Title: Staff Data Engineer Location: Australia Job Description: Is this you? This is not a role for someone looking to manage a platform, optimise a process or work within well-defined boundaries. It is for someone who is curious, unconventional and intellectually restless. You are energised by complexity. You see connections where others see silos and are equally comfortable discussing AI, data, technology, risk, economics and business strategy in the same conversation. You are drawn to problems without obvious answers and believe the most meaningful opportunities exist where disciplines collide. If you want predictable work, established playbooks and clearly defined paths, this probably is not the team for you. If you want to help shape how one of Australia's largest institutions thinks, reasons and makes decisions in the age of AI, we would love to meet you. What's the role? As a Staff Data Engineer - Downstream, you will build critical data capabilities that power Westpac's intelligence ecosystem. You will create scalable, trusted and reusable data products that enable semantic understanding, AI adoption and enterprise decision-making. This role is far more than a traditional data engineering role. You will operate across architecture, engineering and business domains to simplify complexity, unlock new possibilities and help establish the foundations upon which future innovation can be built. You''ll join a multidisciplinary team of engineers, AI specialists, ontologists and product leaders focused on solving some of the Bank''s most complex Data, AI and Technology challenges. This role can be based in Sydney or the Gold Coast. What do I need? - Strong experience in data engineering, ideally within complex enterprise environments. - Demonstrated experience designing and building trusted, scalable and reusable data capabilities. - Strong understanding of data accessibility, quality, observability and interoperability. - Ability to partner with engineers, ontologists and AI specialists to bring complex solutions into production. - Strong appreciation for how business concepts, data structures and technology platforms interact. - Experience working across regulated environments, with financial services experience a must. - Ability to challenge legacy thinking and simplify how data is moved, understood and consumed. - Strong communication skills with the ability to bridge business, data and technical communities. Why join us? We're obsessed with becoming our customers'' #1 banking partner for life and we're looking for people who are passionate about helping us achieve that goal. In return, we're committed to making Westpac the best place to work in the country. Here are just a few of the ways we're already doing that: - Special offers on banking products and discounts from top brands, including generous employee-only mortgage rates! - Flexible work arrangements to help you achieve a greater work/life balance, and a variety of leave options including Culture, Lifestyle and Wellbeing leave. - Tailored learning and development opportunities to help your grow your career within the bank. - Lots of opportunities to 'give back' to the Community by getting involved in our many volunteering initiatives. Create your future today To get started, simply click on the APPLY or APPLY NOW button We're all about creating a supportive and inclusive community. We welcome everyone - no matter your age, gender, background, or abilities. We also provide additional support to welcome our veterans, Indigenous Australians and neurodiverse community. If you need any adjustments during the recruitment process, you can find more information and contact details on our FAQs and how to contact us page, under the 'Diversity, sustainability and flexibility' section. #LI - Hybrid.

• Design, build, and maintain scalable and fault-tolerant data pipelines using AWS services. • Own and evolve the architecture for data ingestion, transformation, and storage. • Design and maintain data models, data warehouses, and data marts to support analytics and financial reporting. • Develop and operate robust ETL processes ensuring timely, accurate, and auditable data ingestion. • Partner with analytics, finance, product, and engineering teams to translate business requirements into durable data solutions. • Optimize data pipelines and infrastructure for performance, reliability, and cost efficiency. • Establish data quality checks, monitoring, and alerting to ensure trust in data. • Ensure data security, integrity, and compliance across the full data lifecycle. • Build and manage data infrastructure using Terraform and infrastructure-as-code practices. • Support and improve executive dashboards, financial reporting, and operational analytics. • Troubleshoot complex data issues and lead root cause analysis and resolution. • Mentor junior team members and set best practices for data engineering across the organization. • Stay current with industry trends and continuously improve data platform capabilities.

