Senior Data Engineer (Student Equity)

• Employment Type: Full time 1 year project role until December 2026
• Remuneration: $127k 17% super & leave loading
• Location: Kensington NSW (On- campus role with hybrid working options)
  
  

About UNSW:
UNSW isnt like other places youve worked. Yes were a large organisation with a diverse and talented community; a community doing extraordinary things. Together we are driven to be thoughtful practical and purposeful in all we do. Taking this combined approach is what makes our work matter. If you want a career where you can thrive be challenged and do meaningful work youre in the right place.

This role sits within UNSW Planning and Performance (UPP) to build capability in business intelligence and planning managing robust data through its enterprise data warehouse Information Hub and Data and Information Governance.

Why Your Role Matters:
UPP is a strategic resource for senior University management delivering insights analysis and management information.

As Senior Data Engineer (Student Equity) your focus will be designing building and supporting data pipelines across student equity information utilising UNSWs data to inform the priorities of the Student Equity team within the Division of Societal Impact Equity and Engagement (DSIEE). This includes data ingestion transformation and ensuring systems are reliable sustainable and aligned with platform architecture and the business needs of the Student Equity Team.

Working closely with the Student Equity team you will be building and maintaining a comprehensive suite of dashboards that facilitate institution-wide access to critical insights across the retention and academic success of students from equity cohorts and alternative pathways.

Reporting to the Senior Manager Insight Analytics & Data and a dotted line to the Student Equity team to oversee the delivery of complex system solutions that establish effective student equity data delivery.

Who you are:With demonstrated experience across data engineering modelling and data warehouse management you will be confident in ensuring ongoing efficient data pipelines stable deployments and high-performing systems that support effective data visualisation and stakeholder insights.

You will hold the following skills and experience:

• Demonstrated ability to write complex Structured Query Language (SQL) manipulate and analyse data using various tools (including Azure Data Factory Data Bricks & Analysis Services).
• Strong expertise in designing and delivering clear impactful data visualisations using tools such as Power BI to communicate technical insights effectively.
• Proficient in data modelling integration and design with hands-on expertise in SQL Python/PySpark Unity Catalog and database schema development. Skilled in designing and implementing solutions using Azure data services.
• Experience with Azure DevOps and CI/CD tools for automated testing and deployment of data related solutions and database/lakehouse changes.
• Demonstrated experience coordinating and delivering large scale data visualisation projects in PowerBi to support decision making in complex organisational setting ideally within higher education.
• Advanced project management skills with the ability to manage multiple concurrent complex projects (end to end) to provide high-level advice and review and re-engineer complex systems and processes.
• Demonstrated high-level critical thinking analytical research planning advisory and creative problem solving skills
• Strong technical and computing skills with excellent attention to detail.
• Proven ability to establish highly effective and collaborative working relationships and initiate change using high level interpersonal influencing and written and verbal communication skills.
• Demonstrated high level administrative and organisation skills including proven ability to prioritise high volume workflow to meet critical and competing deadlines.

For further information on the role & responsibilities please refer to the position description found on

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 Sunday 30 Novemberby 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 paymentsand salary sacrifice.
• Discounts and entitlements (retail education fitness passport)
  
  

Job queries contact: Katherine Molloy Talent Acquisition Consultant
E: (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.