Data Centre Engineer jobs

Job no: 543603
Work type: Full Time
Location: Sydney, NSW
Categories: Information Technology

• Employment Type: Full time, 35 hours per week, continuing position.
• Remuneration: Level 7– from $118,483 + 17% superannuation.
• Location: Kensington, NSW. Hybrid work profile.

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

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 4 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: 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 Consultant

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.