CO
CommBankStaff Data Engineer
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Before you apply
LocationSydney CBD Area; Melbourne, VIC - 435 Bourke Street
Typefull-time
SeniorityLead
Company size10,000+ people
PostedOct 22, 2026 · 2w ago
Verified live2d ago
At a glanceSummarised by Seekless from the posting.
Strong experience with AWS data services (S3, EMR, Glue, Lambda, Redshift, SageMaker or comparable)
Strong experience with Snowflake, enterprise-scale data platforms, data products or data marketplace patterns
Strong experience with Python and PySpark for distributed data processing
Experience designing and operating batch and streaming pipelines using Airflow, Spark and Glue
Experience with CI/CD, automated testing and infrastructure-as-code across the complete delivery lifecycle
Experience with observability, monitoring and reliability engineering for production data platforms and pipelines
Advanced SQL and strong experience with relational database technologies
Technical leadership across architecture and design, including mentoring engineers and influencing engineering standards across teams
Skills
AWS
Snowflake
Python
PySpark
Spark
Airflow
AWS Glue
S3
EMR
Lambda
Redshift
SageMaker
SQL
Staff Data Engineer – Payments Technology
Sydney or Melbourne location
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Shape scalable data platforms and engineering standards across one of CommBank’s most critical technology domains.
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Build trusted data products and pipelines with AWS, Snowflake, Python and modern distributed data technologies.
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Influence how Payments data is engineered, operated and made available for reuse across the bank.
Do Work That Matters
Payments runs and evolves one of CommBank’s most important customer and operational flows, where resilience, safety and disciplined engineering are fundamental. Within Payments and Enterprise Transformation, the focus is also on connecting platforms, data, controls and transformation so change can be delivered with better outcomes for customers.
As a Staff Data Engineer, you’ll provide hands-on technical leadership for the data platforms, data products and pipelines that support Payments. You’ll solve complex engineering problems at scale, influence architecture and engineering standards across squads, and help create reliable, reusable data capabilities.
There is meaningful modernisation underway. Payments has already delivered a priority data product through Marketplace as part of work testing CommBank’s enterprise data model and the patterns needed to scale trusted, reusable data products.
See yourself in our team
You’ll work with engineers, architects, product teams and data consumers to design and evolve modern data capabilities for Payments. Your focus will span cloud data engineering, distributed processing, batch and streaming pipelines, data platform patterns and production reliability.
As a Staff Data Engineer, you will:
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Set technical direction for complex data engineering initiatives and influence architecture and standards across multiple squads.
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Design, build and evolve scalable batch and streaming data pipelines, using technologies such as Spark, Airflow and AWS Glue.
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Build cloud-native data solutions across AWS, including services such as S3, EMR, Glue, Lambda, Redshift and SageMaker.
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Engineer high-quality data products and help evolve enterprise data platform and data marketplace patterns.
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Lead engineering practices across testing, CI/CD, infrastructure-as-code, observability and production reliability.
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Establish patterns for data quality, resilience, performance and maintainability across distributed data workloads.
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Mentor engineers, support technical decision-making and raise data engineering capability across teams.
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Partner with Architecture, Product, Security and data consumers to translate complex requirements into pragmatic engineering solutions.
We’re interested in hearing from people who:
You’re an experienced data engineer with deep technical capability and a track record of influencing engineering beyond your immediate team. You enjoy solving difficult data problems, setting engineering direction and building platforms that teams can operate confidently at scale.
You’ll bring strong experience across several of the following:
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AWS data services, particularly S3, EMR, Glue, Lambda, Redshift, SageMaker or comparable cloud technologies.
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Snowflake, enterprise-scale data platforms, data products or data marketplace patterns.
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Python and PySpark, with strong experience in distributed data processing.
•
Designing and operating batch and streaming pipelines using technologies such as Airflow, Spark and Glue.
•
CI/CD, automated testing and infrastructure-as-code, with an engineering mindset covering the complete delivery lifecycle.
•
Observability, monitoring and reliability engineering for production data platforms and pipelines.
•
Advanced SQL and strong experience with relational database technologies.
•
Technical leadership across architecture and design, including mentoring engineers and influencing engineering standards across teams.
If this opportunity excites you, apply today.
Working with us:
Legal
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.
Hiring process
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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