Build modern data platforms that power analytics, AI, fraud detection and customer intelligence
Work with cloud-native technologies including Snowflake, AWS and Python to deliver enterprise-scale data solutions
Join a collaborative engineering team committed to innovation, automation and engineering excellence
Do work that matters:
As a Senior Data Engineer within our Data Hosting Platform Engineering team, you'll design, build and optimise modern data solutions that support analytics, AI, fraud detection, customer intelligence and regulatory outcomes.
This is an opportunity to work on large-scale engineering challenges, cloud-native platforms and data products that deliver real business impact. You'll be empowered to innovate, automate and continuously improve while collaborating with talented engineers who are passionate about building high-quality solutions.
You will:
Build scalable enterprise data products and pipelines that power critical business capabilities
Design and develop cloud-native data solutions using Snowflake and AWS
Deliver trusted, analytics-ready datasets that enable data-driven decision making
Improve platform performance, resilience and observability
Drive automation and engineering best practices across the data lifecycle
Partner with engineers, architects and business stakeholders to solve complex problems
Support the adoption of modern engineering approaches and AI-assisted development
Mentor colleagues and contribute to a culture of learning and continuous improvement
See yourself in our team:
You will join the Data Hosting Platform Engineering team, helping build secure, scalable and highly available data platforms that support the future of banking.
We're interested in hearing from people who:
Have experience working with Oracle Exadata, including performance optimisation, high-volume workloads and integration with Snowflake-based data platforms
Have strong experience building modern data engineering solutions at enterprise scale
Enjoy solving complex data challenges and designing high-quality data products
Bring expertise in Snowflake, SQL and Python
Have experience building ETL/ELT pipelines and data integration solutions
Understand cloud-native engineering and AWS-based platforms
Value engineering excellence, automation and continuous improvement
Thrive in collaborative Agile teams and enjoy sharing knowledge with others
Are curious, adaptable and passionate about improving how data creates value.
Technical Experience
Data Engineering
Snowflake
SQL
Python
Spark (preferred)
Data modelling
ETL/ELT development
Programming
Python
Java (preferred)
Shell scripting
REST APIs
Data Platforms
PostgreSQL
Oracle
Snowflake
Performance tuning
Query optimisation
Cloud & Engineering
AWS
Docker
GitHub
CI/CD
Quality Engineering
Data validation
Automated testing
Data reconciliation
Performance testing
Production support
Working with us
At CommBank, we're committed to creating an accessible, inclusive and respectful workplace. If you require support or adjustments, please let us know. We welcome applications from people of all backgrounds and we're particularly committed to making a positive difference for Aboriginal and/or Torres Strait Islander Peoples. For support please contact 1800 989 696.
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.
We're aware of some accessibility issues on this site, particularly for screen reader users. We want to make finding your dream job as easy as possible, so if you require additional support please contact HR Direct on 1800 989 696.
Commonwealth Bank Darling, Victoria, AUS Office
Darling, Australia
