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Data Engineer (DataX)

🗓️ Posted 2026-08-10 Sydney, New South Wales, Australia Full-time Hybrid ICT

Company shared salary

NA

Market rate

A$8,000–A$14,000/mo (A$96,000–A$168,000/yr)

Based on similar roles (title + domain + location).

About the Company

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.

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
  • ● Maintain clear documentation across datasets, pipelines, and lineage

Requirements

  • ● Strong hands-on data engineering experience (Python, SQL, Spark in
  • ● 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
  • ● Strong data modelling and schema design capability
  • ● Ability to communicate clearly and collaborate across engineering and
  • ● analytics teams
  • ● 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
  • ● 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
  • ● Tailored learning and development opportunities to help grow your career