Data Engineer (DataX) at Westpac Group

Sydney, New South Wales, Australia -

Full Time

Start Date

Immediate

Expiry Date

20 Aug, 26

Salary

0.0

Posted On

22 May, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, SQL, Spark, Azure, Databricks, Synapse, Snowflake, ETL/ELT Design, Data Modelling, Schema Design, Feature Stores, ML Data Pipelines, CI/CD, Azure DevOps, GitHub Actions, Data Governance

Industry

Financial Services

Description

* Sydney Location / Hybrid Working About the Opportunity At Westpac, we’re building 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 teams leverage shared 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 enable prompt, trusted, model-ready data at scale. You’ll complement 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’ll build and operate robust 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 and operate ingestion pipelines across internal and external data sources * Develop medallion-architecture data layers (bronze/silver/gold) using Spark and cloud platforms * Build and maintain feature stores supporting AI/ML workloads * Implement monitoring, data quality checks, alerting, and pipeline observability * Collaborate with data scientists to optimise data availability and feature design * Maintain clear documentation across datasets, pipelines, and 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 * Experience operating within 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                      We’re obsessed with becoming our customers' #1 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. Create your future today! To get started, simply click on the APPLY or APPLY NOW button. 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 our website [https://www.westpac.com.au/about-westpac/inclusion-and-diversity/Inclusion-means-everyone-matters/disability-and-accessibility/].

Responsibilities

Design, build, and operate robust data ingestion pipelines and medallion-architecture data layers to support Economics research and AI use cases. Implement monitoring, data quality checks, and maintain feature stores for ML workloads in a regulated environment.