Make an impact at the University of Wollongong (UOW) — a purpose driven institution ranked in the top 1% of universities globally.
About the Role
The Data & Analytics Engineer plays a key role in designing, building and maintaining high-quality, secure data products that suppot informed decision-making across the University of Wollongong. Working within the Financial Services & Enterprise Data Division, this role spans the full data lifecycle—ingesting, transforming and modelling data to deliver reliable insights and scalable solutions. Collaborating with stakeholders across the organisation, the position contributes to the ongoing enhancement of the Enterprise Data Warehouse, ensuring it remains a trusted, high-performing strategic asset while driving innovation and data-driven outcomes.
Key responsibilities:
- Deliver trusted, high-quality data products that enable accurate, timely and actionable insights for business decision-making.
- Ensure the Enterprise Data Platform operates reliably and securely, supporting scalable analytics and strong data governance across the organisation.
- Improve data quality, consistency and accessibility, driving confidence and adoption of enterprise data assets.
- Partner with stakeholders to translate business needs into effective data solutions, contributing to measurable improvements in reporting, efficiency and strategic outcomes.
About the Team
This role sits within the Financial Services & Enterprise Data Division, reporting to the Senior Manager, Data Products and Automation. It works closely with Enterprise Data team members, Data Custodians, and stakeholders across faculties and divisions to deliver reliable data solutions. The team exists to build and maintain a trusted, enterprise-wide data platform that enables informed decision making and supports the University’s strategic and operational goals.
What You’ll Bring
- Relevant qualifications and/or experience in data and analytics, ideally within higher education.
- Demonstrated experience in data engineering, including building and maintaining data pipelines and data models.
- Strong technical skills in SQL, Python and modern data/ETL tools.
- Knowledge of data architecture, integration and cloud-based data platforms.
- Proven ability to translate business needs into effective data solutions.
- Strong analytical and problem-solving skills with attention to detail.
Why Join UOW
- Competitive salary package including 17% superannuation
- 35-hour full-time work week supporting greater balance and flexibility
- Flexible working arrangements and family-friendly policies
- Generous leave entitlements including additional concession days over the Christmas–New Year period
- Purchased leave options to provide greater flexibility throughout the year
- Ongoing professional development and clear career progression opportunities
Role Details
- Employment type Permanent/Continuing | Full-time
- Level 6/7 | Salary $96,898 - $119,986 + 17% superannuation commensurate with experience and capability.
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- Location: Campus / Hybrid
- Valid Australian work rights required. Visa sponsorship is not available
How to Apply
Click on the ‘Apply Now’ button at the bottom of the advertisement. You’ll be requested to submit a resume, and cover letter (of no more than 3 pages) summarising your skills and experience as they relate to the selection criteria located in the position description.
For further information about this position, please contact Damien Menanteau, Senior Manager, Data Products and Automation on + 61 2 4221 5042.
Closing Date: Tuesday 30 June 2026, 11:55pm AEDT
Equity, Diversity & Inclusion
The University of Wollongong is committed to fostering an inclusive and equitable workplace where diversity is valued, respected and celebrated. We strive to create a workplace that reflects the communities we serve, removes barriers to participation, and provides equitable opportunities for staff to reach their full potential. We strongly encourage applications from Aboriginal and Torres Strait Islander peoples, people of all gender identities and sexual orientations, people from culturally and linguistically diverse backgrounds, people with disability, and those with caring or family responsibilities.
As required by federal legislation, prospective employees are required to declare whether they have been investigated for an allegation of Gender based Violence or determined to have engaged in conduct that constitutes Gender based Violence, during their previous employment, or otherwise in a legal process. Any such declaration will be included in the University’s employment screening processes and will be treated with the strictest confidence and in compliance with all privacy legislation.
