Senior Data Engineer

cba; Sydney; On-site; AUD 140,000 - 190,000; Full time

Job summary

CommBank Senior Data Engineer role focused on building secure, scalable data platforms powering analytics, AI, fraud detection and customer insights. You will design cloud-native solutions using Snowflake and AWS, delivering analytics-ready datasets for data-driven decision making.

You will join a collaborative team that emphasizes automation, engineering excellence and continuous improvement, with opportunities to mentor others and influence data product strategy within the Data Hosting

Qualifications

• Experience with Oracle Exadata including performance optimisation and high-volume workloads
• Experience building modern data engineering solutions at enterprise scale
• Ability to solve complex data challenges and design high-quality data products
• Expertise with 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
• Thriving in collaborative Agile teams and knowledge sharing
• Curious, adaptable and passionate about extracting value from data

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

Skills

Data engineering

ETL/ELT development

Data modelling

Automation

Observability

Tools

Snowflake

SQL

Python

Spark

PostgreSQL

Oracle

AWS

Docker

GitHub

CI/CD

Java

Shell scripting

REST APIs

Job description

Senior Data Engineer (Snowflake & Cloud Platforms) 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. 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.