Hybrid Healthcare Data Engineer: Azure, AI & Analytics

St Vincent's Hospital Melbourne; Melbourne; Hybrid; AUD 140,000 - 180,000; Full time

Benefits offered by this job

Hybrid working

Salary packaging

Private health insurance

Employee Assistance Program

Fitness Passport

Job summary

St Vincent's Health Australia in Melbourne is seeking a Data Engineer to manage and develop the data pipelines that feed the enterprise data platform, underpinning reporting, analytics, ML and AI initiatives.

You will work with Azure Data Factory, Azure SQL, Power BI and Databricks or Microsoft Fabric, shaping data models and governance while collaborating with stakeholders to ensure data is secure, accurate and fit for purpose.

Qualifications

• Minimum five years of experience across data engineering, modeling, architecture, and warehousing.
• Proven experience designing and building enterprise ETL/ELT solutions using Microsoft Azure, Azure Data Factory, and modern lakehouse architectures.
• Advanced SQL capabilities and programming in Python or Scala for data manipulation and automation.
• Strong understanding of data warehouse architecture, dimensional modeling, and data profiling.
• Experience developing secure Power BI dashboards and tabular models across Azure Analysis Services and SSAS.

Responsibilities

• Design, build, and maintain end-to-end ETL/ELT pipelines across Azure Data Factory, Azure SQL, Databricks or Fabric.
• Shape data models and enterprise data architectures with dimensional modeling.
• Monitor and maintain data warehouse environments for reliability and cost efficiency.
• Apply software engineering best practices: Git, CI/CD, testing, configuration management.
• Implement data security, lineage, access controls, and governance.

Skills

Data engineering

SQL

Python

Azure

ETL/ELT

Power BI

Git

CI/CD

Security & governance

Education

Bachelor's degree in IT/Health Informatics

Tools

Azure Data Factory

Azure SQL

Databricks

Microsoft Fabric

Power BI

SSAS

Job description

St Vincent's Health Australia in Melbourne is seeking a Data Engineer to manage and develop the data pipelines that feed the enterprise data platform, underpinning reporting, analytics, ML and AI initiatives.

You will work with Azure Data Factory, Azure SQL, Power BI and Databricks or Microsoft Fabric, shaping data models and governance while collaborating with stakeholders to ensure data is secure, accurate and fit for purpose.