructure Engineer » Sydney, NSW - . The Data Centre Design Infrastructure Engineer plan, design, maintain and build core IT or digital systems network... strategic planning, mapping and modelling development; Providing concise data reports and clear data visualizations • Wed, 09 Sep • Softtestpays

5G Core Data Management Support Engineer » Sydney, NSW - ## Join our Team About this opportunity: At Ericsson, we are seeking an experienced Support Engineer... suits a technically strong, customer-focused engineer who thrives in carrier-grade environments, takes ownership of critical • Wed, 09 Sep • Ericsson

Senior AI & Data Engineer » Melbourne, VIC - 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 Sydney or Melbourne, this role sits on our Engineering • Wed, 09 Sep • Deloitte

Senior Data Engineer » Perth, WA - Senior Data Engineer: Initial 6 months contract Work with the global client Experience with trading, event-driven... architectures About The Role: We are seeking 2x Senior Data Engineers to support a major data engineering initiative • Wed, 09 Sep • Paxus

Lead Data Engineer » Melbourne, VIC - Lead Data Engineer Azure Permanent | Melbourne | $180,000 base + super We are seeking a hands-on Lead Data Engineer... to lead the delivery of a large-scale Azure data platform within a major financial services environment. This role combines • Wed, 09 Sep • Professional Recruitment Australia • AU$150000 - 210000 per year

Principal Data Engineer » The Rocks, Sydney - Principal Data Engineer Employment Type : 2-year fixed-term opportunity, with the possibility of ongoing employment Salary : Clerk Grade 11/12, $154,231 - $178,369 per annum, plus employer superannuation contribution and leave loading (commensurate with experience) Location : Sydney CBD or Gosford, with flexible and hybrid working arrangements available. The State Insurance Regulatory Authority (SIRA) within the Department of Customer Service (DCS) is looking for a Principal Data Engineer to join our team. About Us The Department of Customer Service (DCS) is transforming the way NSW Government agencies interact with customers. We are passionate about putting the customer at the centre of everything we do and adopting new technologies to make government work better. DCS is a service provider and regulator, focusing on delivering first-class customer service, digital transformation and regulatory reform to create better outcomes for the people of NSW. This is an exciting opportunity to work in our State Insurance Regulatory Authority (SIRA) who regulates three statutory insurance schemes in NSW. This role sits more specifically in our data engineering team, within the Enterprise Data and Analytics directorate who are responsible for the management of SIRA’s data environment and data products. We also manage the SIRA analytics environment from the ingestion, data quality/modelling engineering, ETL/ELT orchestration to data visualisation, metrics, reporting and advanced analytics, in adherence to strict data governance requirements. Understand more about the Department of Customer Service – https://www.nsw.gov.au/customer-service and about SIRA at https://www.sira.nsw.gov.au/ Key Responsibilities Lead and develop a high-performing team of Data Quality Analysts and Technical Support specialists, fostering a culture of collaboration, continuous improvement, and technical excellence. Provide hands-on technical leadership for analytics platforms, data processing products, and data ingestion frameworks, ensuring compliance with data and architectural standards and delivery of business requirements. Design and deliver data engineering and analytics solutions in line with technical specifications, engineering best practices, and coding standards. Design, build, and maintain ETL/ELT solutions to enable the efficient extraction, transformation, and loading of data for analytics and reporting. Lead development activities across Data Engineering initiatives, providing technical direction, design guidance, workload planning, and peer review of deliverables. Apply deep technical expertise across data ingestion, transformation, storage, modelling, and reporting to deliver scalable and reliable data solutions. Mentor and support Senior Data Engineers, Data Engineers, Data Scientists, Data Analysts, and other team members to achieve project and business outcomes. Work collaboratively with business and technology stakeholders in a dynamic, fast-paced environment to deliver high-quality data products and services. Skills and Experience Experience operating as a principal engineer, lead engineer or senior technical leader within complex enterprise environments. Proven leadership experience managing high-performing technical teams Extensive experience designing, building, and supporting enterprise-scale data engineering and analytics solutions, including ETL/ELT pipelines, data integration frameworks, data warehouses, dimensional models, and cloud-based data platforms using technologies such as Snowflake, BigQuery, Redshift, Azure, AWS, and GCP. Strong practical experience with contemporary data engineering tools and frameworks, including Talend, Airflow and Dagster, and proficiency in Python, Java and SQL for building and maintaining data pipelines Proven ability to design secure, scalable, and resilient data solutions that support operational, regulatory, and analytical business requirements. Strong analytical, stakeholder engagement, and communication skills, with the ability to translate complex technical concepts into practical business outcomes. Proven ability to work collaboratively in fast-paced environments while driving continuous improvement across data engineering platforms, processes, and practices. If you are a passionate data engineering leader with experience designing and delivering scalable data platforms, driving technical excellence, and transforming data into actionable insights, we would love to hear from you. What we need from you: Please click on the link below and attach your resume (max 5 pages) and cover letter (max 1 page). In your cover letter please share your motivation for applying for this position and your relevant skills. For role related queries, please contact Tulika Varshney at [email protected] Benefits Enjoy genuine flexible working arrangements that support work-life balance. Collaborate in state-of-the-art offices designed for innovation and connection. Access a wide range of wellbeing programs and resources to support your mental, physical, and emotional health. Take advantage of excellent professional development and learning opportunities to help you thrive. Essential Requirements To be considered for roles in the NSW public sector, applicants must: Be NSW residents or in the process of relocating to NSW Hold appropriate working rights for the type of employment offered - Fixed Term roles require valid work rights for the full duration of the role Salary Grade 11/12, with the base salary for this role starting at $154,231 base plus superannuation Click Here to access the Role Description . For enquiries relating to recruitment please contact Esther Dah via [email protected]. Visit the Capability Application Tool to prepare for the recruitment process by accessing practice application and interview questions based on the focus capabilities listed in the role description. A talent pool may be created as part of this recruitment process and will be valid for up to 18 months. The talent pool may be used to fill future ongoing or temporary vacancies of the same or similar role. Closing Date: Monday, 21 September 2026 at 9:59am Careers at Department of Customer Service A career at the Department of Customer Service (DCS) gives you the opportunity to help improve government services and be part of reform that benefits people across NSW. We are focused on delivering excellent customer service, digital transformation, and regulatory reform. Come join us and influence the future of our great state. Belong in our diverse and inclusive workplace The strength of our workforce lies in its diversity and embracing difference, while the key to our success is leveraging the contributions of employees with different backgrounds and perspectives. You can view our full diversity and inclusion statement here . We provide adjustments to the recruitment process for candidates, including individuals with disability. If you require an adjustment during the recruitment process, including alternate formats or have questions about the support available, please contact Talent Operations on 02 8276 8130 or [email protected] . For more information, please visit Information on some of the different types of disabilities Information on adjustments available for the recruitment process • Wed, 09 Sep • NSW Department of Customer Service

Data Engineer » South Australia, Australia - 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 by 23rd September 2026. We are committed to diversity and inclusion and support candidate requests for adjustments to enable everyone to equitably participate in our selection process. • Wed, 09 Sep • Heritage Bank

Data Testing Engineer » Melbourne, VIC - Job description: Senior Data Testing Engineer Implementing cloud platform regression, preferably on GCP using... of related libraries to automate large‑scale transactional reconciliation and validate data availability for near real‑time data • Tue, 08 Sep • XPT Software

2 Lead Data Engineers » Canberra, ACT - Role/s: 2 x EL1 Data Engineer The EL1 Data Engineer is a senior member of the Data Services team and provides..., data modelling, code review, and implementation activities across enterprise data platforms. The Data Engineer works • Tue, 08 Sep • Indigitise

Lead Data Engineer » Melbourne, VIC - Data Engineer to drive the strategy, architecture, delivery, and optimization of enterprise-scale data platforms... such as: Azure Data Engineer Associate Azure Solutions Architect Expert Familiarity with MLOps, Data Science, and AI-driven • Tue, 08 Sep • XPT Software

Senior Data Testing Engineer » Melbourne, VIC - Job description: Senior Data Testing Engineer Implementing cloud platform regression, preferably on GCP using... of related libraries to automate large‑scale transactional reconciliation and validate data availability for near real‑time data • Tue, 08 Sep • XPT Software

