Job Description
What’s the Role?
The Senior Data Engineer designs, builds, and supports a cloud‑native data platform that underpins critical banking and financial services, including AI and machine‑learning capabilities.
This role combines hands‑on engineering with technical leadership, working closely with architects, engineers, and data/AI stakeholders to deliver scalable, secure, and resilient data solutions that create real business value.
Key Responsibilities
- Design, build, and support cloud‑native, event‑driven data platforms and APIs
- Develop and operate scalable data pipelines and storage solutions on AWS
- 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
- Enable MLOps practices such as reproducible pipelines, data versioning, and monitoring
- 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?
Technical Skills & Experience
- Strong hands‑on experience with PySpark and Java
- Extensive experience on AWS, including AWS Glue and DynamoDB
- Experience building event‑driven architectures (Kafka) and RESTful APIs
- Strong knowledge of data modelling, distributed data processing, and data quality
- Experience supporting ML/AI data lifecycles, including feature engineering and RAG concepts
- Solid understanding of CI/CD, DevOps practices, and SDLC principles
Domain Experience
- Proven experience delivering data solutions in banking, financial services, or regulated environments
- Strong understanding of data governance, privacy, resilience, and regulatory expectations
- Awareness of Responsible AI, model risk, and auditability requirements
Ways of Working
- Ownership‑driven, proactive, and delivery‑focused
- Collaborative team player who can influence without ego
- Comfortable challenging assumptions to improve outcomes
- Strong communicator able to explain complex concepts to technical and business stakeholders
Why join us?
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 your 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 more information and contact details on our FAQs and how to contact us page, under the ‘Diversity, sustainability and flexibility’ section.
#LI - Hybrid.