Data Engineer

Reference Number: 3734

Category: Management & Administration

Department: Performance & Decision Support

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Austin Health is the major provider of tertiary health services, health professional education and research across three campuses in the north-east of Melbourne and statewide. We have a highly engaged, diverse and collaborative workforce that is unified by our goal to help people live healthy and fulfilled lives.

About the Business Intelligence Unit

The Business Intelligence Unit is responsible for leveraging data to provide valuable insights that support decision-making, improve operational efficiency, and enhance patient care.

About the role

This role is jointly funded by the Northeast Melbourne Health Service Partnership and the Eastern Melbourne Public Health Network. The goal is to deliver a predictive algorithm and dashboard for expected wait times on relevant Specialist clinic waiting lists. This role will support that work by automating data pipelines and feature engineering. We are seeking a junior data warehouse developer who has some exposure to Azure Databricks and/or Fabric.

A regular day will see you:

• Build data pipelines from an Azure database using Azure Data Factory and/or Databricks
• Work alongside and data scientist to develop engineered features to support predictive algorithms
• Migrate existing data pipelines into Azure Fabric

About you

As the Data Engineer, you will be someone who has excellent communication skills, with a strong commitment to excellence in patient care. You'll bring energy and drive to your work, and have a keen interest in developing your skillset.

To be successful in this role you'll bring with you:

• Experience building data pipelines and infrastructure to support predictive modelling and advanced analytics.
• Strong experience developing and maintaining scalable ETL/ELT pipelines for feature engineering of structured and unstructured data.
• Advanced SQL and Python skills and experience working with large datasets using Spark (e.g., PySpark) and data lake architectures.
• Proven experience collaborating with data scientists to deploy and operationalize machine learning models within production data pipelines.

Our benefits

Working at Austin Health means enjoying a strong sense of purpose, engaging in meaningful work every day. Our people also receive a variety of rewarding benefits, including:

• Greater take-home pay through generous salary packaging, for living expenses, meals, and holiday accommodation.
• A suite of wellness initiatives designed to support you, including discounted fitness memberships and special offers on health insurance, and a comprehensive wellbeing program.
• Onsite childcare at Austin Hospital, easy access via public transport and car parking options.
• Mentoring and career development opportunities.

Work with us

We are committed to cultural safety and health equity for Aboriginal and/or Torres Strait Islander People. We celebrate, value, and include people of all backgrounds, genders, identities, cultures, bodies, and abilities. We welcome and support applications from talented people identifying as Aboriginal and/or Torres Strait Islander, people with disability, neurodiverse people, LGBTQIA+ and people of all ages and cultures.

If you feel this role is right for you, we encourage your early application. Even if you don't meet every single requirement, we encourage you to apply. What matters most is your passion, your drive and your willingness to learn and contribute. Applications will be reviewed as they are received, and interviews may take place prior to the closing date. This means we reserve the right to close a job ad prior to the advertised closing date.

All appointments are made subject to a satisfactory National Police Check and if required, a Working With Children Check. If you require any reasonable adjustments to the recruitment process, you are welcome to reach out to the hiring manager: Chris Hamilton, Director Business Intelligence at

Interested in finding out more about this opportunity? Read the position descriptionfor further details.

Application closing date: Monday 20 October 2025