Data Engineer – Medicare Mental Health Check In

St Vincent's Health Australia

Data 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.

Posted 6/30/2026full-timeMelbourne • 🇦🇺 AustraliaMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and optimizing ETL and ELT pipelines, leveraging Azure technologies and advanced SQL skills to build scalable data solutions. Ensures data governance and compliance within healthcare environments while collaborating effectively with cross-functional teams.

Highest-signal resume keywords

Azure Data FactoryDatabricksAdvanced SQLETL and ELT Pipeline DevelopmentData Governance

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Hard Skills

Data EngineeringData Warehouse DevelopmentDimensional ModellingRelational DatabasesPythonScalaData ModelingCI/CD PracticesInfrastructure as CodeAutomated Testing

Soft Skills

CollaborationProblem-SolvingCommunication

Tools & Technologies

Microsoft FabricPower BISSASGitDevOps

Industry Keywords

Healthcare Data ComplianceData GovernanceEnterprise Data ArchitectureMachine LearningGenerative AI

Tech Stack

Tools & technologies

AzureCloudETLPythonScalaSQL

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