Data Engineer: Build Scalable Pipelines and Insights

Bupa Australia; Melbourne; On-site; AUD 110,000 - 160,000; Full time

Job summary

Bupa Australia is seeking a Data Engineer to design, build and maintain scalable data pipelines across SAS ETL, Databricks and BI platforms. You will contribute to modernisation, migration, and governance of data assets to enable decision-ready insights for health services and insurance domains.

The role focuses on migrating legacy SAS datamarts to Databricks, maintaining data quality, and supporting analytics through Power BI and other reporting tools.

Qualifications

• Tertiary qualification in Computer Science, Information Systems, Data & Analytics, Engineering, or equivalent practical experience.
• 2+ years hands-on SAS ETL development, management and support.
• At least 1 year Databricks experience with data pipelines migrations from SAS to Databricks.
• Private health insurance sector experience with claims data is advantageous.
• Strong expertise in building, transforming and maintaining scalable data pipelines and datasets.
• Exposure to BI tools and analytics platforms (e.g., Power BI).
• Understanding of data governance, quality, testing and maintainability.

Responsibilities

• Design, build and maintain scalable data pipelines aligned to target-state architectures and engineering standards.
• Develop, optimise and support data transformations across operational stores, data warehouses and Databricks platforms.
• Apply ETL/ELT best practices and dimensional modelling to ensure reliable, reusable data assets.

Skills

Data engineering

ETL/ELT design

Data governance

Dimensional modelling

SCD/SCD2 modelling

Education

Bachelor's degree in Computer Science / Information Systems / Data & Analytics / Engineering

Tools

SAS ETL

Databricks

Power BI

SAS

Job description

Bupa Australia is seeking a Data Engineer to design, build and maintain scalable data pipelines across SAS ETL, Databricks and BI platforms. You will contribute to modernisation, migration, and governance of data assets to enable decision-ready insights for health services and insurance domains.

The role focuses on migrating legacy SAS datamarts to Databricks, maintaining data quality, and supporting analytics through Power BI and other reporting tools.