Data Engineer

Posted:
10/29/2025, 1:26:57 PM

Location(s):
Queensland, Australia ⋅ Herston, Queensland, Australia

Experience Level(s):
Junior ⋅ Mid Level ⋅ Senior

Field(s):
Data & Analytics

  • School of Public Health

  • Full-time fixed-term position through to end of June 2027

  • Base salary will be in the range $102,565.37 - $111,686.39 + 17% Superannuation (HEW Level 7)

  • Based at our Herston Campus

About This Opportunity 

Join the Australian Women and Girls’ Health Research (AWaGHR) Centre — a multidisciplinary team dedicated to improving the health and wellbeing of women and girls throughout their lives.

We’re seeking a Data Engineer to help underpin the Centre’s research operations by developing secure, efficient systems and processes that enable participant recruitment and data collection.

As part of the Centre’s data support team, you’ll work closely with data managers and analysts to ensure the integrity, security, and accessibility of research data across a range of studies.

Key responsibilities will include:

  • Design and maintain databases to support participant recruitment, verification, and tracking, including automation of project communications.

  • Develop secure systems for managing personally identifiable information in line with legislation and ethics and generate de-identified datasets for analysis.

  • Implement and uphold high data security and integrity standards, including the use of Trusted Research Environments and adherence to institutional data governance policies.

  • Build and customise data collection tools in REDCap or similar platforms, ensuring alignment with study requirements and user needs.

  • Train, support, and collaborate with project staff to use developed systems, extract data, and maintain high data quality across studies.

  • Contribute to the ongoing improvement of the Centre’s data infrastructure, including maintenance of databases, websites, documentation, and the adoption of innovative and efficient data engineering practices.

About UQ

As part of the UQ community, you will have the opportunity to work alongside the brightest minds, who have joined us from all over the world.

Everyone here has a role to play. As a member of our professional staff cohort, you will be actively involved in working towards our vision of a better world. By supporting the academic endeavour across teaching, research, and the student life, you will have the opportunity to contribute to activities that have a lasting impact on our community.

Join a community where excellence is at the core of our culture, contributions are valued and a range of benefits and rewards are available, such as:

  • Up to 26 weeks paid parental leave/paid primary care leave

  • 17% superannuation contributions + 17.5% annual leave loading

  • Health and wellness discounts – fitness passport access, free yearly flu vaccinations, discounted health insurance, and access to our Employee Assistance Program for staff and their immediate family

  • Career development opportunities –access to exclusive internal-only vacancies and our Study for Staff program

  • Salary packaging options

About You

  • Completion of an undergraduate degree Data Science, Computer Science, Data Engineering, Information Systems, or a related field, or an equivalent combination of relevant experience and education.

  • Demonstrated experience in database development, data management, and automation in a research setting.

  • Demonstrate strong understanding of privacy and information regulations pertaining to health and medical research data, including record linkage and requirements for using health administrative records from government agencies.

  • Demonstrated experience in developing and maintaining database documentation, including user manuals and maintenance logs.

  • Highly developed organisational and time-management skills, capable of independently managing multiple priorities simultaneously, meeting deadlines, and maintaining meticulous attention to detail. 

  • Strong interpersonal and communication skills, with the ability to train and support non-technical staff.

  • Proven ability to work collaboratively in multidisciplinary teams.

  • Ability to identify opportunities for system improvement and implement innovative solution, as well as strong analytical and troubleshooting skills.

The successful candidate may be required to complete a number of pre-employment checks, including right to work in Australia.

You must maintain unrestricted work rights in Australia for the duration of this appointment to apply. Employer sponsored work rights are not available for this appointment.

Questions? 

For more information about this opportunity, please contact Professor Annette Dobson at [email protected].  

For application inquiries, please reach out to the Talent Acquisition team at [email protected], stating the job reference number (below) in the subject line. 
 

Want to Apply? 

We welcome applications from all individuals and are committed to an inclusive and accessible recruitment process. To be considered, please ensure you upload:

  • Resume

  • A cover letter summarising how your background aligns with the 'About You' section

Our strength as an institution lies in our diverse colleagues. We're dedicated to equity, diversity, and inclusion, fostering an environment that mirrors our wider community. We're committed to attracting, retaining, and promoting diverse talent. If you require an alternative method to submit your application due to accessibility needs or personal circumstances, please contact [email protected].

Other Information 

UQ is committed to a fair, equitable and inclusive selection process, which recognises that some applicants may face additional barriers and challenges which have impacted and/or continue to impact their career trajectory. Candidates who don’t meet all criteria are encouraged to apply and demonstrate their potential. The selection panel considers both potential and performance relative to opportunities when assessing suitability for the role.

Applications close Sunday November 9th 2025 at 11.00pm AEST (R-57563). Please note that interviews have been tentatively scheduled for the week commencing November 17th 2025.