Senior Data Engineer (Health Manager Level 4)

• Multiple Permanent Full Time positions available!
• Opportunity to work from our modern offices in Chatswood
• In-office presence with hybrid flexibility for work-life balance
• Attractive salary, up to $169,151 + 12% Super + 17.5% annual leave loading
• Accrue up to 12 extra days off per year + 4 weeks annual leave
• Increase your take home pay with salary packaging, meal allowance, fitness passport and more
• Join the team enriching health in millions of ways every day through digital innovation

Applications Close: 11:59 pm, 9 October 2025

About Us – eHealth NSW

At eHealth NSW, we’re leading the digital transformation of Australia’s largest health system. As NSW Health’s digital centre of excellence, we design, build and support world-class ICT solutions that improve patient care across the state.

We're harnessing digital technology to better patient care and deliver scalable, quality, patient-centred, digital healthcare. With your skills and experience, you can help enrich the lives of millions while developing your career within Australia’s largest health organisation - alongside passionate tech professionals, health partners and industry leaders building solutions that truly make a difference.

About the Opportunity

As Senior Data Engineer of our Data Analytics Services at eHealth NSW, you will help make a real difference in healthcare by playing a pivotal role in shaping the future of healthcare analytics. Reporting to the Principal Data Platform Lead or Senior Product Owner – Clinical Analytics, you will collaborate with a team of digital healthcare specialists, analytics experts, and technology professionals to develop and continuously enhance a suite of analytics products. Your work will empower healthcare providers to improve patient outcomes and streamline care delivery.

This role offers the opportunity to use modern data and analytics tools and be part of the team responsible for designing and building new data products using Snowflake, Data Build Tool (DBT), AWS and Microsoft product stack. You will be developing, maintaining, and enhancing data and analytics solutions to improve patient outcomes and streamline care delivery.

In this role, you will:

• Be responsible for the design and build of data products and pipelines for optimal extraction, transformation and loading of data from a wide variety of data sources using Snowflake, AWS and Microsoft Azure product stack.
• Collaborate with other data engineers, solution architects, data analysts and data scientists on data initiatives involving large and complex datasets and databases.
• Apply strong data analytics expertise to explore and interpret complex datasets, uncovering insights on how to effectively and accurately use the datasets for analytics.
• Support the lifecycle of analytics solutions; assist in technical design, data models, dashboards, analytics tools, implementation of reports, and testing to ensure alignment with strategic roadmaps and quality delivery.
• Follow coding standards, quality‑assurance practices, and architectural patterns that enhance security, maintainability, and performance.

About you

We are looking for someone who has:

• Worked in large, complex organisations with a customer centric focus and a growth mindset.
• Experienced in delivering in a high-volume environment, using an Agile approach and familiar with modern DevOps methodology.
• Experience in building data pipelines in at least one cloud computing environment (such as Snowflake, Amazon Web Services or Microsoft Azure Platform).
• Advanced SQL and Python knowledge for building data products, working with a variety of databases, including version management products such as Git.
• Technical expertise to implement robust and scalable data pipeline architectures, with a strong focus on cloud and data security.
• A strong track record of designing, maintaining, and optimising sophisticated data models that support critical clinical analytics - ensuring impeccable data quality and reliability.
• Demonstrated ability to independently produce data assets and solutions with minimal guidance, navigating ambiguity to deliver high‑value outcomes.
• Prior experience in serverless computing platforms, such as Amazon Web Services (AWS) Lambda, Azure functions, and Snowflake.
• Proficient understanding of distributed computing principles, and strong analytical skills related to working with unstructured datasets.

If this sounds like you and you’re looking for a rewarding new opportunity, we would love to hear from you.

Need more information?

• Position Description
• Find out how we hire at eHealth NSW
• Check out our diversity and inclusion commitment
• Learn more about us at eHealth NSW

Working at eHealth

Our people are at the heart of who we are. We support our people with great benefits so they can enrich health in millions of ways every day:

• Flexible work options
• Professional growth and career development
• Allocated day off per month
• Salary Packaging
• Various health and wellbeing programs to support our team

How to apply

Share with us your cover letter and most up to date resume (up to 5 pages), highlighting your relevant skills and experience.

We recognise that AI tools are increasingly being used to assist with resumes and applications. While we accept their use, we’re eager to see your personality and get to know the person behind the application!

For further discussions around the role or recruitment process, including adjustments, please contact our Talent Advisor at [email protected] or Hiring Manager, Kashif Magbool at on [email protected] and quote REQ606925.

We will review all applications after the closing date. If your application is successful, you may be invited to take part in additional assessments as part of the recruitment process.

Additional information

• This recruitment may be used to create a Talent Pool for similar future roles (ongoing or temporary) that may arise over the next 18 months.
• To be eligible for this role you must have current Australian work rights (Australian citizen, permanent resident, New Zealand citizen with a current passport, or hold a valid visa with permission to work in Australia).
• If you currently reside outside NSW, please confirm in your application your willingness to relocate if successful.