"Senior Data Engineer"

Job Description:

• Employment Type: Full time, continuing position.
• Remuneration: Level 8 – from $127,351 + 17% superannuation.
• Location: Kensington, NSW (Full time on-site role)

About the Role

The Senior Data Engineer is a key role within EDO, responsible for designing and maintaining scalable, cloud-based solutions on UNSW’s enterprise data platform. By leveraging expertise in data modelling, engineering, and DevOps, the position ensures a reliable analytics service through efficient pipelines and optimized system performance.

Reporting to the Senior Manager, Insight Analytics & Data, the role focuses on delivering actionable insights to stakeholders and has no direct reports.

The successful applicant will possess and have experience in:

• Design and maintaining scalable cloud-based data solutions on the enterprise data platform to ensure a sustainable analytics service.
• Engineer high-performance data pipelines and ingestion processes using Azure and Databricks to enable accurate visualization and insights.
• Implement reliable and cost-effective data lake operations based on dimensional modelling principles and infrastructure management standards.
• Translate complex business requirements into technical architectures and functional methods for implementing and testing requirements.
• Guide internal and external developers through implementation to ensure dashboards and reports meet institutional quality and technical standards.
• Enforce data accuracy and privacy protocols by validating systems against institutional regulations and security policies.
• Optimize system performance by evaluating and deploying emerging technologies to improve data ingestion, storage, and processing efficiency.

About You

• Obtained tertiary qualifications in IT or equivalent professional experience, supported by over 5 years of hands-on expertise in data engineering with MS Azure and Databricks.
• Utilized a diverse range of synchronous and asynchronous integration patterns, including API, ELT, and ETL, to build robust data architectures in appropriate settings.
• Demonstrated proficiency in data modeling and database schema development using SQL, Python/PySpark, and Unity Catalog to design and implement Azure data services.
• Managed automated testing and deployment for data solutions and lakehouse changes by leveraging Azure DevOps and CI/CD tools.
• Applied in-depth knowledge of higher education data frameworks and reporting requirements, including TEQSA, TCSI, and QILT, to ensure institutional compliance.
• Executed core data warehouse modeling principles, such as Kimball methodology and Slowly Changing Dimensions, to maintain industry best practices.
• Implemented complex security models and data governance controls to maintain strict privacy standards and system integrity across the enterprise.

For further information on the role & responsibilities, please refer to the Position Description

How to Apply:

Submit your CV & cover letter detailing your interest and suitability for the job (as per the skills & experience bullet points in the job description) before Wednesday 25 March 2026 by 11:55pm.

Please note: Sponsorship is not available for this role, valid Australian working rights are required on application.

UNSW Benefits and Culture:

People are at the core of everything we do. We recognise it is the contributions of our staff who make UNSW one of the best universities in Australia and the world. Our benefits include:

• Flexible Working Options (work from home, flexible hours etc)
• Additional 3 days leave during December festive period.
• Career development opportunities
• 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)

Job queries contact:

Tai James, Talent Acquisition Partner

E: tai.james@unsw.edu.au (applications to the address cannot be accepted, please apply online)

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.