Staff Data Engineer » Australia - Staff Data Engineer Role Purpose The Staff Data Engineer is a senior technical contributor responsible for designing and delivering scalable, reliable and secure data solutions. The role provides technical leadership across data engineering, analytical pipelines, data ontology, data matching, data cleansing, MLOps and automation. A key focus is transforming complex source data into trusted, reusable and dashboard-ready data products, while automating their development, deployment, testing and ongoing management. Key Responsibilities: Design and build scalable batch, streaming and analytical data pipelines. Transform source data into trusted, reusable and analysis-ready datasets. Create curated data layers, semantic models and reusable data products for dashboards, reporting and analytics. Automate the dashboard data lifecycle, including ingestion, transformation, testing, deployment, monitoring, refresh and issue remediation. Design and implement agentic workflows that coordinate data preparation, quality validation, metadata generation, dashboard updates and operational support. Build and maintain CI/CD pipelines using GitHub Actions. Design data models, ontologies, taxonomies and common data definitions. Implement data matching, entity resolution, deduplication and data cleansing solutions. Build automated data quality, validation, reconciliation and observability controls. Develop solutions for large and complex datasets using big data and distributed processing technologies. Support the productionisation and monitoring of machine learning and open-weight models. Develop production-grade solutions using Python and/or R. Establish engineering standards, mentor engineers and provide technical guidance. Ensure data solutions meet security, privacy, resilience and governance requirements. Essential Experience: Strong experience in data engineering and large-scale data platforms. Strong algorithmic optimisation capabilities Advanced Python and/or R programming skills, with strong SQL capability. Experience building production-grade analytical, batch or streaming pipelines. Experience preparing reusable datasets and semantic data layers for dashboards, reporting and analytics. Strong experience implementing CI/CD pipelines using GitHub Actions. Experience automating data and analytical product lifecycles, including testing, deployment, monitoring and release management. Experience designing or implementing agentic workflows, AI-driven automation or intelligent orchestration. Experience with big data and distributed processing technologies. Experience with data modelling, semantic modelling or data ontology. Experience with data matching, entity resolution, deduplication and data cleansing. Experience implementing data quality and data observability controls. Exposure to MLOps and the productionisation of analytical or machine learning models. Strong cloud platform, software engineering, automated testing and infrastructure-as-code experience. Demonstrated technical leadership and mentoring capability. Desirable Experience: Experience evaluating, fine-tuning, deploying or operating open-weight models. Exposure to retrieval-augmented generation, embeddings, vector databases or model-serving technologies. Experience applying AI agents to data engineering, analytics or dashboard operations. Exposure to cyber security controls and secure data engineering. Exposure to identity and access management, identity governance or identity-related datasets. Experience in regulated or risk-sensitive environments. If you're already part of the Commonwealth Bank Group (including Bankwest, x15ventures), you'll need to apply through Sidekick to submit a valid application. We’re keen to support you with the next step in your career. We're aware of some accessibility issues on this site, particularly for screen reader users. We want to make finding your dream job as easy as possible, so if you require additional support please contact HR Direct on 1800 989 696. Advertising End Date: 20/09/2026 • Tue, 08 Sep • Commonwealth Bank of Australia

Senior Data Engineer » Sydney, Sydney Region - Job Description Lendi Group is seeking an experienced Senior Data Engineer that will be part of a multi-disciplinary engineering team that will be designing, developing, and deploying AI systems that drive agentic AI Automation within the property buying and owning, mortgage broking and financial services sector. You will work at the intersection of AI, data, software engineering, and financial services, building cutting-edge solutions that enhance operational efficiency and customer experiences. You will be reporting to a newly formed team within Lendi Group that is focused on AI driven initiatives, working side-by-side with a high performing, knowledgeable and fun team. Key responsibilities Data Engineering Design, develop, maintain and support scalable data pipelines using modern data engineering practices and Agile delivery. Apply data analysis, data modelling, solution design and architecture principles to deliver new solutions and enhance existing pipelines and models. Develop, test and deploy cloud-based data warehouse solutions using technologies such as Snowflake, Databricks, S3 and PostgreSQL, with ETL tools including dbt, Airflow, Spark and Python. Utilise cloud infrastructure and CI/CD tooling (e.g. AWS, Terraform, Docker), with exposure to streaming data and AI/ML technologies (e.g. MLflow, SageMaker, Bedrock, LangChain) considered advantageous. Performance Optimisation Optimise data pipelines and BI solutions for performance, scalability and reliability while implementing best practices across design, testing, documentation and maintenance. Data Governance Ensure compliance with data governance standards and maintain high levels of data quality, accuracy and completeness. Documentation & Support Maintain comprehensive technical documentation, contribute to design guides and training materials, and provide ongoing support for issue and incident resolution. Collaboration Work closely with cross-functional Agile teams, data analysts, data scientists and business stakeholders to deliver high-quality data solutions aligned to business needs. Mentor other engineers, contribute to engineering standards, and provide input into solution design and technical direction. • Tue, 08 Sep • Lendi Group

Data Engineer » Sydney, Sydney Region - Who are we? We are the leading online platform for comparing and buying business insurance. Not to toot our own horn, but we’re shaking things up in the SME business insurance market! We’re all about making it easy and efficient for small businesses to get the perfect coverage they need to stay protected. Say goodbye to headaches and hello to hassle-free insurance! Role Purpose? The purpose of this role is to contribute to changing how BizCover operates using data to drive decisions and exceed our strategic growth objectives. We’re currently looking for two Data Engineers to join our team, with both roles based in Sydney. Responsibilities: Own end-to-end delivery of data pipelines, models, and tests Implement reusable patterns and model structures in MSSQL, dbt Cloud, and Snowflake Monitor data quality, lineage, and job health Collaborate cross-functionally to define scalable data solutions Requirements Ideally would have 4-6 years of experience. Technical experience with Snowflake, Fivetran, dbt Cloud, MSSQL Ability to model data using best practices Proficiency in writing tests, implementing observability, and improving reliability Strong documentation and technical communication skills Hands-on experience using AI-assisted development tools (e.g., SQL/dbt copilots, LLMs for documentation, testing, or refactoring) to improve productivity and code quality. Interest in learning and adopting emerging AI capabilities within the modern data stack. Benefits Hybrid working model with flexibility to work from home 2 days and the 3 days in the office Exciting and rewarding team culture Quarterly recognition awards Business Casual dress code Rewarding Employee Incentive Program Employee benefits package Growing company with progression opportunities We are an equal opportunity employer and we do not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, or any other protected status. We encourage applications from people of all backgrounds, identities, and perspectives. We are committed to creating a diverse and inclusive workplace where everyone can thrive and grow. • Mon, 07 Sep • BizCover

Staff Data Engineer » Australia - The Staff Data Engineer is the hands-on technical authority for the team's day-to-day data engineering delivery and operations. Reporting to the Principal Data Engineer, this role owns the d ay-to-day technical decisions, quality and reliability of data platforms and pipelines in-flight, and is the primary escalation point for the engineering team on technical and operational matters. The Staff Data Engineer is accountable for supporting the principal engineer with solution architecture and designs, translating these into consistent day-to-day execution, patterns and for continuously improving how the team runs data operations . The role works closely with local and offshore engineers, architects, security teams and platform teams to ensure data solutions are reliable, interoperable, and aligned with Latitude’s broader data and cloud strategy. The staff data engineer will provide technical guidance to engineers, resolve complex operational and delivery challenges, and contribute directly to solution design, development, testing, and implementation. In this role, you’ll : Lead technical delivery: Lead the end-to-end engineering delivery of data platforms, pipelines and data products, ensuring solutions meet agreed functional and non-functional requirements and comply with the LFS data engineering standards. Engineer scalable data solutions: Translate architectural direction established by the Principal Data Engineer and enterprise architecture teams into practical, scalable and secure solution designs using platforms such as Snowflake, Airflow, AWS and other agentic and data development frameworks. Remain hands-on: Contribute directly to solution development, code reviews, testing, troubleshooting, deployment and production support as part of a local and offshore engineering team. Drive engineering excellence: Own engineering standards in practice: Enforce and uphold the team's CI/CD, automated testing, code quality, observability and DevSecOps standards day to day through code reviews, definition-of-done gates and hands-on remediation, ensuring standards set by the Principal E ngineer are consistently applied across every delivery." Support platform interoperability: Build solutions that enable secure and seamless data movement, integration and collaboration across platforms, business domains and engineering teams. Guide engineering teams: Provide day-to-day technical direction: Act as the go-to technical decision-maker for local and offshore engineers on delivery and operational questions, allocating and unblocking work, reviewing designs and code, and coaching engineers through complex problems in-flight. Maintain operational reliability: Own operational reliability day to day: Act as the technical owner for the run-state of data pipelines and platforms — triaging incidents, leading root-cause analysis, meeting SLAs/SLOs, and driving the fixes, observability and automation that reduce recurring operational toil week to week. Embed governance and security: Work with data governance, cyber security and privacy teams to incorporate metadata management, data lineage, data quality, access controls and regulatory requirements into solutions by design. Support strategic initiatives: Partner with the Principal Data Engineer and other technical leaders to support strategic data and cloud transformation initiatives, including platform modernization and migration programs. Manage technical risks and dependencies: owning day-to-day delivery and operational risks and dependencies directly and escalating significant architectural or enterprise-standard-setting decisions to the Principal Data Engineer. Agentic development: Help shape what agentic development frameworks and harness kits that help teams accelerate consistency, quality and output in our development lifecycle, and importantly support the adoption across teams contributing to our data systems and platforms. What you’ll bring: You are familiar with AI tools - comfortable using tools to accelerate insights, automate routine work, prepare reporting, and tailor content quickly and effectively. (for individual contributor roles) AI-native - regularly leverages AI tools to enhance decision-making, automate reporting, accelerate content creation, and drive greater efficiency across your team (for people leader roles) · Bachelor’s degree in computer science or information technology or a related discipline. · 7 years of experience in data engineering, including experience leading the technical delivery of complex data solutions. · Strong hands-on experience with cloud data platforms and services - Snowflake and AWS . Demonstrated experience designing and building scalable data pipelines using modern technologies such as dbt, Airflow, Kafka, Spark · Strong programming and automation experience using technologies such as Python, SQL, Terraform and CloudFormation . Strong experience and practices with best practice AI assisted development, in particular leveraging harnesses, kits and agentic development frameworks. ​ Experience implementing CI/CD pipelines, automated testing, monitoring, observability and DevSecOps practices for data platforms. Experience applying Infrastructure as Code and automation-first principles to the development and operation of data platforms. Experience designing or contributing to self-service data platforms and reusable engineering frameworks. Strong understanding of data integration patterns, pipeline orchestration, and distributed data processing. Proven ability to build data solutions with strong performance, scalability, security, maintainability, and reliability characteristics. Understanding of data governance, metadata management, lineage, data quality, security, privacy and access-control principles. Experience leading technical delivery across local and offshore or distributed engineering teams. Experience coaching and mentoring junior and mid-level engineers. Inclusive of the ability to conduct design or code review and support other engineers in troubleshooting complex technical issues and helping them make pragmatic engineering choices. Strong stakeholder engagement, collaboration, and communication skills, with the ability to explain complex technical topics clearly. A continuous-improvement mindset and willingness to learn, experiment and challenge established technologies and practices constructively. Ability to balance hands-on delivery with technical operational leadership, team support, and longer-term platform objectives. Sometimes the best candidates don’t have 100% of what is listed above, but if you have most and are confident, you’d be a good fit, we’d love to hear from you! Sound like you? That's a good sign! In return for your energy and ideas, we offer a flexible working environment and great compensation. We always support a safe, healthy, engaging, and productive working environment for all employees and workers, whether that be in your home and office, or a combination of both. We make it possible – for our customers, our partners, and our people. We believe doing great work starts with feeling supported. Our values, take ownership , pursue excellence , win together , and create tomorrow , aren't just words. They show up in how we work, how we lead, and how we look after our team. We make it possible… to spend more time with your loved ones – with an extra week of paid leave each year through our Take 5 initiative. to balance work and life – with a hybrid working model, giving you the flexibility to work from home while connecting in the office. to put your wellbeing first – with Sonder , a 24/7 support app for mental and physical wellness. to access great financial benefits – with discounts on Latitude products and services. When our people thrive, everything else follows. Successful applicants will be required to complete a background check (including criminal history and bankruptcy check) prior to commencement of employment. • Sat, 05 Sep • Latitude

