About the Role
As a Senior Data Engineer within the Data Hosting Platform Engineering team, you'll design, build, and optimize modern data solutions supporting analytics, AI, fraud detection, customer intelligence, and regulatory outcomes. This role involves working on large-scale engineering challenges, cloud-native platforms, and data products that deliver significant business impact, with opportunities for innovation, automation, and continuous improvement.
Responsibilities
- 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.
Requirements
- Experience working with Oracle Exadata, including performance optimization, high-volume workloads, and integration with Snowflake-based data platforms.
- Strong experience building modern data engineering solutions at enterprise scale.
- Expertise in Snowflake, SQL, and Python.
- Experience building ETL/ELT pipelines and data integration solutions.
- Understanding of 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.
- Curious, adaptable, and passionate about improving how data creates value.
Skills
- Data Engineering
- Snowflake
- SQL
- Python
- Spark
- Data modelling
- ETL/ELT development
- Programming
- Java
- Shell scripting
- REST APIs
- Data Platforms
- PostgreSQL
- Oracle
- Performance tuning
- Query optimisation
- Cloud & Engineering
- AWS
- Docker
- GitHub
- CI/CD
- Quality Engineering
- Data validation
- Automated testing
- Data reconciliation
- Performance testing
- Production support
Location
- Remote
Work Type
- Full-time
Experience Level
- Senior
About the Company
- 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.
- At CommBank, we're committed to creating an accessible, inclusive and respectful workplace.
- 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.
Equal Opportunity
- We're committed to creating an accessible, inclusive and respectful workplace.
- 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.
