EHealth NSW provided pay range: This range is provided by eHealth NSW. Your actual pay will be based on your skills and experience.
Base pay range
A$141,974.00/yr - A$169,151.00/yr
Job Description
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.
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.
Responsibilities
- Design and build 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.
Requirements
- Experience working in large, complex organisations with a customer centric focus and a growth mindset.
- 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 robust analytical skills related to working with unstructured datasets.
Applications Close: 11:59 pm, 9 October 2025
We are an equal opportunity employer and welcome applications from all qualified candidates. We are committed to creating a diverse and inclusive workplace and encourage applications from diverse candidates, including those from indigenous and regional backgrounds.
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📌 Senior Data Engineer
🏢 eHealth NSW
📍 City of Sydney