Lead Data Engineer » Melbourne CBD, Melbourne - Mandatory Skill Set: SQL Python PySpark Azure Synapse Role Overview We are seeking a highly experienced Lead Data Engineer to drive the strategy, architecture, delivery, and optimization of enterprise-scale data platforms on Microsoft Azure. The ideal candidate will combine deep technical expertise with strong leadership, stakeholder management, and delivery governance capabilities to build scalable, secure, and cost-efficient data solutions. Must-Have Skills Strong expertise in SQL, Python, and PySpark Extensive experience with Azure Data Factory (ADF) and Azure Synapse Analytics . Hands-on experience with Delta Lake architecture and modern data lakehouse implementations. Advanced knowledge of Data Modeling and Data Warehousing concepts. Strong exposure to the Microsoft Fabric ecosystem. Proven expertise in designing cloud-native data architectures and enterprise-scale solutions. Strong design thinking and problem-solving capabilities. Working knowledge of CI/CD pipelines and DevOps practices . Experience in cloud cost optimization, performance tuning, and resource governance . Key Responsibilities Lead and own the end-to-end delivery of enterprise data platforms , including architecture, development, deployment, and optimization. Define and drive the data platform roadmap , ensuring alignment with business objectives and strategic priorities. Architect and govern scalable data pipelines, data models, data warehouses, and lakehouse solutions using Azure services. Provide technical leadership to Data Engineering teams through design reviews, code reviews, and implementation of engineering best practices. Drive the adoption and implementation of Microsoft Fabric, APIs, Azure Functions, and Python-based solutions . Ensure platform scalability, reliability, security, and operational excellence while optimizing cloud costs. Establish and enforce data governance, data quality, security, and compliance standards . Implement and drive CI/CD, DevOps, and Agile delivery practices across the data engineering landscape. Collaborate with business stakeholders, architects, and technology teams to translate business requirements into scalable technical solutions. Mentor, coach, and develop Data Engineering talent, fostering a culture of continuous learning and innovation. Leverage GitHub Copilot and AI-assisted engineering tools to improve productivity and solution quality. Drive innovation by evaluating emerging technologies and identifying opportunities for platform modernization. Experience 10 years of overall IT experience, including 10 years in Data Engineering . Minimum 5 years of leadership experience managing large-scale Data Engineering programs and teams. Proven track record of leading cross-functional teams and delivering complex enterprise data transformation initiatives. Experience building, hiring, and scaling high-performing Data Engineering teams. Experience working within multi-vendor and globally distributed delivery environments . Strong experience in stakeholder management, delivery governance, and executive-level communication. Preferred Skills Experience building and managing enterprise APIs and Azure Function Apps . Exposure to framework-based data engineering development approaches . Experience in solution architecture, stakeholder engagement, and delivery governance . Azure certifications such as: Azure Data Engineer Associate Azure Solutions Architect Expert Familiarity with MLOps, Data Science, and AI-driven analytics solutions . Hands-on experience with Power BI and enterprise reporting platforms. Experience leveraging AI and Generative AI capabilities within Data Engineering ecosystems . Key Leadership Traits Strong ownership mindset with a focus on accountability and business outcomes. Excellent communication, stakeholder management, and influencing skills. Ability to balance technical leadership with delivery and people management responsibilities . Strategic thinker with a strong focus on execution excellence. Strong conflict resolution and cross-functional collaboration skills. Adaptability and resilience in fast-paced, evolving environments. Passion for mentoring teams and fostering a culture of innovation and continuous improvement. • Sat, 05 Sep • XPT Software Australia Pty Ltd

Data Engineer » North Sydney Area, North Shore - Company Description Nine is Australia’s largest locally owned media company. Working at Nine, you’ll have access to a unique range of experiences and opportunities, helping drive the success of the country’s most trusted television, radio, digital and publishing brands. Our content reaches almost every Australian - meaning what we do has real impact. We bring people together, celebrate the big moments, and capture the everyday ones. Some of our most beloved brands have been part of Australian life for generations, and others - new on the scene - have already found their place firmly in our lives. We’re evolving and we need people like you to bring new ideas, innovate and make your mark. Job Description We are seeking a technical Data Engineer to join Nine's QMS Integration Program. Reporting operationally to the Data Analyst (Lead), this dual-stream role sits across both People & Culture (Workday HCM) and Finance (Microsoft Dynamics 365). The core objective is to build, test, and execute automated technical data pipelines, ETL/ELT transformation scripts, BigQuery staging models, and automated file ingestion suites across all mock migration cycles, dress rehearsals, and final cutover weekend. Day to day you will: Build and define technical ETL/ELT pipeline architectures, automated file extraction routines, Google BigQuery staging tables, and automated crosswalk lookup structures for employee master and financial datasets. Analyse source and target system schemas (Workday EIBs, Chris21, D365, NetSuite COA, Basware, Salesforce) to build automated transformation scripts, error-logging routines, and reconciliation delta scripts. Execute automated extraction, translation, and conversion pipelines across Mock Migration 1, Mock Migration 2, and timed Dress Rehearsals to optimise query performance and lock in the cutover schedule. Maintain, patch, and optimise transformation SQL logic based on SIT/UAT defect feedback, and perform ad-hoc test environment data re-loads. Execute live cutover data pipelines for final NetSuite hard-close balances, P&C master data, AP/AR delta loads, and D365 opening journals while providing real-time technical monitoring. Qualifications What you’ll bring: Proven experience building automated ETL/ELT data pipelines, complex transformation scripts, and using BigQuery for staging tables, relational models, and complex SQL scripts. Hands-on proficiency with Git version control and data pipeline orchestration frameworks such as DBT. Technical familiarity with enterprise HR systems (Workday EIBs, Chris21) and Financial ERP systems (Dynamics 365, NetSuite COA, Salesforce, Basware). Demonstrated ability to write automated data cleansing routines, performance-tune SQL queries for high-volume datasets, and implement robust data privacy/security frameworks (e.g., column-level masking, encryption, RBAC for sensitive PII and financial data). Experience in an ASX-listed or large enterprise environment (Media industry experience or exposure to Workday HCM/D365 migration toolsets is highly advantageous). Additional Information How we work At Nine, our flexible work options vary by role and team. Depending on the position, this may include flexible hours, hybrid work, or part-time arrangements. We welcome discussing your flexibility needs during the hiring process - just ask the Talent Acquisition team. Our employee benefits include: 18 weeks paid parental leave with no distinction between primary and secondary carers Access to 'Employee Exclusives' program - a way of getting closer to our incredible brands, offering unique experiences, behind-the-scenes access, and awesome perks. Digital newspaper subscription to our mastheads Annual gift voucher for Stan subscription More info at Nine Careers Our Commitment to Diversity and Inclusion We're committed to a safe, respectful and inclusive Nine. From day one, you'll be encouraged to bring your whole self to work and will be supported to perform at your best. We encourage applications from Aboriginal and Torres Strait Islander people, people with disabilities, and of all ages, genders, nationalities, backgrounds and cultures as we recognise the importance and value of diverse perspectives. Should you require any adjustments to the recruitment process, please advise us when you apply. Work rights: Please note to apply for this role you must already have the right to lawfully work and live in Australia. • Fri, 04 Sep • Nine Entertainment

Data Engineer » Sydney, Sydney Region - 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. • Thu, 03 Sep • Australian Payments Plus

