Commonwealth Bank of Australia

Senior Data Engineer (AWS Cloud)

• You are passionate to stay ahead of the latest AWS Cloud, and Data Lake technologies.
• We're one of the largest and most advanced Data Engineering teams in the country.
• Together we can build state-of-the-art data solutions that power seamless experiences for millions of customers.

Do work that matters:

As a Senior Data engineer with expertise in software development / programming and a passion for building data-driven solutions, you’re ahead of trends and work at the forefront of AWS Cloud and Data warehouse technologies.

Which is why we’re the perfect fit 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 tech to solve our customers’ most complex data-centric problems.

See yourself in our team:

You will be joining our CTO Data Engineering team. We are seeking passionate, cloud savvy, data engineers across diverse levels to help drive our commitments in our Data Strategy and achieve our vision for Commbank.data, a unified, world-class data platform enabling the next generation of AI (Artificial Intelligence) enabled applications.

You will collaborate with industry leaders to drive forward our mission of revolutionising the fintech landscape. As part of our team, you will be empowered to deliver world-class, competitive banking products and services with unparalleled levels of service and reliability.

We support our people with the flexibility to balance where work is done with at least half your 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 for you.

We are seeking people who are:

• Passionate about building next generation data platforms and data pipeline solution across the bank.
• Enthusiastic, be able to contribute and learn from wider engineering talent in the team.
• Ready to execute state-of-the-art coding practices, driving high quality outcomes to solve core business objectives and minimise risks.
• Capable to create both technology blueprints and engineering roadmaps, for a multi-year data transformational journey.
• Can take the lead and drive a culture where quality, excellence and openness are championed.
• Constantly thinking creatively and breaking boundaries to solve complex data problems.

We are also interested in hearing from people who:

• Are data enthusiastic in providing the solutions that source data from various enterprise data platform into data lake, using technologies like Scala, Python, PySpark; transform and process the source data to produce data products, transform and egression to other data platforms like SQL Server, Oracle, Teradata and other cloud platforms.
• Are practiced in building effective and efficient Data Lake frameworks, capabilities, and features, using common programming language (Scala, PySpark or Python), with proper data quality assurance and security controls.
• Demonstrated experience in creating python /scala functions/libraries and use them for the config – driven pipeline generation and delivering optimised enterprise-wide data ingestion, data integration and data pipeline solutions for Data Lake & warehouse platforms.
• Are reliable in building group data products or data assets from scratch, by integrating large sets of data derived from hundreds of internal and external sources.
• Can collaborate, co-create and contribute to existing Data Engineering practices in the team.
• Have experience and responsible for data security and data management.
• Have a natural drive to educate, communicate and coordinate with different internal stakeholders.

Key Skills & Experience:

• Experience in AWS data platforms (Glue, Lambda, Redshift, Athena, Kinesis, EMR).
• Data Processing: Strong expertise in Python, SQL, Spark, Scala and distributed data processing.
• Data Governance & Security: Experience with AWS DataZone, Lake Formation, IAM, encryption.
• Marketplace & APIs: Exposure to AWS Marketplace, API Gateway, and data monetization strategies.
• Automation & CI/CD: Experience with Terraform, CloudFormation, GitOps, and serverless frameworks.
• Performance Optimization: Ability to fine-tune ETL jobs, query performance, and cost efficiencies.

Nice to Have:

• Experience with Snowflake, or Apache Iceberg.
• Knowledge of data product thinking and data mesh principles.

Working with us:

Whether you’re passionate about customer service, driven by data, or called by creativity, a career with CommBank is for you.

Our people bring their diverse backgrounds and unique perspectives to build a respectful, inclusive, and flexible workplace with a flexibility to work from any of our engineering hubs in Sydney. 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. You’ll be empowered to do your best work and be given the choice on when and where that work happens. We really love working here, and we think you will too.

If you're already part of the Commonwealth Bank Group (including Bankwest, x15ventures), you'll need to apply through Sidekick to submit a valid application. We’re keen to support you with the next step in your career.

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Advertising End Date: 19/06/2025