Data Engineer (DataX)

• Sydney Location /Hybrid Working

About the Opportunity

At Westpacwerebuilding the core data foundations powering the transformation of our Economics capability into a data and AI-driven function. The DataX and Economics teams sit within WIB DDAI (Data Digital & AI).

DataX delivers data-driven products and insights to institutional clients while Economics provides macroeconomic research and forecasting that shapes Westpacs market voice. Together these teamsleverageshared data assetstoolingand publication pipelines to unlock value at scale.

This is a role for a sharp hands-on Data Engineer who thrives in production environmentsdesigning and operating pipelines curated data layers and feature stores that enableprompt trusted model-ready data at scale.

Youllcomplement a high-impact squad at the intersection of Data and Economics working with complex datasets and modern platforms to support one of the most trusted economic voices in Australia. Youllbuild andoperaterobust data pipelines and curated datasets that accelerate Economics research and AI use cases ensuring high data quality reliability and strong governance in a regulated environment.

Key Responsibilities

• Design build andoperateingestion pipelines across internal and external data sources
• Develop medallion-architecture data layers (bronze/silver/gold) using Spark and cloud platforms
• Build andmaintainfeature stores supporting AI/ML workloads
• Implement monitoring data quality checksalertingand pipeline observability
• Collaborate with data scientists tooptimisedata availability and feature design
• Maintainclear documentation across datasetspipelinesand lineage

Essential Ingredients

• Strong hands-on data engineering experience (Python SQL Spark in production)
• Tertiary qualifications in a relevant Technology discipline
• Proven experience building and scaling pipelines on Azure Databricks Synapse Snowflake or similar
• Solid experience in ETL/ELT design and orchestration with a reliability mindset
• Strong data modelling and schema design capability
• Experienceoperatingwithin complex regulated enterprise environments
• Ability to communicate clearly and collaborate across engineering and analytics teams
• Experience with feature stores and ML data pipelines
• Exposure to financial services or macroeconomic data domains
• CI/CD experience for data pipelines (Azure DevOps GitHub Actions)

Our Promise to You

Were obsessed with becoming our customers #1 banking partner for life and were looking for people who are passionate about helping us achieve that return were committed to making Westpac the best place to work in the country.

Here are just a few of the ways were already doing that:

• Special offers on banking products and discounts from top brands including generous employee-only mortgage rates!
• Flexible work arrangements to help you achieve a greater work/life balance and a variety of leave options including Culture Lifestyle and Wellbeing leave.
• Tailored learning and development opportunities to help grow your career within the bank.
• Lots of opportunities to give back to the Community by getting involved in our many volunteering initiatives.

Create your future today!

To get started simply click on theAPPLYorAPPLYNOWbutton.

Were all about creating a supportive and inclusive community. We welcome everyone no matter your age gender background or abilities. We also provide additional support to welcome our veterans Indigenous Australians and neurodiverse community.

If you need any adjustments during the recruitment process you can find out more information and additional contact details by visiting thePeople with Disability and/or needing Accessibility Requirementspage on ourwebsite.