Data Engineer (AI Adoption)

• Sydney based role 
• 3 days in-office required 
• Banking/Financial services experience required 

We are seeking a skilled Data Engineer to join our Data Delivery line of business within Enterprise Platforms Engineering (EPE). This role will combine hands on data engineering with AI adoption strategies and work closely with architects, engineers, and data/AI stakeholders to deliver scalable, secure, and resilient data solutions that create real business value.

You will combine strong 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. 

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. This role offers the opportunity to combine deep technical leadership with real business impact, while working in an environment that values accountability, innovation, and disciplined delivery. 

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 problem-solving skills, technical expertise, and a product mindset, along with a genuine appetite to learn and grow. You will thrive in our agile, customer-centric, and highly collaborative team at Westpac as we build the next generation of data solutions and services.

• →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

• 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. 

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.