Data Engineer

St Vincent’S Health Australia; Sydney; Hybrid; AUD 140,000 - 180,000; Full time

Benefits offered by this job

Competitive salary packaging options

Discounted private health insurance

Employee Assistance Program for staff

Job summary

St Vincent’s Health Australia is seeking an experienced Data Engineer to design, build, and maintain the data pipelines for our enterprise data platform. You will enable reporting, analytics, machine learning and AI initiatives across the organisation, using Azure Data Factory, Azure SQL, Databricks or Microsoft Fabric, and Power BI.

The role requires strong SQL, Python/Scala, data warehousing, and governance know-how, with a track record of delivering secure, scalable data solutions.

Qualifications

• Minimum five years of experience in data engineering, modeling, architecture or warehousing.
• Experience designing and building ETL/ELT solutions using Microsoft Azure.
• Strong SQL and programming skills in Python or Scala for data manipulation and automation.
• Deep understanding of data warehouse architecture and dimensional modeling.
• Proven ability to develop secure Power BI dashboards and tabular models across Azure Analysis Services/SSAS.
• Experience with Git, CI/CD, automated testing and governance practices.
• Exposure to modern AI concepts (Generative AI, vector databases, predictive analytics).
• Excellent communication and stakeholder engagement, with healthcare data privacy awareness.

Responsibilities

• Design, build, and maintain end-to-end ETL/ELT pipelines across Azure Data Factory, Azure SQL, Databricks or Fabric.
• Model enterprise data architectures and dimensional models with governance in mind.
• Monitor and optimize data warehouse performance and costs.
• Apply software engineering practices: Git, CI/CD, testing, configuration management.
• Ensure data security, data lineage and quality checks in governance frameworks.
• Develop and maintain Power BI tabular models and dashboards.
• Provide operational support and document data pipelines and configurations.
• Collaborate with business and technical stakeholders to meet data product requirements.

Skills

Advanced SQL

Python

Scala

Communication

Stakeholder engagement

Problem solving

Education

Bachelor's degree in Information Technology or Health Informatics

Tools

Azure Data Factory

Azure SQL

Databricks

Microsoft Fabric

Power BI

SSAS

Git

CI/CD

Infrastructure as Code

Containerization

Job description

Description

:

About the role

St Vincent’s Health Australia has committed, through Strategy 2030, to connecting care across its public hospitals, private hospitals, aged care and virtual care services, with half of all care delivered virtually or in people’s homes by 2030.

As a Data Engineer, you will manage and develop the data pipelines that feed St Vincent’s Health Australia’s enterprise data platform and underpin reporting, analytics, machine learning and emerging Generative AI solutions.

You will:

• Build and maintain trusted data pipelines that support reporting, analytics, machine learning and AI use cases across the organisation.
• Work with modern Microsoft data technologies, including Azure Data Factory, Azure SQL, Power BI, Databricks or Microsoft Fabric.
• Shape data models, integration patterns and engineering standards for the enterprise data platform.
• Work closely with business, technical and governance stakeholders to ensure data is secure, governed, accurate and fit for purpose.

Key responsibilities of the role

• Design, build, and maintain end-to-end ETL/ELT pipelines to profile, cleanse, and integrate multi-source data across modern platforms like Azure Data Factory, Azure SQL, Databricks or Microsoft Fabric.
• Design enterprise data architectures and dimensional models (facts, dimensions, hierarchies) while evaluating risks and impacts.
• Monitor and maintain data warehouse environments to ensure high reliability, optimal performance, and cost efficiency.
• Apply software engineering best practices to data solutions, including Git version control, CI/CD automation, testing, and configuration management.
• Implement robust security, access controls, data lineage, and automated quality checks within established governance frameworks.
• Build, enhance, and integrate master-data capabilities across enterprise reporting and analytics platforms.
• Create and maintain tabular data models using Power BI, Azure Analysis Services, and SSAS.
• Provide operational troubleshooting for production services and participate in scheduled after-hours support when required.
• Develop and maintain technical documentation, system configuration records, support guides, and training materials.
• Collaborate with internal and external stakeholders to communicate system updates, resolve issues, and ensure data products meet business requirements.

Things that work for us

• Minimum five years of experience across data engineering, modeling, architecture, and warehousing, supported by a tertiary qualification in Information Technology, Health Informatics, or a related discipline.
• Proven experience designing and building enterprise ETL/ELT solutions using Microsoft Azure, Azure Data Factory, and modern lakehouse architectures such as Databricks or Microsoft Fabric.
• Advanced SQL capabilities alongside strong programming proficiency in Python or Scala for data manipulation, pipeline engineering, and automation.
• Deep understanding of data warehouse architecture and dimensional modeling methodologies, combined with strong data profiling, cleansing, and systems analysis skills.
• Demonstrated experience developing analytical reporting solutions, including secure Power BI dashboards and tabular models across Azure Analysis Services and SSAS.
• Strong implementation of software engineering best practices (Git, CI/CD, automated testing), with desirable exposure to Infrastructure as Code and containerization.
• High-regard experience or practical exposure to modern AI concepts, including Generative AI (Azure OpenAI, RAG, prompt engineering), vector databases, and predictive analytics.
• Excellent communication, problem-solving, and stakeholder engagement skills, with an understanding of healthcare data privacy standards and the flexibility to support operational requirements and occasional on-site travel.

Things that work for you

• Permanent, full-time role based in Melbourne with hybrid working (minimum two day a week on site)
• Competitive salary packaging options
• Discounted private health insurance
• Employee Assistance Program for staff and their families
• Access to the Fitness Passport (FP)

Why become part of St Vincent’s Health Australia

Because you’re like us, you believe in our vision that every person, whoever and wherever they are, is served with excellent and compassionate care, by a better and fairer health and aged care system. Better for all our people, who work tirelessly to provide the highest levels of care and quality of life for our patients and clients. And better support for the local communities we play an important role in and continue to support.

Reconciliation Action Plan

As part of our Commitment to Reconciliation and Closing the Gap in employment related outcomes, we encourage applications from Aboriginal and Torres Strait Islander Peoples. For further information, visit

We celebrate diversity & inclusion and are committed to equal employment opportunity for everyone.

Your employment is conditional upon the completion of all required pre-employment checks, including relevant immunisations.

Closing Date

5 November 2026 11:59pm