Senior Data Engineer (AWS & Snowflake)

Build modern cloud-based data solutions that help detect, monitor and prevent financial crime at scale.

Join one of Australia's most advanced engineering environments, working with AWS, Snowflake and next-generation data platforms.

Help shape the future of data-driven financial crime reporting and insights used across the bank.

Bring your ambition and we'll help you grow, belong and shape what's next in one of Australia's leading engineering organisations.

Do work that matters

As a Senior Data Engineer, you'll join the Engineering Chapter supporting the Financial Crime Reporting & Insights (FCRI) crew.

Our data squads design and build scalable cloud-native data pipelines that power critical financial crime monitoring, reporting and insights capabilities across the bank.

You'll work across modern AWS data technologies including Glue, Redshift, EMR, Iceberg and Snowflake, helping transform complex data into trusted products that support critical business decisions and customer outcomes.

You'll collaborate with engineers, product teams and stakeholders to deliver secure, resilient and high-quality data solutions while contributing to the evolution of our cloud data ecosystem.

See yourself in our team

Be part of the team that helps CommBank make better decisions.

Risk Management partners across the Group to identify, assess and manage risk, protecting our customers, strengthening the bank and enabling sustainable growth.

Join a collaborative team where you'll solve complex challenges, influence strategic decisions, and use data, insights and innovation to make a meaningful impact.

Our Financial Crime Reporting & Insights crew is highly data-driven, with dedicated data squads building the platforms and pipelines that enable critical financial crime products and services.

You'll work alongside experienced engineers in a supportive environment that values innovation, continuous learning and engineering excellence.

We're interested in hearing from people who:

Have experience designing and building cloud-based data pipelines using AWS technologies such as Glue, Redshift, EMR, Athena, S3 and Iceberg.

Have strong data engineering expertise across Python, SQL and Spark.