We’re the largest and most advanced Data Engineering teams in the country. You are determined to stay ahead of the latest Cloud, Big Data and Data warehouse technologies. Together we can build tomorrow’s bank with world class engineering

Do work that matters

We’re building tomorrow’s bank today and that takes creative, diverse engineers who want to push boundaries, work at scale, and solve complex data‐driven challenges that matter.

As a Staff Data engineer with expertise in data engineering, you’ll work at the forefront of Product Control technology, delivering critical solutions that support the Bank’s global ambitions.

If you’re motivated by scale, complexity, and purpose, this role is built 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 technology to solve the Banks and customers most complex data‐centric problems.

See yourself in our team

This role sits within the Financial Services & Control Crew, where we design and deliver technology solutions that ensure the Banks financial outcomes.

As a Staff Data Engineer, you’ll be an integral member of our Engineering practice. Your role will be to lead and guide a team of engineers collaborating across a wide range of business and technical stakeholders to deliver a transformative and strategic data platform initiative to meet current and future requirements.

Roles & Responsibilities

Design, build and deliver a new cloud data solution to transform our Product Control technology requirements

Lead the design and delivery of cost‐effective, scalable data solutions aligned with strategic goals that meet performance, security and operational requirements. Drive solution architecture decisions ensuring alignment with enterprise architecture principles and business priorities

Engineer robust data product assets and pipelines in AWS (S3, Glue, Iceberg, Kinesis, Airflow, Sagemaker, Redshift) that integrate with other applications including SaaS reporting applications eg. Axiom Provide technical data governance and risk management, Lead a team of data engineers providing technical guidance, reviewing work and mentoring team members to deliver high‐quality data products

Define and implement engineering standards, including data modelling, ingestion, transformation, and egression patterns and reviews

Collaborate across teams to ensure secure, effective, and well‐documented solution.



Learn and contribute to continuous improvement initiatives within the team.

We Are Interested In Hearing From People Who

Are experienced in designing, building and delivering “greenfield” data solutions in AWS Cloud using cloud native technologies that produce data products or data assets with proper data quality assurance and security controls. Are passionate technology leaders who still love being hands‐on, designing, problem solving and taking ownership for technology challenges

Have strong solution design capabilities, stakeholder engagement and leading technical decisions

Have excellent verbal and written communication skills

Possess commendable experience in consistently driving cost effective and technologically feasible solutions, while steering solution decisions across the group, to meet both operational and strategic goals is essential. Provides thought leadership and contributes to the design of technical solutions and patterns, including data security and data management. Can provide technical leadership and mentor other engineers in Agile teams

Have an ability to engage, manage engineers, internal stakeholders and external suppliers

Have a problem‐solving mindset with a focus on automation and continuous process improvement

Skills & Experience

We use a broad range of tools, languages, and frameworks. We don’t expect you to know them all but experience or exposure with some of these (or equivalents) will set you up for success in this team.

Extensive experience in designing, building, and delivering enterprise-wide data ingestion, data integration and data pipeline solutions

Strong Data Architecture expertise including different data modelling techniques and design patterns (conceptual, logical, physical, semantic is preferred) Strong knowledge of data governance such as data lineage, technical metadata. data quality and reconciliation

Ability to drive platform efficiency through automation and AI capabilities AWS Data Stack: EMR, Glue, Redshift, Athena, S3, Lambda, ECS Data Orchestration & Pipelines: Airflow, Dataform Data Formats & Modelling: Iceberg, JSON, XML, CSV, Data Modelling Programming & DevOps:



Python, SQL, Git, GitHub Actions, Unix shell scripting ETL & Ingestion: File ingress/egress solutions in AWS Security and Observability: DevSecOps, Artifactory, Observability tooling

Design: solution design and technical specifications documented in Confluence Testing & Automation: test automation frameworks, Jupyter Notebooks CI/CD Tools: GitHub Actions, Team City, Jenkins, Octopus Demonstrate expertise in design patterns and data modelling frameworks

Proficient in SQL scripting, writing complex SQLs for building data pipelines

Proficient with Postgres Familiarity with data warehousing and build experience in Teradata, Oracle Experience in visualisation tools such as PowerBI, Tableau Good automation skills in areas such as testing, data ingestion, APIs, file transfers

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 flexible work locations. 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. We’re hiring engineers from across all of Australia and have opened technology hubs in Melbourne and Perth. We really love working here, and we think you will too.

We support our people with the flexibility to balance where work is done with at least half their 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 in the role you’re interested in.

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Advertising End Date: 08/08/2026

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📌 Staff Data Engineer (AWS, Postgres) (City of Sydney)
🏢 Commbank
📍 City of Sydney