About This Opportunity
We are seeking a Senior Data Engineer to play a critical role in the ongoing development, optimisation, and governance of the data infrastructure underpinning the ATLAS Indigenous Primary Care Surveillance and Research Network. This role provides senior technical leadership, mentoring, and capability uplift across the data function.
Key Responsibilities
* Lead the design, development, and optimisation of automated data ingestion, transformation, and validation pipelines for large‐scale EMR data.
* Re‐architect existing workflows to create modular, maintainable, and scalable data products.
* Operate within secure, on‐premises research computing environments, while complying with ethics and governance requirements, cybersecurity standards and Indigenous data sovereignty principles.
* Implement robust automated quality assurance processes and maintain comprehensive documentation.
* Collaborate with technical teams, researchers, and stakeholders to ensure alignment of data systems with project and analytical requirements.
* Provide technical advice and guidance to researchers on best‐practice data workflows.
* Contribute to a proactive culture of safety, collaboration, and continuous improvement.
About You
* Qualification in software engineering, computer science, IT, or related discipline, or equivalent experience.
* Demonstrated experience working with Electronic Medical Record (EMR) data.
* Experience designing and optimising data pipelines and architectures using tools such as DBT or SSIS.
* Proficiency in SQL, Python programming skills and R for analytical workflows.
* Familiarity with database administration (e.g., Microsoft SQL Server, Oracle) and Git/GitHub.
* Strong organisational, problem‐solving, and communication skills, with experience engaging diverse stakeholders.
* Commitment to research integrity, ethics, workplace health and safety, and UQ values.
* Supervisory experience and readiness for team leadership (highly desirable).
* Knowledge of Indigenous Data Sovereignty principles (highly desirable).
* PhD or Research Masters (or progress towards one) – highly desirable.
* Experience with DevOps, agile, containerisation (Docker), Linux server administration, full‐stack development, or network security – highly desirable.
Benefits
* Up to 26 weeks paid parental leave / paid primary care leave.
* 17% superannuation contributions + 17.5% annual leave loading.
* Access to flexible working arrangements including hybrid working options, flexible start/finish times, purchased leave, and a condensed fortnight.
* Health and wellness discounts – fitness passport access, free yearly flu vaccinations, discounted health insurance, and access to our Employee Assistance Programme for staff and their immediate family.
* Career development opportunities – access to exclusive internal‐only vacancies and our Study for Staff programme.
* Salary packaging options.
Application Process
Applications close Sunday 8th February 2026 at 11.00pm AEST (R-60214). To be considered please upload Resume and a cover letter summarising how your background aligns with the 'About You' section.
Questions?
For more information about this opportunity, please contact Dr Carol El‐Hayek at c.elhayek@uq.edu.au. For application inquiries, please reach out to the Talent Acquisition team at talent@uq.edu.au, stating the job reference number (below) in the subject line.
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