Data Engineer – Azure/Databricks, Flexible Work Options

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 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.