Data Engineer » Bentley, Canning Area - Data Engineer Location: Bentley, WA Work Type: Full Time | Permanent Build the Data Foundations Powering WA's Energy Future Data is at the heart of every decision we make. As a Data Engineer at Horizon Power, you'll help shape the future of how data is leveraged across the organisation. Working within our Digital & Data Transformation team, you'll build the trusted data foundations that enable reporting, analytics, operational insights and emerging AI capabilities that support regional communities across Western Australia. This is an opportunity to work on meaningful challenges, connecting data from multiple systems and transforming it into scalable, reliable solutions that drive real business outcomes. You'll partner with stakeholders across the business, collaborate with BI Analysts and fellow engineers, and play a key role in evolving Horizon Power's modern data ecosystem. Why Join Us? This is more than a technical role. You'll join a collaborative, close-knit team where you'll have the autonomy to make decisions, contribute ideas and engage directly with stakeholders across the business. You'll work with modern technologies, help influence our Data and AI journey, and contribute to projects that have a genuine impact on Western Australia's energy future. We're looking for someone who's naturally curious, enjoys solving complex problems and stays ahead of emerging technology trends. In return, you'll be trusted to own outcomes, drive improvements and make your mark. What You’ll Do: Designing and delivering data solutions that create trusted, business-ready information. Building and enhancing data pipelines that support reporting, analytics and AI initiatives. Partnering with stakeholders across the business to understand challenges and deliver practical solutions. Contributing to the ongoing evolution of Horizon Power's data platforms and capabilities. Working across both project delivery and operational support in a dynamic, fast-paced environment. Driving continuous improvement through innovation, automation and best-practice engineering approaches. What You’ll Bring: Proven experience delivering data engineering solutions and building scalable data pipelines. Strong skills in SQL, Python and modern cloud-based data platforms. Experience working with technologies such as Snowflake, Power BI and contemporary data architectures. Experience designing and supporting real-time and event-driven data integration solutions using data streaming platforms such as Confluent Kafka. Hands-on experience with data ingestion and change data capture (CDC) technologies, including tools such as BryteFlow, Upsolver or similar modern data integration platforms. Knowledge of batch and streaming data patterns, data synchronisation, and integrating enterprise systems into cloud-based analytical platforms. Exceptional stakeholder engagement and communication skills, with the ability to translate business needs into practical solutions. A proactive, solutions-focused mindset with strong analytical and problem-solving capability. The ability to manage multiple priorities, remain calm under pressure and deliver quality outcomes in a fast-paced environment. Ready to Power WA's Future? If you're excited by the opportunity to build scalable data solutions, influence enterprise data capability and contribute to the energy transition across regional Western Australia, we'd love to hear from you. Applications close: 14/09/2026 Please note: In some cases, we may close advertising earlier than the closing date, so don’t miss your chance! Position Description - Data Engineer.pdf Our workplace culture is created through every interaction, every experience and everything we do. Across our organisation, we recognise and reward people and offer work that works with you. We're committed to equality and celebrate the diversity of race, gender, sexual orientation, religion, ethnicity, and all characteristics that make our Horizon Power team so special. We strongly encourage applications from Aboriginal and Torres Strait Islander people. We are dedicated to ensuring that all candidates have equal opportunity and, if you require any adjustments during the recruitment process, please let us know - we’re here to support you. If you want more amazing reasons of why Horizon Power should be your employer of choice, check our careers page to find out more. https://www.horizonpower.com.au/about-us/careers/ • Thu, 03 Sep • Horizon Power

Data Engineer » Australia - Central Adelaide Local Health Network (CALHN) - DATA ENGINEER Roma Mitchell Centre, Adelaide SA 5000 Salary ASO7 $116,089 - $125,490 p.a. super salary packaging Full-time temporary up to 15/10/27 About CALHN At Central Adelaide Local Health Network (CALHN), we’re shaping the future of health through excellence in clinical care, research and innovation. As the largest health network in South Australia, CALHN plays a leading role in improving the health and wellbeing of our community by delivering safe, connected and high-quality healthcare. With more than 17,000 dedicated employees, every day at CALHN presents an opportunity to make a real impact—not because it’s expected, but because our values guide us to be our best. At CALHN, every voice matters. We prioritise the safety of our staff and patients, and staying connected across teams to deliver a seamless patient journey through our Safe and Connected Operating Model . Find out more about CALHN sites and services , our stories and the opportunities to be part of CALHN . About the Role Join CALHN as a Data Engineer and help shape the future of data-driven healthcare. You’ll design, build and deliver modern data platforms that support key priorities across digital health, analytics and artificial intelligence. Working with clinicians, business managers, data analysts and data scientists, you’ll build and optimise data pipelines, integrate complex healthcare data from EMR systems, clinical registries and external providers, and transform information into trusted, high-quality datasets. You’ll bring specialist expertise to create scalable, sustainable data solutions that improve access to meaningful insights, strengthen clinical and operational decision-making, and support innovative healthcare initiatives. This is an exciting opportunity to use your technical expertise where it matters most, helping turn complex health data into smarter decisions and better outcomes for patients across CALHN. To be successful in this role you will: • Design, build, test and deploy modern data platforms and pipelines • Integrate and transform complex data from multiple healthcare sources • Optimise data pipelines for fast, reliable access to trusted information • Create scalable solutions that support analytics, AI and clinical insights • Provide expert advice on data architecture, modelling and integration • Partner with clinical, business, analytics and digital teams • Drive innovative approaches to data access, integration and reuse • Maintain high standards of data quality, accuracy and performance • Build strong relationships with key stakeholders and technology partners • Deliver quality solutions in a complex, fast-paced digital environment About You You’re a skilled data professional who can turn complex information into practical, reliable solutions. You’ll bring strong technical expertise, sound judgement and a collaborative approach, with the ability to communicate confidently across technical and non-technical teams. • Hold a relevant degree or equivalent experience and certifications • Bring strong data integration, warehousing and modelling experience • Apply Snowflake, Denodo, Databricks and Azure Data Factory expertise • Understand FHIR, HL7, data architecture and BI technologies • Communicate complex concepts clearly and build trusted partnerships Why You’ll Love It Here - CALHN benefits that matter A great career is more than the work you do. At CALHN, you’ll have the benefits, flexibility and support to help you thrive at work and beyond. Make your money go further – salary packaging up to $9,010 for living expenses $2,650 for meals and entertainment pre-tax super and novated lease options Grow your career – build your skills and explore opportunities across CALHN Balance work and life – access flexible work options where available Support your wellbeing – enjoy leave loading, fitness discounts and flu vaccinations Feel supported – confidential Employee Assistance Program for you and your family Diversity and Inclusion We’re committed to building an inclusive workplace where everyone feels safe, respected, and supported. We strongly encourage applications from Aboriginal and Torres Strait Islander peoples, people with disabilities, culturally diverse backgrounds, and LGBTQIA communities. Application Information Please refer to the role description for essential educational/vocational qualifications that may be required 948883 - RD for DATA ENGINEER .pdf Appointment will be subject to satisfactory Criminal History Clearances and compliant immunisation screening as indicated in the role description. Curious about this role? Connect with Jitesh Jain, Enterprise Digital Architect. P: 0421446982 E: [email protected] Apply Now Applications close: 11:55 pm, Wednesday 16 th of September 2026. Job Ref: 948883 Go to the SA Health Career Website for how to apply , and Australian and International applicant guidelines for more information Recruitment agencies and third parties need not apply – we’ve got this covered. • Thu, 03 Sep • SA Health

Data Engineer - Databricks » Melbourne, Melbourne Region - Join a global brand on an exciting data transformation journey. This is a hands-on opportunity for a Data Engineer who enjoys solving problems, learning new technologies, and contributing to a positive, collaborative team environment. What You'll Be Doing Develop and maintain cloud-based data pipelines and workflows. Support the adoption and growth of Databricks within the data platform. Work across existing and greenfield environments to deliver scalable data solutions. Collaborate closely with analysts, engineers, and stakeholders to drive business outcomes. What We're Looking For Around 4-6 years' experience in Data Engineering. Exposure to Databricks, or a strong desire to build your capability in the platform. Experience with AWS, Azure, or GCP (AWS preferred). Strong SQL and Python skills, with experience building ETL/ELT pipelines. Familiarity with Spark, data warehousing, lakehouse architectures, and modern data platforms. Experience with Git, CI/CD, APIs, and data integrations. Most Importantly We're looking for someone who: Is a genuine team player and positive contributor. Brings a pragmatic, solutions-focused mindset. Enjoys collaborating, sharing knowledge, and supporting others. Communicates well and builds strong relationships across the business. Is adaptable, curious, and eager to learn. What's on Offer 6-month contract with extension potential. Hybrid working arrangements. Exposure to modern data technologies, including Databricks. A collaborative culture where you'll have the opportunity to learn, contribute, and make an impact. Click APPLY or contact Angela Tan Jenkin at [email protected] . We are committed to fostering diverse and inclusive workplaces and welcome applications from people of all backgrounds, experiences, and identities. • Mon, 31 Aug • Profusion PAC Pty Ltd

Data Engineer » Canberra Region, Australian Capital Territory - Data Engineer - Major ICT MSP & PSP Permanent position - $140,000 to $160,000 dependent on skills Canberra based position Active NV1 or NV2 required - applicants without this cannot be considered Kinexus is a specialist defence and national security recruitment agency with over 25 years of working and specialising in the industry. We have partnered with a major ICT managed and professional services business in hiring for a Data Engineer to manage and uplift a defence environment containing different identity management and directory systems. We're looking for a mid to senior level Data Engineer or ETL Developer to support the enhancement and maintenance of ETL pipelines and identity management systems which underpin critical defence services and business operations. In this role you will: Monitor and support identity management, ETL, workflow, and directory synchronisation services, ensuring availability, performance, and operational health Investigate and resolve incidents, root-cause data/workflow failures, and support incident, problem, and change management processes Manage identity lifecycle activities (provisioning, modification, deprovisioning) and maintain directory synchronisation across Active Directory, LDAP, and related platforms Develop and maintain ETL and workflow integration solutions, troubleshooting data processing and synchronisation issues affecting downstream systems Support service continuity and change/release activities, including documentation, runbooks, and operational reporting Drive continuous improvement, identifying reliability and efficiency gains, and contributing to platform modernisation and technical debt reduction Provide technical expertise to engineering and project teams on legacy remediation, upgrades, and architecture initiatives What's needed from you: You must hold an active or reinstatable NV1 or NV2 security clearance Strong background in enterprise identity management and integration, including identity lifecycle management, provisioning, directory synchronisation, and Active Directory/LDAP technologies Proven ETL, workflow automation, and integration platform experience, with strong SQL/database troubleshooting skills and knowledge of system integration patterns and service-oriented architectures Skilled in scripting and automation (PowerShell, VBScript, Java-based workflow logic or similar), with experience supporting production services and resolving complex integration/synchronisation issues in operational environments Desirable: experience with IAM platforms (e.g., Identity Bridge), regulated or multi-domain environments, Windows/SQL Server and certificate management, legacy modernisation, and ITIL-aligned incident/problem/change management Sound interesting? Want to find out more? Apply with your most up-to-date CV and we will be in touch with all relevant applicants. All applications should include your resume as a word document. For more information, visit our website, www.kinexus.com.au or contact Will Wells on 02 9492 7521. LI-WW1 SCR-will-wells • Fri, 28 Aug • Kinexus

