Data Engineer (DataX)
Quick Overview
Job Description
At Westpac,we'rebuilding 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 Westpac's market voice. Together, these teamsleverageshared data assets,tooling,and publication pipelines to unlock value at scale.
This is a role for a sharp, hands-on Data Engineer who thrives in production environments-designing and operating pipelines, curated data layers, and feature stores that enableprompt, trusted, model-ready data at scale.
You'llcomplement 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. You'llbuild 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 checks,alerting,and pipeline observability
- Collaborate with data scientists tooptimisedata availability and feature design
- Maintainclear documentation across datasets,pipelines,and lineage
- 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)
We're obsessed with becoming our customers' banking partner for life and we're looking for people who are passionate about helping us achieve that goal. In return, we're committed to making Westpac the best place to work in the country.
Here are just a few of the ways we're 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.
We're 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 the"People with Disability and/or needing Accessibility Requirements"page on ourwebsite .
Skills
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