Data Engineer

University of New South Wales; Sydney; On-site; AUD 107,000 - 130,000; Full time

Benefits offered by this job

Flexible working options

3 extra days leave during December

Up to 50% discount on UNSW courses

Job summary

University of New South Wales in Sydney, NSW is seeking a Data Engineer to design, build, and optimize enterprise data pipelines and data models. You will work within the Enterprise Data Office to deliver secure, scalable solutions and guide stakeholders on data platform capabilities.

The role requires expertise in SQL, Python/PySpark, Azure Data Factory, Databricks, and CI/CD practices, with strong communication and DevOps capabilities in an Agile environment.

Qualifications

• Bachelor’s degree in IT or related field or equivalent experience in complex enterprise data engineering.
• Experience designing, building, testing, and maintaining secure, scalable data pipelines and models.
• Experience with data governance, security, and enterprise reporting frameworks.

Responsibilities

• Design, build, test, and maintain secure, scalable data pipelines aligned to business needs.
• Apply advanced data engineering techniques to support enterprise reporting and analytics.
• Lead technical work packages from scope to deployment within deadlines.

Skills

SQL

Python / PySpark

CI/CD

Azure DevOps

Git

Stakeholder management

Education

Bachelor's degree in IT or related field

Tools

Azure

Databricks

SQL Server

APIs/ETL/ELT

Unity Catalog

Python

Job description

University of New South Wales - Sydney NSW

1d ago , from University of New South Wales

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.

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 paymentsand 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