Senior Data Engineer » Canberra Region, Australian Capital Territory - Senior Data Engineer (NV1 Clearance) Canberra, ACT | Full Time Join a global Defence technology organisation delivering mission-critical solutions that help military and government organisations make better decisions through data. We're looking for a Senior Data Engineer to help transform complex operational data into actionable insights. You'll work directly with Defence customers, integrate multiple systems and technologies, and play a key role in delivering data-driven outcomes across a diverse portfolio of projects. Why Join Us? Work on meaningful Defence and national security projects Collaborate with local and international engineering teams Engage directly with customers and influence technical outcomes Work with cloud, integration, analytics and AI technologies Contribute to innovative Defence software solutions Join a company that values its people and supports professional growth Canberra-based permanent opportunity About the Role As a Senior Data Engineer, you'll bridge the gap between operational systems, data platforms and end users. You'll design and deliver integration solutions that ensure critical information is accurate, accessible and useful for decision-making. You will work closely with Defence stakeholders, software engineers and project teams to integrate data across multiple systems, automate workflows and deliver analytics capabilities. Key Responsibilities Design and manage data integration solutions across multiple systems Build and maintain data pipelines, workflows and automated processes Integrate data from operational, analytical and business systems Transform and structure data for reporting, dashboards and analytics Develop integrations using APIs and industry-standard data formats Configure and connect software platforms to exchange information effectively Integrate AI and machine learning services into data workflows Support Defence customers by translating operational needs into technical solutions Collaborate with development teams to deliver new capabilities and product improvements Mentor engineers and contribute technical leadership across projects Stay current with emerging technologies and industry best practices Technologies You'll Work With Apache NiFi Node-RED AWS Microsoft Azure APIs and Web Services JSON XML AI and Machine Learning Services Data Analytics and Visualisation Platforms About You You'll likely come from a background in: Data Engineering Data Integration Systems Integration Analytics Engineering Technical Consulting Information Systems Engineering You will also bring: Experience integrating data across multiple systems and platforms Strong knowledge of APIs, data flows and integration patterns Experience with cloud technologies such as AWS or Azure Understanding of data transformation, analytics and reporting Excellent communication and stakeholder engagement skills Ability to operate independently while contributing to broader project objectives Experience mentoring or providing technical guidance to team members Essential Requirements Bachelor's degree in Computer Science, Information Technology, Data Science or a related discipline Australian Citizenship Current NV1 Security Clearance, or the ability to obtain and maintain an NV1 clearance Apply Now If you're passionate about data integration, Defence technology and solving complex problems that make a real-world impact, we'd love to hear from you. • Fri, 28 Aug • Cleared ICT

Senior Data Engineer » Canberra Region, Australian Capital Territory - Senior Data Engineer (NV1 Clearance) Canberra, ACT | Full Time Join a global Defence technology organisation delivering mission-critical solutions that help military and government organisations make better decisions through data. We're looking for a Senior Data Engineer to help transform complex operational data into actionable insights. You'll work directly with Defence customers, integrate multiple systems and technologies, and play a key role in delivering data-driven outcomes across a diverse portfolio of projects. Why Join Us? Work on meaningful Defence and national security projects Collaborate with local and international engineering teams Engage directly with customers and influence technical outcomes Work with cloud, integration, analytics and AI technologies Contribute to innovative Defence software solutions Join a company that values its people and supports professional growth Canberra-based permanent opportunity About the Role As a Senior Data Engineer, you'll bridge the gap between operational systems, data platforms and end users. You'll design and deliver integration solutions that ensure critical information is accurate, accessible and useful for decision-making. You will work closely with Defence stakeholders, software engineers and project teams to integrate data across multiple systems, automate workflows and deliver analytics capabilities. Key Responsibilities Design and manage data integration solutions across multiple systems Build and maintain data pipelines, workflows and automated processes Integrate data from operational, analytical and business systems Transform and structure data for reporting, dashboards and analytics Develop integrations using APIs and industry-standard data formats Configure and connect software platforms to exchange information effectively Integrate AI and machine learning services into data workflows Support Defence customers by translating operational needs into technical solutions Collaborate with development teams to deliver new capabilities and product improvements Mentor engineers and contribute technical leadership across projects Stay current with emerging technologies and industry best practices Technologies You'll Work With Apache NiFi Node-RED AWS Microsoft Azure APIs and Web Services JSON XML AI and Machine Learning Services Data Analytics and Visualisation Platforms About You You'll likely come from a background in: Data Engineering Data Integration Systems Integration Analytics Engineering Technical Consulting Information Systems Engineering You will also bring: Experience integrating data across multiple systems and platforms Strong knowledge of APIs, data flows and integration patterns Experience with cloud technologies such as AWS or Azure Understanding of data transformation, analytics and reporting Excellent communication and stakeholder engagement skills Ability to operate independently while contributing to broader project objectives Experience mentoring or providing technical guidance to team members Essential Requirements Bachelor's degree in Computer Science, Information Technology, Data Science or a related discipline Australian Citizenship Current NV1 Security Clearance, or the ability to obtain and maintain an NV1 clearance Apply Now If you're passionate about data integration, Defence technology and solving complex problems that make a real-world impact, we'd love to hear from you. Diversity and Inclusion We value diversity and are committed to creating an inclusive environment for all employees. Veterans Defence and Federal Government industry experience is highly desirable We strong encourage veterans and individuals with Defence experience to apply. Your unique skills and background are highly valued, and we are committed to supporting your transition into this role. About Cleared At Cleared, we provide tailored recruitment solutions to individuals seeking their next opportunity and to organisations searching for talent within Defence Industry, Intelligence and National Security. • Fri, 28 Aug • Cleared ICT

Data Engineer » Australia - 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 in Australia, New Zealand, Spain, Italy, South Africa, Chile and the United States, and sharing them in almost every corner of the world, we are relentlessly innovative, ambitious and imaginative at every stage from grape to glass. About the role We're looking for a Data Engineer to join our Global IT team based in Melbourne. Reporting to the Analytics Platform Manager, you'll play an important role in building and supporting the data solutions that power business intelligence and analytics across Vinarchy. Working closely with business stakeholders, IT teams and senior data professionals, you'll help design, develop and maintain reliable data pipelines, support reporting and analytics capabilities, and contribute to a data-driven culture across the business. This is an exciting opportunity to work with modern cloud-based technologies while helping a newly formed global organisation unlock the value of its data. Key Responsibilities Include: Develop, maintain and enhance ETL processes across multiple data sour Support the design and optimisation of data models for reporting and analytics. Collaborate with business users and IT teams to understand data requirements and priorities. Build and support scalable, reliable data pipelines that enable business intelligence solutions. Ensure data quality, integrity, governance and security standards are maintained. Monitor data environments, troubleshoot issues and support operational problem resolution. Identify opportunities to automate processes and improve efficiency. Contribute to documentation, standards and best practice development. What You’ll Bring: Experience working in a Data Engineering, BI or Analytics-focused role. Strong SQL skills and practical ETL development experience. Understanding of data warehousing concepts and data modelling approaches. Exposure to platforms and tools such as Microsoft Fabric, Power BI or similar analytics technologies. Experience or familiarity with cloud platforms including Azure, AWS or GCP. Knowledge of data governance and security principles. Strong analytical thinking and problem-solving capability. Excellent communication skills and the ability to collaborate across technical and business teams. Why Join Us? Vinarchy is a home for passionate people to do their very best work. We believe in empowering our people, celebrating success, and creating an environment where innovation can thrive. You will also have access to: Annual wine allowance and access to unique wine specials Flexible working (Up to 2 days working from home) Paid Parental Leave Start your weekend early with our Fast Friday finishes! Modern office located in Melbourne Go Beyond Day - make a difference in your local community Access to an extensive online learning library Private Health Insurance Discounts & Annual Flu Vaccination Program Employee Assistance Program & Various exclusive employee discounts Want to know more about us? Check out this short video! https://www.youtube.com/watch?v=LF-ez1cx3Vo Our Company Values Grow Together Integrity In Every Drop Own Our Impact Simplify To Amplify Ready to redefine your future? APPLY TODAY! 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. LI-Hybrid • Thu, 27 Aug • Vinarchy

Data Engineer | Sydney » Sydney, Sydney Region - As a Data Engineer, you’ll play a key role in designing and building scalable, reliable data platforms that enable better decision-making, analytics and AI outcomes. This is a great opportunity to work closely with data, platform and engineering teams to deliver modern cloud-based solutions across a variety of client environments. Responsibilities May Include Designing and developing scalable data pipelines Building and optimising data platforms, lakes and warehouses Transforming and modelling large datasets for analytics and AI use cases Improving reliability, security and performance across data ecosystems Collaborating with analysts, ML engineers and cloud platform teams Supporting automation, CI/CD and infrastructure-as-code practices Technologies You May Work With Python, SQL, Spark, Airflow Databricks, Snowflake, BigQuery, Neo4j dbt, Terraform, Fivetran AWS, Azure and Google Cloud Platform Submit your resume for an immediate review. • Tue, 25 Aug • TalentReady

