Data Engineer — Cloud Data Pipelines & BI

Bupa Australia; Melbourne; On-site; AUD 100,000 - 150,000; Full time

Job summary

Bupa Australia is seeking a Data Engineer in Melbourne to help build and maintain data platforms and pipelines across Data Services, Data Warehousing, and BI workloads. You will contribute to data migration projects, ensure data quality, and support analytics initiatives across Health Insurance, Health Services, and corporate functions.

The role emphasizes building scalable data solutions, adhering to standards, and enabling decision-ready data assets for improved business outcomes.

Qualifications

• Tertiary qualification in Computer Science, Information Systems, Data & Analytics, Engineering, or related field; postgraduate preferred.
• At least 2 years hands-on SAS ETL development, monitoring and troubleshooting.
• At least 1 year Databricks experience; SAS to Databricks migration a plus.
• Experience with BI tools such as Power BI or equivalents.

Responsibilities

• Design, build and maintain scalable data pipelines and datasets aligned to target-state architectures.
• Develop and support data transformations across data stores and data warehouses.
• Apply best practices in ETL/ELT design and data modelling to ensure reliable, reusable data assets.

Skills

SAS ETL

Databricks

Data pipelines

Data modelling

Education

Bachelors in CS/IS/Engineering

Tools

SAS

Power BI

Job description

Bupa Australia is seeking a Data Engineer in Melbourne to help build and maintain data platforms and pipelines across Data Services, Data Warehousing, and BI workloads. You will contribute to data migration projects, ensure data quality, and support analytics initiatives across Health Insurance, Health Services, and corporate functions.

The role emphasizes building scalable data solutions, adhering to standards, and enabling decision-ready data assets for improved business outcomes.