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Data Engineer – Medicare Mental Health Check In
St Vincent's Health AustraliaData Engineer designing enterprise-scale data solutions to improve healthcare outcomes. Collaborating with technology teams to build scalable cloud-based platforms in a hybrid work environment.
Tech Stack
Tools & technologiesAzureCloudETLPythonScalaSQL
About the role
Key responsibilities & impact- Design, build and optimise enterprise-scale ETL and ELT pipelines
- Develop modern cloud-native data solutions using Azure Data Factory, Microsoft Fabric and Databricks
- Design and maintain scalable data warehouse and lakehouse environments
- Apply software engineering best practices including CI/CD, automated testing, version control and Infrastructure as Code
- Develop high-performing data models that support enterprise analytics and reporting
- Build trusted data foundations that enable Machine Learning, advanced analytics and Generative AI initiatives
- Develop vector database pipelines supporting Retrieval-Augmented Generation (RAG) solutions
- Ensure data governance, security, quality and compliance within a healthcare environment
- Collaborate with data scientists, analysts, architects and business stakeholders to deliver high-value solutions
- Monitor, troubleshoot and continuously improve platform reliability, scalability and performance
- Contribute to documentation, engineering standards and the ongoing uplift of enterprise data capability
Requirements
What you’ll need- 5+ years experience in Data Engineering, Data Platform or Data Warehouse development
- Strong experience with Azure technologies including Azure Data Factory, Databricks and Microsoft Fabric
- Advanced SQL skills together with Python or Scala
- Experience designing and implementing modern ETL and ELT pipelines
- Strong understanding of dimensional modelling, relational databases and enterprise data architecture
- Experience with Power BI, SSAS or comparable analytics platforms
- Experience using Git, DevOps and CI/CD practices
Benefits
Comp & perks- Building technology that directly improves healthcare outcomes
- Working with modern Azure cloud technologies and enterprise-scale data platforms
- Exposure to advanced analytics, Machine Learning and AI initiatives
- Hybrid working arrangements that support flexibility
- Competitive salary packaging benefits that increase your take-home pay
- Ongoing professional development and learning opportunities
- A collaborative, inclusive and supportive engineering culture
- The opportunity to influence enterprise architecture and technology strategy
- Working alongside talented professionals committed to innovation and continuous improvement
- The satisfaction of knowing your work contributes to better healthcare for communities across Australia
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
Data EngineeringData Warehouse DevelopmentDimensional ModellingRelational DatabasesPythonScalaData ModelingCI/CD PracticesInfrastructure as CodeAutomated Testing
Soft Skills
CollaborationProblem-SolvingCommunication