Principal Data Engineer

Principal Data Engineer

• You are passionate about solving complex problem with the latest tech

• We're the largest and most advanced Data Engineering teams in the country.

• Together we build tomorrow’s bank with world class engineering

Do work that matters

We're building tomorrow's bank today — and that takes creative, diverse engineers who want to push boundaries, work at scale, and solve complex data‑driven challenges that matter.

As a Principal Data engineer with expertise in data engineering, you’ll work at the forefront of regulatory reporting technology, delivering critical solutions that support regulatory compliance and the Bank’s global ambitions.

If you’re motivated by scale, complexity, and purpose this role is built for you. Here, you’ll be part of a team of engineers going above and beyond to improve the standard of digital banking using the latest technology to solve the Banks and customers complex data-centric problems.

See yourself in our team

This role sits within the Capital, Climate & Regulatory Reporting Crew, where we design and deliver technology solutions that ensure the CBA Groups compliance to Regulatory capital, Climate disclosures and Regulatory reporting through the design, development, maintenance and optimization of the regulatory calculations and solution.

As a Principal Data Engineer, you’ll be an integral member of our Engineering practice. Your role will be to lead and guide a team of engineers collaborating across a wide range of business and technical stakeholders to deliver a transformative and strategic data platform initiative to meet current and future crew requirements

We are seeking an outstanding Principal Data Engineer to join our team and help shape the reporting solutions that we are building

As a Principal Data Engineer, you -

• Work with the team to understand our customers' core business objectives and deliver quality data centric solutions within committed timeframes

• Contribute to thought leadership enabling analytics teams to deliver world class data centric solutions and analytics by championing sustainable and re-useable data assets

• Design and build group data assets by integrating diverse data from internal and external sources.

• Help to promote best in class coding standards and practices to ensure high quality and minimum risk.

• Collaborating and communicating with business and delivery stakeholders and working without supervision.

• Identify and escalate Technical Debt through simple processes to support effective planning and risk management.

• Risk Mindset – All employees are expected to proactively identify and understand, openly discuss and act on current and future risks.

• Able to build solutions that are fit for purpose, perform well with large data volume and complex data transformation rules, and reliable to operate

• Understanding of the development and release cycle following Change Management processes.

• Creative problem solver, with open thinking to generate and support new or better ways of doing things.

• Strong capability and experience with modern engineering practices and techniques

• Experience with Agile working practices is beneficial

• Prior experience working in Financial Services industry would be essential.

We're interested in hearing from people who

• Can work with distributed teams and building high performing teams

• Successfully advocated for new technology approaches, with the experience to understand the architectural integration of new software solutions

• Create a culture focussed on accelerating the adoption of new and emerging technologies.

• Show a high level of emotional intelligence when leading teams and influencing business leaders.

• Can Influence the future of the company’s technology estate every day

Tech skills:

We use a broad range of tools, languages, and frameworks. We do not expect you to know them all but experience or exposure with some of these, or a willing to learn these skillsets (or equivalents) will set you up for success in this team!

• Strong experience in relevant field.

• Continuously improve the data products with best engineering solutions.

• Expert in ETL framework design and build for cloud native technologies like AWS, Snowflake and so on.

• Prior experience in design & building data platform for cloud native cloud native technologies like AWS, Snowflake and so on.

• Prior experience in design & building financial reporting data products would be highly regarded.

• Strategize, Design and Implement (hands on) highly reliable and scalable data pipelines and data platforms with comprehensive test coverage on AWS Cloud.

• Build and implement data pipelines in distributed data platforms including warehouses, databases, data lakes and cloud Lake houses to enable data predictions and models, and reporting and visualization analysis via data integration tools and frameworks.

• RDBMS Experience on any prominent Database is required with strong SQL expertise.

Working with us:

Our people bring their diverse backgrounds and unique perspectives to build a respectful, inclusive, and flexible workplace with flexible work locations. One where we’re driven by our values, and supported to share ideas, initiatives, and energy. One where making a positive impact for customers, communities and each other is part of our every day.  

Here, you’ll thrive. You’ll be supported when faced with challenges and empowered to tackle new opportunities. We’re hiring engineers from across all of Australia and have opened technology hubs in Melbourne and Perth. We really love working here, and we think you will too.

We support our people with the flexibility to balance where work is done with at least half their time each month connecting in office. We also have many other flexible working options available including changing start and finish times, part-time arrangements and job share to name a few. Talk to us about how these arrangements might work in the role you’re interested in.

If this sounds like the role for you then we would love to hear from you. Apply today!