Data Engineer » Adelaide CBD, Adelaide - Based in the Business Intelligence team at the City West campus Full-time 24 month fixed term contract Salary Range: $103,719 - $116,002 per annum (plus 17% superannuation) Ensure the integrity, accessibility, and quality of data assets At Adelaide University, we create the opportunities you need to achieve your ambitions – because when you thrive, we thrive. We are transforming education for contemporary learners and global citizens. Building on a proud legacy and shaped by bold ambition, it’s a place of excellence and equity, where our vibrant community of staff are united by our purpose to inspire Australia’s future change-makers and create a better tomorrow. Work that matters Enable data-driven decision-making by designing, developing, and maintaining robust data pipelines, models, and solutions that support the Adelaide University’s strategic and operational objectives. The role ensures the integrity, accessibility, and quality of data assets to empower business intelligence and analytics across the institution. Curious to learn more? Explore the full role description below to discover more about this opportunity. The team This role forms part of Business Intelligence team within the Performance, Data and Insights Function and is aligned to the Corporate Portfolio within the University. The Data Engineer will work most closely with the Chief Data and Analytics Officer, Director, Business Intelligence, and the IT and Finance teams. Visit the AU website to learn more about the Corporate Portfolio . Our people Our people are guided by purpose, curiosity and a commitment to lifelong learning. We embrace authenticity, innovation and collaboration, and harness diverse thinking in our pursuit of excellence. Learn more about our people, what we stand for and what we offer at Careers at AU . Experience To join our community and thrive in this role, you will likely have the following skills and experience: Experience in data manipulation, preparation, and integration Experience in designing, developing, and supporting data pipelines, models, and processes Proficiency in data management and business intelligence concepts and practices Experience with data manipulation tools and/or programming languages such as Power Query, Alteryx, SQL, and R Experience in stakeholder engagement, expectations, and relationship management Advanced Microsoft Office skills Our commitment to inclusion and diversity We are committed to fostering a culture of inclusion where diversity is celebrated and everyone feels respected and valued. Adelaide University is an equal opportunity employer, committed to creating a safe, inclusive, and equitable workplace where everyone can thrive. We strongly encourage applications from Aboriginal and Torres Strait Islander peoples, people with disability, and people of all ages, genders, cultural backgrounds, sexual orientations, and gender identities. We are committed to supporting flexible working arrangements and providing reasonable adjustments throughout the recruitment process. Launch your future with Adelaide University now Simply click on the Apply Now button and upload: your current CV a cover letter The online application form will list the specific selection criteria that you need to address. Submit your application by 11:30pm Sunday 13 September 2026 For further information about this opportunity, please contact (quoting reference number 493457): Alexandra Koszegi Team Lead, Talent Acquisition 61 8 8302 1700 | [email protected] Applications welcomed from Australian or NZ citizens, Australian permanent residents and those who have the legal right to work in Australia for the term of appointment. • Tue, 25 Aug • The University of Adelaide

Senior Data Engineer » Sydney, Sydney Region - We're partnering with a leading enterprise organisation seeking a Senior Data Engineer to join a growing analytics function and help enhance the performance, accessibility and usability of data across the business. This role will focus on building and optimising a high-performing analytics layer within an existing cloud-based data environment. You'll work closely with engineers, analysts and business stakeholders to create scalable, intuitive and consumption-ready datasets that support reporting, dashboarding and business insights. The successful candidate will combine strong technical engineering capability with the ability to understand stakeholder requirements and translate them into practical data solutions. Key Responsibilities • Design, develop and optimise data pipelines within a GCP environment • Build and maintain analytics-ready datasets and data models • Improve data performance, quality and accessibility across the platform • Partner with analysts and business stakeholders to understand reporting requirements • Develop scalable solutions that support dashboarding and self-service analytics • Contribute to best practices across data engineering and platform development • Support knowledge transfer and handover activities where required Required Experience • Strong commercial experience as a Data Engineer • Advanced SQL skills with extensive BigQuery experience • Hands-on experience with Apache Airflow • Experience working within Google Cloud Platform (GCP) • Strong understanding of data warehousing and data modelling principles • Experience supporting analytics, reporting and dashboarding environments • Strong communication and stakeholder engagement skills Desirable Experience • Google Cloud Composer or managed Airflow services • PostgreSQL • Analytics Engineering experience • Exposure to enterprise-scale data environments If you're an experienced Data Engineer with strong BigQuery and Airflow expertise and enjoy building scalable data solutions that deliver meaningful business outcomes, we'd love to hear from you. • Mon, 24 Aug • Launch Recruitment

Senior Data Engineer » Canberra Region, Australian Capital Territory - Senior Data Engineer Location: Canberra Contract Length: 10 months 12 month extension Responsibilities: • Design and build ETL/ELT pipelines in Azure Data Factory and create/manage linked services, datasets, and integration runtimes • Write and optimize complex T-SQL (stored procedures, functions, views) and performance tuning, query optimization, execution plans, indexing strategy • Work across Azure services: Data Lake Storage (ADLS Gen2), Blob Storage, Azure SQL, Synapse, Key Vault, Azure Functions, Logic Apps • Monitor pipeline runs, set up alerts (Azure Monitor, Log Analytics) and troubleshoot failures and analyse logs, metrics, and monitoring dashboards to detect anomalies and failures early • Collaborate with data architects, data modellers, analysts, and business stakeholders to understand data requirements and translate them into technical solutions • Following the Scaled Agile Framework (SAFe) methodology for software development and contributing to Agile ceremonies Requirements: Demonstrated experience designing, developing, and orchestrating scalable ETL/ELT pipelines using Azure Data Factory — including parameterized, metadata-driven pipelines, integration runtimes, incremental loads, and robust error handling to move and transform data from diverse sources Advanced ability to write, optimize, and troubleshoot complex T-SQL (stored procedures, functions, views), design dimensional data models (star/snowflake schemas), and perform performance tuning through indexing and query optimization Practical experience ingesting and exchanging data via REST/SOAP APIs handling authentication (OAuth2, tokens, managed identities), pagination, rate limiting, and parsing JSON/XML responses into structured, analytics-ready datasets Exceptional communication and documentation abilities, with a proven track record of collaborating across technical and business teams Solid understanding of the wider Azure ecosystem (ADLS Gen2, Azure SQL, Key Vault, Azure Functions, Synapse) combined with strong analytical and troubleshooting skills to monitor pipelines, diagnose failures, and apply security best practices About Araza: Our organisation works with Australia’s largest enterprise and government clients providing project and program teams and resources to ensure success. We pride ourselves on being a trusted technology partner and working collaboratively. We're partnering with a leading Australian department to deliver high-quality projects that drive impactful results, focused on protecting national interests through intelligence, cybersecurity, and strategic operations to combat global threats. We can talk about Araza all day but instead, here are a few links if you are interested. www.araza.com.au https://www.linkedin.com/company/3613383/ Why Araza? We are GREAT. Our purpose is to have our teams align with our client’s needs to assist them on their most interesting and innovative projects. We do this by aligning our clients and teams to our core values of Be Great and Be Grateful . This focus has helped make us an employer of choice and the consultancy of choice in the Australian market. We are DIVERSE and INCLUSIVE. We are recognised leader in diversity with an excellent representation of women in leadership and a team with differing backgrounds, ethnicities, experiences and abilities. We care. Araza is a company that cares for their people. It's that simple. You will work with truly talented switched on and collaborative team members that help each other to succeed. We rock. HumbleBrag is that a lot of other companies think we are great as well! Our awards list: 2023 CRN Impact Award – Emerging Innovation Winner 2020 Financial Review Fast 100 2020 Financial Times High-Growth Companies Asia-Pacific 2019 Deloitte Technology Fast50 Australia 2019 Deloitte Technology Fast500 APAC 2019 CRN Fast50 2019 ARN Homegrown Service Provider Winner 2019 EY Winning Women Program Winner 2019 Cisco Diversity Initiative Award Winner 2019 Cisco Rising Star Winner 2019 30 Under 30 Tech Awards Winner 2018 CRN Fast50 2018 Deloitte Technology Fast50 Australia 2018 Deloitte Technology Fast500 APAC 2018 CRN Fast50 2018 ARN Start Up Entrepreneur Winner 2018 ARN Personal Innovation Sales Excellence Winner 2018 Westpac Business of Tomorrow Winner 2018 Financial Times 1000: High-Growth Companies Asia-Pacific 2017 Deloitte Technology Fast50 Australia 2017 Deloitte Technology Fast1000 Asia/Pacific 2017 CRN Fast50 2017 ARN WIICTA Entrepreneur of the Year Winner 2017 Westpac Business of Tomorrow Winner 2017 Optus myBusiness Business Leader of the Year Winner 2016 Deloitte Rising Star 2016 CRN Fast50 Next Steps If this sounds like the opportunity you are looking for, apply now! Our team would love to hear from you • Mon, 24 Aug • Araza

