Big Data and Azure Stack experience required
About the role:
We are seeking a skilled Data Engineer to join ourData Delivery line of business within
Enterprise Platforms Engineering (EPE)
.
You will be part of a team shaping how enterprise data is engineered, governed, and activated to deliver value across customer, risk, and operational domains.
First and foremost, we are looking for a Data Engineer with hands-on technical skills with
Hadoop, Python, PySpark, ETL
and the
Azure cloud stack
.
You will combine robust technical depth with clear delivery ownership, working closely with product owners, service owners, and business stakeholders to translate complex requirements into scalable, reliable data products.
Additionally, you will help shape how
agentic AI
is adopted to improve engineering productivity and quality across the data lifecycle.This role will combine hands on data engineering with AI adoption strategies, to deliver scalable, secure, and resilient data solutions that create real business value.
About you:
You are passionate about cutting-edge technology and want to be part of a data engineering team that encourages innovation and supports growth and development.
You bring strong technical expertise, and a product mindset, along with a genuine appetite to learn and grow.
Your key responsibilities include:
Design, build, and support cloud native, event driven data platforms and APIs
Develop and operate scalable data pipelines and storage solutions on Azure
Build high quality, secure, and maintainable code with strong performance and reliability
Optimise data pipelines, queries, and algorithms for scalability and cost efficiency




Produce and review technical designs, documentation, and operational runbooks
Engineer AI/ML ready datasets with strong data quality, lineage, and governance
Apply responsible AI, privacy, and data governance controls in regulated environments
Collaborate with delivery, product, architecture, security, and platform teams
Participate in code reviews, uplift engineering standards, and mentor others
Contribute to the strategic evolution of the data platform and engineering practices
What do I need?
Experience with technologies such as Python, SQL, Kafka, Java, Scala, Spring Boot, Azure Synapse, Cosmos DB, and Git
Hands-on experience with DevSecOps pipelines, particularly Jenkins and CI/CD practices
Experience designing for cloud platforms, including serverless architectures, preferably on Azure
Familiarity with Azure Synapse, Azure Data Lake Services, Azure Event Hubs, Azure Cosmos DB, Snowflake and Teradata platforms.
A background in software engineering and experience with agile methodologies and tools such as Jira and Confluence
Expert-level understanding of data modelling and data warehousing concepts
Experience in AI engineering and GenAI delivery, including leading end-to-end delivery of AI/GenAI solutions—from discovery and design through deployment and production support.




Able to build and operationalise GenAI using modern patterns (prompting, RAG, agents/tool use) with appropriate guardrails.
Experience integrating AI capabilities into enterprise platforms and cloud environments, ensuring performance, resilience, security, and cost-effective scaling.
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 you 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!
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.
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📌 Data Engineer (Ai Adoption) (Sydney)
🏢 Westpac Group
📍 Sydney