Data Engineer
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Before you apply
LocationVIC - Melbourne, East Melbourne; QLD - Brisbane, Bowen Hills; NSW - Sydney, Woolloomooloo
Work modehybrid
Typefull-time
SenioritySenior
Experience5+ yrs
Company size10,000+ people
PostedOct 30, 2026 · 5d ago
Verified live1d ago
At a glanceSummarised by Seekless from the posting.
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)
Excellent communication, problem-solving, and stakeholder engagement skills
Understanding of healthcare data privacy standards and the flexibility to support operational requirements and occasional on-site travel
Tertiary qualification in Information Technology, Health Informatics, or a related discipline
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
Completion of all required pre-employment checks, including relevant immunisations
Skills
Microsoft Azure
Azure Data Factory
Azure SQL
Power BI
Databricks
Microsoft Fabric
Python
Scala
Git
CI/CD
Azure Analysis Services
SSAS
Azure OpenAI
Benefits
Salary packaging
Discounted private health insurance
Employee assistance program
Fitness passport
Job 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.
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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.
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Monitor and maintain data warehouse environments to ensure high reliability, optimal performance, and cost efficiency.
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Apply software engineering best practices to data solutions, including Git version control, CI/CD automation, testing, and configuration management.
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Implement robust security, access controls, data lineage, and automated quality checks within established governance frameworks.
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Build, enhance, and integrate master-data capabilities across enterprise reporting and analytics platforms.
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Create and maintain tabular data models using Power BI, Azure Analysis Services, and SSAS.
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Provide operational troubleshooting for production services and participate in scheduled after-hours support when required.
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Develop and maintain technical documentation, system configuration records, support guides, and training materials.
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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 http://www.svha.org.au/about-us/reconciliation
Legal
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.
Interested? Apply today and please note - we will be progressing applications throughout the advertising period.
Respectfully, no recruitment agencies.
Closing Date:
5 November 2026 11:59pm
Reconciliation Action Plan:
At St Vincent’s we acknowledge the importance of creating a work environment that is welcoming, safe, equitable and inclusive for Aboriginal and/or Torres Strait Islander Employees. 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 https://www.svha.org.au/about-us/reconciliation or get in contact at [email protected]
View Reconciliation Action Plan
Code of Conduct:
View Code of Conduct