At a Glance
- Tasks: Design and build secure, scalable data pipelines for impactful decision-making.
- Company: Join UNSW, a leading university fostering innovation and collaboration.
- Benefits: Flexible work options, extra leave, course discounts, and competitive superannuation.
- Other info: Diverse and inclusive workplace with excellent career growth opportunities.
- Why this job: Make a difference in data engineering while enhancing your skills in a supportive environment.
- Qualifications: Experience in data engineering with skills in SQL, Python, and Azure.
The predicted salary is between 126909 - 155111 $ per year.
Employment Type: Full time, 35 hours per week, continuing position.
Remuneration: Level 7- from $118,483 + 17% superannuation.
About the Role
The Enterprise Data Office (EDO) enables data-informed decision-making across UNSW by managing its enterprise data platform, analytics, reporting, and governance capabilities to deliver secure, high-quality data for strategic, operational, and regulatory needs. Reporting to the Head of Data Product & Insights with no direct reports, the Data Engineer helps design, deliver, and enhance EDO’s Enterprise Data Intelligence Platform (EDIP). This encompasses data ingestion, transformation, modelling, integration, and operational support. Operating with substantial technical expertise and independence, the role resolves complex data engineering challenges, adapts established methods, and creates tailored solutions. Additionally, the position contributes to technical standards, advises stakeholders, and offers technical guidance, peer reviews, and work coordination for team members and delivery partners.
The successful candidate will have demonstrated experience in and be responsible for:
- Independently design, build, test, and maintain secure, scalable data pipelines and models aligned with business requirements.
- Apply advanced data engineering techniques to build curated, reusable data structures supporting enterprise reporting and analytics.
- Resolve complex data quality, integration, and performance issues using fit-for-purpose methods and robust solution architecture.
- Lead technical work packages from scope and testing through to deployment and production issue resolution within set timeframes.
- Provide expert consultative advice to EDO colleagues and UNSW stakeholders on data modelling, platform capabilities, and technical constraints.
- Partner with stakeholders and delivery partners to capture requirements, balance competing interests, and improve technical standards through peer reviews and knowledge sharing.
About You
- Tertiary qualifications in IT or equivalent experience in complex enterprise data engineering, with desirable exposure to Microsoft Azure and Databricks.
- Sound knowledge of data governance, security, and Higher Education reporting frameworks including TCSI, TEQSA, and QILT.
- Practical expertise building data engineering solutions using SQL, Python/PySpark, Azure Data Factory, Databricks, and API/ETL/ELT patterns.
- Proven experience in data modelling and lakehouse architecture, incorporating Kimball methodology, dimensional modelling, and performance optimisation.
- Strong analytical skills to resolve complex technical issues, adapt established approaches, and deliver practical, fit-for-purpose solutions.
- Excellent communication, stakeholder management, and DevOps capabilities (CI/CD, Azure DevOps, Git, Unity Catalog) tailored for Agile environments.
For further information on the role & responsibilities, please refer to the Position Description.
Please note: Sponsorship is not available for this role, valid Australian working rights are required on application.
UNSW Benefits and Culture:
- Flexible Working Options (work from home, flexible hours etc)
- Additional 3 days leave during December festive period.
- Up to 50% discount on UNSW courses.
- Flexible 17% Superannuation contributions, additional leave-loading payments and salary sacrifice.
- Discounts and entitlements (retail, education, fitness passport).
UNSW is committed to equity diversity and inclusion. Applications from women, people of culturally and linguistically diverse backgrounds, those living with disabilities, members of the LGBTIQ+ community; and people of Aboriginal and Torres Strait Islander descent, are encouraged. UNSW provides workplace adjustments for people with disability, and access to flexible work options for eligible staff.
Advertised: 21 Oct 2026 AUS Eastern Daylight Time
Applications close: 04 Nov 2026 AUS Eastern Daylight Time
Data Engineer employer: University of New South Wales
At the University of New South Wales, we pride ourselves on fostering a dynamic and inclusive work environment that champions professional growth and innovation. As a Senior Education & Teaching Support Manager, you will be part of a collaborative team dedicated to transforming education in the Faculty of Medicine & Health, with access to competitive remuneration, generous leave entitlements, and a commitment to equity and diversity. Our vibrant campus culture and strong industry connections provide unique opportunities for impactful work and career advancement in a leading educational institution.
Contact Details:
University of New South Wales Recruitment Team
