Data Engineer-medicare Mental Health Check In

St Vincent’s Health Australia

Melbourne, Victoria, Australia
Hybrid
Design and optimize data platforms
Build scalable data pipelines (etl/elt)
Develop and maintain data warehouse and lakehouse environments
Design and optimise data platforms that directly support clinical care, operational performance, and national health initiatives

Job Summary

  • Design and optimise data platforms that directly support clinical care, operational performance, and national health initiatives.
  • Contribute to data pipelines supporting Machine Learning, Generative AI, and advanced analytics use cases.
  • Influence architecture, governance, and how data is leveraged across one of Australia’s largest health systems.

Matching Summary

Design and optimise data platforms that directly support clinical care, operational performance, and national health initiatives.

Skills & Requirements

Must-have

  • Design and optimize data platforms
  • Build scalable data pipelines (ETL/ELT)
  • Develop and maintain data warehouse and lakehouse environments
  • Implement software engineering best practices
  • Perform data modelling and architecture design
  • Enable AI and ML readiness
  • Support Generative AI use cases (RAG)

Nice-to-have

  • Experience in healthcare or regulated environments
  • Exposure to MLOps
  • Experience with containerisation

Key Requirements

  • 5+ years’ experience in data engineering, data warehousing, or data architecture
  • Strong experience with Azure data platforms (ADF, Databricks, Fabric)
  • Proficiency in Python or Scala
  • Advanced SQL
  • Knowledge of CI/CD, DevOps practices, and Infrastructure as Code

Work Rights

Not specified

Tailored Resume

Cover Letter