Senior Data Engineer » Brisbane CBD, Brisbane - Who We Are Entain is fearlessly transforming the global racing, sports and wagering industry, creating unforgettable customer experiences and pushing beyond traditional boundaries. Part of a FTSE 50 company with nearly 30,000 employees across 30 countries including Europe, the USA, Australia and New Zealand, Entain ANZ powers leading brands like TAB, Trackside and Ladbrokes. At Entain, our customers are at the heart of everything we do, and Finance underpins the commercial decisions that drive performance, sustainable growth, and world-class customer experiences. Your Impact As a Senior Data Engineer within the Data Engineering team, you’ll be responsible for contributing to the ongoing operation, development, and strategic improvement of Entain’s corporate data warehouse. You’ll take ownership of complex development initiatives, provide technical guidance on data engineering solutions, and help shape standards across performance, reliability, quality, and maintainability. You’ll work closely with stakeholders to understand business priorities, challenge assumptions where appropriate, and deliver scalable solutions that support the organisation’s evolving data needs. You’ll be comfortable operating with a high degree of autonomy, managing competing priorities, and using your expertise to improve both the platform and the way the team delivers. A Day in the Life Own and optimise the Snowflake data warehouse, ensuring strong performance, scalability, cost efficiency, and reliability. Partner with stakeholders to understand business needs and deliver practical data solutions. Design, develop, and maintain ETL/ELT pipelines across a variety of data sources. Contribute to code reviews, documentation, and continuous improvement initiatives. Use modern engineering tools and AI-enabled practices to enhance the way we build and support data solutions. Support testing frameworks, version control, and collaborative development practices. Your Strengths Strong SQL- you can write and optimize stored procedures and functions confidently. Solid experience with Snowflake or a comparable cloud data warehouse. Data warehousing and dimensional modelling fundamentals (Kimball or similar). Experience building ETL/ELT pipelines, ideally with a tool like Matillion. Comfortable working with structured and semi-structured data (JSON, XML). Life at Entain At Entain, it’s more than a job - it’s a place to grow, connect, and make an impact. We value individuality, celebrate collaboration, and create space for bold ideas that move people. Here, you’ll help shape the voice of some of Australia and New Zealand’s most recognised brands - while developing your own craft in a supportive, ambitious team. Perks You’ll Love Hybrid & Flexible: Balance your life and work. Recognition & Rewards: Celebrate wins and enjoy retailer discounts. Wellbeing Perks: Support for your health and happiness. Workday Extras: Free breakfast, snacks, and onsite barista. Office Vibes: Pool table, live sports, and fun social activities. There’s nothing like it. For more information, please reach out to us at [email protected] or hit apply now. Due to the wagering aspect of our industry, applicants must be a minimum of 18 years to apply. • Mon, 24 Aug • Entain

Lead Data Engineer » Canberra Region, Australian Capital Territory - This is a large, environment-focused line agency covering a diverse range of policy areas, with data and reporting needs spanning many parts of the organisation. The Opportunity This opportunity is for multiple Data Engineers to help scale the agency's move to Microsoft Fabric and Databricks. Fabric has already been proven in a handful of business areas, well beyond a simple proof of concept, and the agency is now looking to build a common data ecosystem the rest of the organisation can use for reporting, analytics and AI/ML. You'll likely be working across multiple deployments and rollouts as the enterprise capability scales, with roles open across both the Fabric and Databricks streams. Play a lead role in scaling a Microsoft Fabric pilot, already proven in select business areas, into a genuine enterprise-wide data platform capability Real influence over the architecture, engineering patterns and governance standards that other business areas will adopt as the platform scales, rather than maintaining a platform someone else has already finished building Multiple positions on offer on a long-term contract (12 months plus two further 12-month extension options), across both the Fabric and Databricks streams The Role Within this role you’ll be: Designing and building enterprise-scale data pipelines and lakehouse architecture on Microsoft Fabric and/or Databricks, using Delta Lake and Medallion design patterns Developing data ingestion and transformation processes for structured, semi-structured and unstructured data, using PySpark, Spark SQL, Python and Fabric's native engineering tools Establishing reusable data engineering patterns, quality checks, lineage and monitoring that other business areas can adopt as the platform moves beyond pilot stage Implementing CI/CD, Infrastructure as Code and automated testing across data engineering solutions, using Git and Azure DevOps Working directly with stakeholders across multiple business areas to translate differing reporting, analytics and AI/ML requirements into governed, sustainable data solutions The Ideal Person You're a senior or lead data engineer with hands on experience with Microsoft Fabric and/or Databricks, and exposure to lakehouse and warehouse architectures. You're comfortable working with Azure DevOps and CI/CD, understand data governance, privacy and security requirements, and can independently design, build, deploy and support enterprise-scale data solutions while working closely with stakeholders. You've designed, developed, implemented and supported enterprise-scale data engineering solutions using Databricks and/or Microsoft Fabric. That work has spanned data pipeline development, lakehouse and data warehouse architectures, data integration, transformation and modelling, DevOps and CI/CD practices, and data governance and security controls. Throughout, you've delivered data capabilities that support analytics, reporting, artificial intelligence and machine learning outcomes. Due to the nature of the work Australian Citizenship and existing Baseline security clearance is mandatory Salary This role is being offered as an EL1 equivalent full-time labour hire contract for an initial 12 months, with the potential for two further 12-month extensions There is no set rate for this RFQ. However the value for you coming through myself for this opportunity is that I have extensive experience recruiting into this market, I work with each candidate individually to land on a rate that's competitive Office presence 3 days per week (Canberra), with flexibility to work from home up to 2 days per week How to Apply To apply online, please click on the appropriate link. For a confidential discussion about the role, please contact Lucas Walker on 0483 911 561 quoting ref no. 21812 . HorizonOne is committed to building a diverse and inclusive workforce and we encourage applications from people of all cultures, capabilities and backgrounds. • Sun, 23 Aug • HorizonOne

Data Engineer » Melbourne, Melbourne Region - At VicRoads the work you do has real impact. Our work connects people and communities. We keep Victorians moving safely and smoothly today and help them be ready for tomorrow. VicRoads empowers our people to learn and grow– focusing on impact and innovation. We reflect the diversity of Victoria and foster clever thinking to keep you and the community moving. VicRoads is progressing too. In August 2022, we started on a new chapter when the Victorian State Government partnered with Aware Super, Australian Retirement Trust, and Macquarie Asset Management to operate registration and licensing services on its behalf. We work collaboratively with the Victorian State Government to ensure we fulfill regulatory requirements, deliver State projects and safeguard customer data. The Victorian State Government retains sole responsibility for road access, infrastructure and safety. Experience in Databricks, Apache Spark with a focus on AWS Proficiency across CI/CD, Azure DevOps & infrastructure Fantastic permanent role in Melbourne CBD with hybrid option to work from home Are you passionate about building Data Solutions that power better outcomes? VicRoads is seeking a hands-on Data Engineer to join our Data Engineering & Platforms team and help shape the future of data. This is an opportunity for a mid-level engineer with 3 to 5 years of experience building scalable data solutions in modern cloud environments. You'll work on enterprise-grade data platforms, delivering reliable and secure data pipelines that support analytics, reporting, and decision-making across the organisation. NOTE: Due to security clearance requirements, you must be an Australian Citizen and capable of obtaining a Baseline Security Clearance. About the Opportunity As a Data Engineer, you will design, build, optimise, and maintain end-to-end data pipelines that ingest, process, and deliver high-quality data across the organisation. You will work with modern data technologies and distributed computing frameworks to solve complex data challenges, improve data accessibility, and support the delivery of trusted business insights. Key responsibilities include: Designing and developing scalable, secure, and resilient data pipelines Building and maintaining data integrations across multiple platforms and data sources Optimising pipeline performance and data processing workloads Supporting cloud-based data engineering solutions and platform enhancements Applying engineering best practices across automation, testing, deployment, and monitoring Working closely with technical and business stakeholders to translate requirements into effective solutions Contributing to data governance, security, reliability, and continuous improvement initiatives About You You're an engineer first and foremost. You enjoy solving complex data challenges, understand how data moves across large-scale environments, and take pride in building solutions that are performant, maintainable, and scalable. We're particularly interested in candidates who have built and maintained end-to-end data pipelines in modern data environments and can demonstrate depth of experience across large-scale data processing projects. What You'll Bring Australian Citizens only (required to obtain a Baseline Security Clearance) 3 to 5 years' experience building and maintaining data pipelines using modern data stack technologies such as Databricks, Apache Spark, dbt, Kafka, or similar Strong proficiency in SQL and Python, with hands-on experience developing data engineering solutions Extensive experience working with distributed data processing frameworks, particularly Apache Spark Demonstrated understanding of big data concepts and experience processing large and complex datasets Strong experience within AWS-based data environments and services Proven experience designing, building, and supporting end-to-end data pipelines Solid understanding of data modelling, data warehousing, ETL/ELT processes, orchestration, integration, and automation Experience applying CI/CD practices within data engineering environments, including exposure to Azure DevOps, infrastructure automation, and deployment pipelines Knowledge of data governance, security, and data quality best practices What Will Set You Apart Experience optimising Spark and Databricks workloads for scalability and performance The ability to explain the technical challenges you've faced, how you approached them, and the outcomes you achieved Strong stakeholder engagement skills, with the ability to partner effectively with both technical teams and business stakeholders A proactive, continuous improvement mindset and a passion for building robust engineering solutions Our culture Innovation powers progress, but it doesn’t come without support. To attract, retain, and develop talented people, we reward initiative and ingenuity, foster collaboration, and offer dynamic career development. At VicRoads, we embrace diversity and inclusion and we’re proud our workforce reflects the community we work for. What we offer Salary packaging, Fitness Passport & discounts to hundreds of retailers Opportunities for professional and personal development Flexible working arrangements and family-friendly practices, including 16 weeks paid parental leave How to apply We encourage applications from people of all genders, backgrounds and communities. If you need any adjustments to our recruitment process or the role itself, please let us know when applying. Please submit your application via the “Apply” button. For a copy of the Position Description please mail: [email protected] Unfortunately, applications cannot be accepted via this email. LI-KN1 VicRoads is required to evidence your right to work in Australia and may ask for your consent to check records maintained by the Department of Immigration and Border Protection as well as records maintained by Victoria Police and VicRoads as part of the selection process. Information provided to VicRoads will be treated in the strictest confidence. Please note that due to legal requirements you must be predominantly located in Australia and for certain roles, predominantly located in Melbourne or Victoria. • Fri, 21 Aug • VicRoads

