Senior Data Engineer (Snowflake, dbt, IBM Streamsets) – 12 Months Fixed Term Contract
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Senior Data Engineer (Snowflake, dbt, IBM Streamsets) – 12 Months Fixed Term Contract
Location
Sydney CBD Area
Experience
Senior
Posted
Jul 30, 2026
Apply by
August 16, 2026
Applicants
0
Early applicantEasy applyContractHybrid
Job Description
Senior Data Engineer (Snowflake, dbt, IBM Streamsets) – 12 Months Fixed Term Contract
See yourself in our team
Financial Crime Compliance (FCC) is a team of over 190 professionals and is an integral part of CBA’s Group Risk Function. FCC is accountable for the development, implementation and ongoing governance of the Group’s financial crime compliance program. This includes driving the Group’s approach to managing Anti-Money Laundering/Counter Terrorist Financing (AML/CTF), Sanctions, Anti-Bribery and Corruption (ABC) and Anti-Tax Evasion (ATE) risks and obligations.
Do Work That Matters
As a Senior Data Engineer, you will be part of a specialist engineering team reporting to the Chapter Lead, Data Engineering. While this role is focused on supporting CBA’s New Zealand-based subsidiary (ASB), it operates within the broader financial crime advisory team.
In this role, you will support ASB in delivering technology and process improvement initiatives to strengthen financial crime detection and prevention capabilities. This includes ensuring compliance with regulatory obligations and contributing to strategic reforms across financial crime risk management, including Australian reforms and AUSTRAC expectations.
In this role, you will:
- Support ingestion patterns that move scheduled extracts and upstream system data into transaction monitoring solutions.
- Work across Snowflake, dbt and IBM StreamSets to support cloud-to-on-prem data movement and transformation patterns.
- Build and support data pipelines for ingestion, transformation, data movement and associated testing.
- Help establish load assurance, data quality and data control patterns across the data flow.
- Partner with engineers, database specialists and delivery teams to support transformation logic, scripting and orchestration where required.
- Contribute to delivery outcomes where requirements may evolve across on-prem, Snowflake and Oracle-integrated patterns.
- Support practical, reusable engineering approaches that reduce friction and help teams deliver quickly and safely.
We’re interested in hearing from people who:
Are experienced data engineers who enjoy building reliable pipelines, working through complex data requirements and collaborating across technology and business teams. You’ll bring strong data engineering foundations, practical delivery experience and the curiosity to work across both modern and existing platforms.
- Experience designing, building or supporting end-to-end data pipelines across ingestion, transformation and data movement.
- Strong SQL skills and experience working with cloud data platforms, ideally Snowflake.
- Hands-on experience with dbt for data transformation and modelling.
- Exposure to IBM StreamSets.
- Understanding of data quality, load assurance, controls and testing for data pipelines.
- Ability to work with ambiguous requirements, identify gaps and help shape fit-for-purpose data solutions.
- Confidence collaborating with engineers, SMEs and database teams to support delivery across different data patterns.
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 this sounds like you, we’d love to hear from you.
If you're already part of the Commonwealth Bank Group (including Bankwest, x15ventures), you'll need to apply through [Sidekick](https://sidekick.hr.cba) 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.
Advertising End Date: 15/08/2026
Key Responsibilities
- Design, build, and maintain scalable data pipelines and data products
- Develop and optimize data ingestion, transformation, and integration processes
- Work with large and complex datasets across multiple platforms and technologies
- Contribute to data modeling activities including conceptual, logical, and physical models
- Ensure data solutions are reliable, secure, and aligned with engineering standards
- Collaborate with cross-functional teams to understand requirements and deliver solutions
- Participate in agile delivery processes from ideation through to implementation
- Apply best practices in coding, testing, and deployment to ensure high-quality outcomes
- Continuously improve data engineering practices and platform capabilities
Skills Required
ScalaJavaPythonSQLSparkHadoopKafkaSqoopMapReduceAWSEMRGlueS3KinesisRedshiftStep FunctionsData ModelingData VaultKimball3NFTeradataOracleProblem solvingAnalytical skillsCommunicationCollaborationAb InitioGDECo>Operating SystemData WarehousingETLFinancial Services Domain KnowledgeFinancial Crime Domain Knowledge
Benefits
- Flexible working options
- Hybrid work model
- Career development opportunities
- Varied start and finish times
- Part-time arrangements
- Job sharing
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