Position
Preventive Health SA – Epidemiology and Research
Salary: $125,649 to $130,392 – AS08 – Full Time / Ongoing – Permanent
Overview
The Health Data Engineer is responsible for expanding and maintaining Preventive Health SA's (PHSA) new data analytics infrastructure to support the agency's preventive health planning. This role involves, but is not limited to:
* Managing large health data sets from various internal and external sources.
* Creating a modern and reliable automated data engineering workflow.
* Establishing both a data lake and a data warehouse for continuous epidemiological analysis.
In addition to working with PHSA staff, the Health Data Engineer collaborates with a diverse group of stakeholders, including universities, researchers, and government, non-government, and community organisations, to design high-level data architectures for data stored within the Epidemiology and Research Division.
Equity, Diversity and Inclusion
Preventive Health SA is committed to providing an inclusive workplace that embraces diversity and inclusion for all employees. We strongly encourage applications from people of Aboriginal and Torres Strait Islander descent, culturally diverse backgrounds, members of the LGBTIQA+SB community and people who live with disability and/or neurodivergence. We are committed to making workplace adjustments to provide a positive and supportive work environment. You are encouraged to let us know if you have any support or access requirements during the recruitment process and beyond to ensure you can perform at your best. The South Australian public sector promotes diversity and flexible ways of working part-time; applicants are encouraged to discuss flexible working arrangements for this role.
Compliance and Conditions
Appointment will be subject to a satisfactory Criminal History Check and appropriate immunisation requirements. Immunisation Risk for this position is Category C (minimal patient contact).
Essential Qualifications and Skills
* Bachelor degree in Health Informatics, Computer Science, Data Science, or a related field.
* Proven knowledge of quantitative research methods, data collection and management, and statistical analysis techniques.
* Ability to engineer and wrangle data in a modern data analytics platform environment, using applications such as Snowflake, Azure Data Factory/Bricks and Denodo.
* Experience in data visualisation and building dashboards using applications such as Power BI or Qlik.
* Proven experience in health data analysis and using tools such as SQL, R, and Python.
Please refer to pages 3–4 of the role description for further details on the essential minimum requirements.
Enquiries
Jason BennieDirector, Epidemiology and ResearchPhone: 7117 9173
Application Closing Date
Tuesday, 5 May 2026 – 11:55 PM
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