Data Engineer » Melbourne, Melbourne Region - Infosys Consulting is the worldwide management and IT consultancy unit of the Infosys Group (NYSE: INFY), a global advisor to leading companies for strategy, process engineering and technology-enabled transformation programs. We partner with clients to design and implement customized solutions to address their complex business challenges, and to help them in a post-modern ERP world. By combining innovative and human-centric approaches with the latest technological advances, we enable organizations to reimagine their future and create sustainable and lasting business value. A pioneer in breaking down the barriers between strategy and execution, Infosys Consulting delivers superior business value to its clients by advising them on strategy and process optimisation as well as IT-enabled transformation. To find out how we go beyond the expected to deliver the exceptional, visit us at www.infosysconsultinginsights.com. Requirements Job Summary We are seeking a highly skilled Data Engineer with strong expertise in the AWS ecosystem to design, develop, and maintain scalable data platforms and pipelines. The ideal candidate will have advanced SQL capabilities, experience with modern data engineering practices, Python, CI/CD implementation, Databricks, MLOps concepts, and reporting tools such as Power BI or Tableau. This role requires collaboration with data scientists, analysts, software engineers, and business stakeholders to deliver robust data solutions that support analytics, reporting, and machine learning initiatives. Key Responsibilities Design, build, and optimize scalable data pipelines and ETL/ELT processes using AWS services. Develop and maintain data models, data warehouses, and lakehouse architectures. Write, optimize, and troubleshoot complex SQL queries for data extraction, transformation, and analysis. Build and automate deployment processes using CI/CD best practices, preferably with GitHub and GitHub Actions. Develop data processing solutions using Python (preferred) or Java. Work with Databricks to process large-scale datasets and support advanced analytics workloads. Collaborate with Data Science teams to support machine learning workflows and MLOps practices. Monitor, maintain, and improve data quality, reliability, and performance. Create and support reporting solutions using Power BI, Tableau, or other BI platforms. Implement data governance, security, and compliance standards across data platforms. Participate in architecture discussions and provide recommendations for scalable cloud-based data solutions. Role: Data Engineer Location: Melbourne Hiring Module: FTC / Permanent Benefits We welcome applications from all members of society irrespective of age, sex, disability, sexual orientation, race, religion, or belief. We make recruiting decisions based on your experience, skills and personality. We believe that employing a diverse workforce is the right thing to do and is central to our success. • Wed, 19 Aug • Infosys Singapore & Australia

GCP Data Engineer » Sydney, Sydney Region - GCP Data Engineer About the Role As a Data Engineer, you will play a key role in designing, developing, and optimising data solutions on Google Cloud Platform (GCP) . You will work closely with clients to implement scalable and reliable data pipelines, ensuring efficient data processing and analytics. Key Responsibilities Design, develop, and maintain scalable data pipelines using GCP services such as BigQuery, DataFlow (Apache Beam), and Cloud Storage. Implement ETL/ELT processes for data ingestion, transformation, and loading. Optimise data workflows for performance, scalability, and reliability. Ensure data governance, security, and compliance best practices. Collaborate with data scientists and analysts to enable seamless access to structured and unstructured data. Maintain code repositories and CI/CD pipelines to ensure efficient deployment processes. Troubleshoot and resolve data infrastructure issues, minimising downtime and performance bottlenecks. Stay up to date with industry trends and emerging technologies, continuously improving data engineering practices. Key Skills & Experience 5 years of experience in data engineering, with a strong background in Google Cloud Platform (GCP). Expert knowledge of SQL for data querying and manipulation within BigQuery. Experience in DataForm, Pub/Sub, BigQuery, Cloud Storage and other GCP services. Strong proficiency in Python for data processing tasks. Deep understanding and experience in data warehousing, schema design, and data modelling. Experience with ETL tools and frameworks for data ingestion and transformation. Knowledge of containerisation technologies (Docker, Kubernetes) is a plus. Strong problem-solving skills and ability to thrive in a fast-paced environment. Excellent communication and collaboration skills. Bachelor’s degree in Computer Science, Engineering, or a related field (Master’s preferred). Note: This position is based Sydney, Australia. The candidate must have full working rights in Australia to be eligible for this role. • Tue, 18 Aug • INGRITY

Azure Data Engineer » Melbourne, Melbourne Region - We're looking for an experienced Data Engineer to join a high-performing team delivering modern cloud-based data solutions on the Microsoft Azure platform. This is an excellent opportunity to work on large-scale data initiatives, designing and building robust, scalable data pipelines while collaborating with architects, developers and business stakeholders. What you'll be doing Designing, developing and maintaining Azure-based data pipelines. Building and optimising solutions using Azure Data Factory, Databricks and Azure Synapse Analytics. Developing Python-based solutions, Azure Functions and APIs. Working with SQL, JSON and modern data integration technologies. Applying data modelling and data warehousing best practices. Supporting CI/CD pipelines using Azure DevOps and GitHub. Working closely with technical and business stakeholders to deliver high-quality data solutions. What we're looking for 8 years' experience in Data Engineering or a similar role. Strong SQL and Python development skills. Commercial experience with Azure Data Factory (ADF), Databricks and Azure Synapse Analytics. Strong understanding of data modelling and data warehousing concepts. Experience working with Microsoft Fabric. Exposure to Azure Functions and API development. Experience working within Agile delivery environments. Excellent communication and stakeholder engagement skills. What's on offer Opportunity to work on enterprise-scale Azure data platforms. Collaborative, high-performing technical team. Modern cloud technologies and exciting data initiatives. Hybrid working environment. Initial contract with the potential for extension. If you're an experienced Azure Data Engineer looking for your next contract opportunity, we'd love to hear from you. • Mon, 17 Aug • luvo

Lead Data Engineer » Australia - Cognizant (NASDAQ: CTSH) is a leading provider of information technology, consulting, and business process services, dedicated to helping the world's leading companies build stronger businesses. Headquartered in Teaneck, New Jersey (U.S.), Cognizant combines a passion for client satisfaction, technology innovation, deep industry and business process expertise, and a global, collaborative workforce that embodies the future of work. Cognizant is a member of the NASDAQ-100, the S&P 500, the Forbes Global 2000, and the Fortune 500 and is ranked among the top performing and fastest growing companies in the world. Our Culture: Your passion, integrity and experience are integral to Cognizant's success. You will join a dynamic and expanding global leader in IT and Business consultancy where you will be valued for who you are. We take pride in our partnership with our clients, so your ability to add value and provide exceptional service to our clients is fundamental to your success. In return, you will be presented with opportunities to develop your career and collaborate with talented colleagues in a supportive, diverse environment. At Cognizant we recognize that companies that are open and welcoming to a multi-culturally diverse workforce will thrive with fresh perspectives and collaborative knowledge. Cognizant focuses on promoting & increasing gender diversity and providing a workplace which encourages great participation and an equal playing field, where merit and accomplishment are the only criteria for success. Job Summary: We are seeking an experienced Lead Data Engineer to lead the design, development, optimization, and implementation of scalable Big Data solutions, data pipelines, Azure Synapse Analytics solutions, and Azure Cloud-based data engineering platforms. Responsibilities : Lead end-to-end design and delivery of Big Data pipelines, frameworks, reusable components, and data processing solutions as per business and technical requirements. Provide technical leadership to developers and engineers, review designs and code, and ensure adherence to engineering best practices. Identify, analyse, and resolve complex Big Data performance, scalability, data quality, and production issues independently. Collaborate with architects, product owners, business stakeholders, QA, DevOps, and support teams across design, build, testing, deployment, and post-production support. Drive defect fixes during QA, UAT, production validation, and warranty phases while ensuring timely delivery and high-quality outcomes Skills Required: Strong technical leadership, analytical, problem-solving, and decision-making skills to deliver complex Big Data and Azure Cloud data engineering solutions. Extensive hands-on experience with Spark, PySpark, Scala or Java, Python, SQL, Hive, Kafka, Azure Synapse Analytics, Azure Data Lake Storage, Azure Data Factory, Databricks, and distributed data processing frameworks. Ability to design scalable batch and streaming data pipelines on Azure Cloud, optimize data workloads, troubleshoot production issues, and guide engineering teams on best practices. Strong knowledge of HDFS, MapReduce, Hive, Impala, Tez, Sqoop, Oozie, HBase, Cassandra, MongoDB, Kafka, Spark, Storm, Knox, Ranger, Flume, NiFi, Kerberos, Sentry, Cloudera Manager, Cloudera Navigator, Ambari, and Azure Cloud technologies. Independent high-level design ownership and technical leadership across Big Data delivery initiatives. Strong communication skills with the ability to influence engineering teams, architects, business stakeholders, QA, DevOps, and production support teams. Ability to manage stakeholder expectations, drive delivery governance, mentor team members, and ensure quality engineering outcomes Benefits: Joining Cognizant will give you the opportunity to learn and collaborate with some of the most talented people in the industry, while having your finger on the pulse of emerging industry trends and working on the cutting edge of technology in your field of expertise. We recognize that our people perform at their best when they feel valued as significant contributors and that is why at Cognizant, taking care of our employees is a priority: · You can pursue innovative career tracks and opportunities here · You can enhance your professional development through education and dedicated training · We'll give you the skills you need to keep pace with the changing workplace while our compensation, benefits and wellness packages help you stay healthy and plan for the future. Cognizant is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. • Sun, 16 Aug • Cognizant