Title: Data Engineer Location: Melbourne Australia Job Description: Data Engineer - 509805 - Sydney, NSW, Australia - Brisbane, QLD, Australia - Melbourne, VIC, Australia - Full-Time (Permanent) - Closing on: Jun 12 2026 Add to favourites View favourites Step into an exhilarating journey with Velocity Frequent Flyer Virgin Australia's award-winning loyalty program. We make rewards fast and meaningful from dream holidays and upgrades to retail, fuel, and everyday perks. What you'll be doing: The Data Engineer will be responsible for solving business problems with data on our Databricks platform including design, build and support of data products that underpin our analytics, reporting, dashboarding, marketing and advanced analytics initiatives. - Develop scalable & robust data solution, pipelines and processes in Databricks on complex data using SQL & Python - Design, develop, test and implement data products to solve business problems - Manage and optimise data assets for performance, scalability, reliability and cost efficiency. - Identify, design, and implement internal process improvements, such as automating manual processes and optimising data delivery - Collaborate with stakeholders to understand their data requirements and provide effective solutions - Able to consult with squads and leadership on issues related to data technologies, data usage, project planning, prioritisation, and timeline estimates. You'll be great in this role if you: - Experienced in Cloud Data Warehouse services - Databricks (preferred), otherwise Snowflake, AWS Redshift or Azure. Experience working with Python, Unix and Git (or other distributed version control tools) is desirable. - Experienced in implementing end-to-end ETL processes/pipelines with advanced SQL Cloud or classical data environments like Oracle, MSSQL, Teradata or Postgres. - Strong experience in designing & developing complex relational and log data solutions. - Knowledgeable in relational and big data solutions, data warehousing, data integration, data modelling, data optimisation and data analysis techniques. - Experienced working on marketing data solutions (including campaign and CDPs), customer analytics, web analytics or implementing Power BI solutions is valued - Ideally 5+ year''s experience working in a similar role - Ability to effectively communicate with stakeholders across the business and work as part of a team is essential - Enjoy working with a small team on solving complex problems and working on multiple priorities concurrently. What you'll get from us: We're committed to looking after you, with some of the best benefits and conditions in the industry - including (but not limited to): - Heavily discounted air travel for you and your loved ones (including $1000 worth of travel credits per year) - Flexible working arrangements (including work hours and work from home) - Discounts on travel insurance, car hire, accommodation and experiences worldwide - Discounted Virgin Australia Lounge membership - Hospitality, retail, technology, beauty services and wellness discounts - Wellness support, including the Converge digital wellbeing platform - A comprehensive Employee Assistance Program, which offers confidential coaching and support from qualified professionals for all aspects of life - physical, mental, social and financial - Dress for Your Day - enjoy the freedom to wear whatever is appropriate for the type of work you do and the day you have ahead of you - Flexible working arrangements and periodic work travel Equality rules: We're all individuals. We love that. That's why we encourage applications from Indigenous Australians, people with disability, those from diverse cultural backgrounds, our friends in the LGBTQI+ community, and anyone else who wants to join our family. Ready to apply? We're ready to hear from you. Apply now. Back to job listing

Role Description Gritter Francona is looking for a Data Modeler to provide technical expertise in the design, development, implementation, and maintenance of enterprise data models supporting the Veterans Health Administration (VHA) Veterans Family Member Program (VFMP) Modernization Portfolio. This role is responsible for designing logical and physical data models that enable modernization initiatives, improve operational efficiency, and ensure the integrity, accessibility, and security of enterprise data. The Data Modeler works closely with business stakeholders, architects, application developers, Electronic Data Interchange (EDI) specialists, and Integrated Project Teams (IPTs) to develop scalable data solutions that support VFMP's modernization objectives. The role ensures that data architecture supports high-volume business operations, system interoperability, and long-term maintainability while enabling accurate reporting, performance measurement, and informed decision-making. - Design, develop, and maintain conceptual, logical, and physical data models that support the VFMP Modernization Portfolio. - Produce comprehensive database design documentation, including entity relationship diagrams, data models, data dictionaries, metadata definitions, and data flow diagrams. - Analyze business requirements and translate them into scalable, efficient, and maintainable database designs. - Evaluate and configure database technologies to align user requirements with system capabilities, performance objectives, and operational needs. - Determine appropriate database structures, file organization, indexing strategies, partitioning methods, and storage optimization techniques. - Define and implement database security, data integrity, and access control procedures consistent with VHA and Federal information security requirements. - Plan, coordinate, and support the migration and conversion of legacy databases into modernized environments while preserving data quality and integrity. - Collaborate with application development, systems engineering, and EDI teams to ensure data models support provider, eligibility, claims, and related transaction processing. - Support modernization initiatives that improve efficiency across high-volume business operations, including: - Beneficiary enrollment - Claims adjudication - Appeals processing - Benefits coordination - Care coordination - Pharmacy support - Nurse review - Processing of non-standard customer requests - Ensure data models enable modernization objectives by supporting: - Inventory management within established Key Performance Indicators (KPIs) - Processing timeliness as operational volumes increase - High levels of data accuracy and integrity - Enterprise performance measurement and reporting - User-friendly and maintainable solutions for VFMP and VHA - Collaborate with Integrated Project Teams (IPTs), business analysts, solution architects, database administrators, and vendors to ensure consistent enterprise data architecture. - Identify opportunities to improve data quality, reduce redundancy, standardize data definitions, and enhance enterprise data governance. - Support testing, validation, and quality assurance activities to ensure data models function as intended within enterprise applications. - Document data standards, modeling conventions, database architecture, and migration procedures to support long-term system maintenance. Qualifications - Bachelor's degree - Must have practical field experience in the last year, with a minimum of four (4) years federal healthcare work experience. - Experience in data modeling methodologies, including conceptual, logical, and physical data modeling. - Previous experience with VHA or other Federal healthcare information systems and modernization initiatives. Benefits - Health Care Plan (Medical, Dental & Vision) - Retirement Plan (401k, IRA) - Life Insurance (Basic, Voluntary & AD&D) - Paid Time Off (Vacation, Sick & Public Holidays) - Short Term & Long Term Disability - Training & Development