Data Engineer Melbourne, Victoria

Bupa; Melbourne; On-site; AUD 120,000 - 170,000; Full time

Job summary

Bupa ANZ is seeking a Data Engineer to design, build and maintain scalable data pipelines and datasets, aligning with target‑state architectures and engineering standards.

You will work across SAS ETL and Databricks migrations, supporting data platform modernisation, data governance and analytics solutions such as Power BI. This role enables trusted, decision‑ready insights across Health Insurance and Health Services.

Qualifications

• Tertiary qualification in CS/IS/Analytics/Engineering or related field, or equivalent experience.
• 2+ years hands-on SAS ETL development, monitoring and troubleshooting.
• 1+ year data engineering with Databricks; migration experience is a plus.
• Private health insurance sector experience with claims data is advantageous.
• Strong data engineering and software development skills for pipelines and datasets.
• Exposure to BI tools including Power BI or equivalent.
• Understanding of data modelling, data quality and governance principles.
• Familiarity with data governance and lineage practices.

Responsibilities

• Design, build and maintain scalable data pipelines and datasets to target architectures.
• Develop and optimise data transformations across operational stores, data warehouses and Databricks.
• Apply ETL/ELT and dimensional modelling best practices for reliable, reusable data assets.

Skills

SAS ETL

Databricks

Data pipelines

Power BI

Data governance

Education

Tertiary qualification in Computer Science / Information Systems / Data & Analytics / Engineering or related field

Tools

SAS

Databricks

Power BI

Job description

At Bupa, purpose meets possible. Join us and help shape a future where healthcare is more connected, more personal and more human.

We’re a global healthcare leader trusted by millions and committed to helping people to live longer, healthier, happier lives and making a better world. Healthcare is changing, and so are we. We’re investing in more clinics, better systems and smarter, more connected ways to help our customers. As we continue to expand our services and invest in innovation, you’ll help create a healthcare system that meets people where they are, responds to what they need and leaves them better than before.

Here, your work has purpose, your voice matters and your future is full of possibility.

Just imagine the impact you could make.

The purpose of this job

As a Data Engineer at Bupa, you will apply your specialist skills to support Bupa ANZ in executing its Data Strategy, as well as the Claims Intelligence team in delivering the Business Intelligence Strategy and

Roadmap. Together, we are focused on building and maintaining Bupa’s data platforms, enabling the organisation to work more strategically with data and decision-ready assets to maximise competitive performance.

Data Engineers play a critical role in enabling our data-driven future by contributing to a range of Data Services, including Operational Data and Analytics, Data Warehousing and Business Intelligence, Advanced Analytics, and Self-Service capabilities. This role is important as it underpins high‑quality decision-making, unlocks value from data assets, and supports innovation across the organisation. These services span multiple business units, including Health Insurance, Health Services, and corporate functions, making the role central to delivering impactful outcomes.

You will support the migration of data and data assets from legacy systems to strategic platforms, while ensuring stability and ongoing support to the legacy systems throughout the transition period. Additionally, you will deliver data solutions aligned with our Target State Architectures across a variety of technologies. You will be responsible for implementing solutions that adhere to established standards and engineering guidelines, while also contributing to the continuous improvement of team practices.

What you’ll need to make it possible:

• Tertiary qualification in Computer Science, Information Systems, Data & Analytics, Engineering, or a related field, or equivalent practical experience. Postgraduate qualifications are advantageous but not essential.
• At least 2 years of hands‑on experience developing, managing and supporting SAS ETL processes, including operational monitoring and troubleshooting.
• At least 1 year of hands‑on data engineering experience using Databricks, with experience migrating data pipelines and workloads from SAS to Databricks considered an advantage.
• Prior experience in the private health insurance sector, particularly with claims data, is advantageous.
• Strong expertise in data engineering and software development, including building, transforming, and maintaining scalable data pipelines and datasets.
• Exposure to business intelligence and analytics tools, including semantic modelling, data cubes, and reporting platforms (e.g. Power BI or equivalent).
• Experience developing and maintaining analytical data assets such as curated datasets, data marts, and semantic layers.
• Understanding of data modelling concepts (e.g. SCD/SCD2 dimensional modelling) and best practices in data quality, testing, and maintainability.
• Understanding of data governance principles, including the creation and management of trusted, reusable, decision‑ready data assets.

What you’ll be doing in this role:

Data Engineering and solution Delivery

• Design, build and maintain scalable, high‑quality data pipelines and datasets aligned to target‑state architectures and engineering standards.
• Develop, optimise and support data transformations across operational data stores, data warehouses and the Databricks platforms.
• Apply best practices in ETL/ELT design, dimensional modelling, and data engineering to ensure data assets are reliable, reusable and decision‑ready.

Data Platform and Migration Support

• Contribute to data platform modernisation initiatives, including migration of legacy data assets (e.g. SAS datamarts) to cloud‑based platform (Databricks).
• Support dual‑platform operations during transition, ensuring consistency of business logic, metric definitions and classifications across environments.
• Assist in the migration, consolidation and decommissioning of legacy datasets and reporting assets.

Legacy SAS ETL Operations & Support

• Monitor and support mature, business‑critical legacy SAS ETL processes, including daily operational monitoring, issue identification and timely resolution to maintain reliable data processing and availability.
• Troubleshoot ETL failures and operational issues, including restarting failed processes where appropriate and performing more detailed investigation, remediation and escalation when required.

Data Governance, Quality and Risk Management

• Support implementation of data governance practices, including management of trusted, reusable and decision‑ready data assets.
• Proactively identify, assess and manage data‑related risks, issues and gaps, ensuring timely resolution and escalation where required.
• Maintain clear documentation of data models, pipelines, logic and lineage to support transparency and maintainability

Why you’ll love it?

We support our people to be the healthiest and happiest versions of themselves.

If this sounds exciting, we’d love to hear from you. Let’s shape the future of healthcare, together.

At Bupa your wellbeing, identity, and personal story are respected and valued. We are continuing to build teams that reflect the diversity of the communities we serve. Bupa is committed to providing equal opportunities and fostering a workplace and environment that is free of discrimination, bullying and harassment.

We actively encourage applicants from all backgrounds and experiences, including Aboriginal and Torres Strait Islander peoples, veterans, people with disabilities, and LGBTQIA+ applicants.

We are dedicated to removing barriers to participation. If you need any reasonable adjustments during the recruitment process, or if you’d like to discuss how this role can be flexible for you, please let us know so we can support your participation on an equitable basis.