Senior Data Engineer

Senior Data Engineer (Student Equity) Join to apply for the Senior Data Engineer (Student Equity) role at UNSW. 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 isn’t like other places you’ve worked. Yes, we’re 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, you’re in the right place. 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 UNSW’s 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. Skills & 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 settings, 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 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 November by 11:55pm . 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. 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 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. #J-18808-Ljbffr