Commonwealth Bank of Australia
Staff Data Engineer
AI in this role
Design and engineer robust data solutions and large-scale data platforms leveraging Hadoop, AWS, and generative AI technologies.
Organization :- At CommBank, we never lose sight of the role we play in other people’s financial wellbeing. Our focus is to help people and businesses move forward to progress. To make the right financial decisions and achieve their dreams, targets, and aspirations. Regardless of where you work within our organisation, your initiative, talent, ideas, and energy all contribute to the impact that we can make with our work. Together we can achieve great things.
Job Title :- Staff Data Engineer
Location : - Bangalore
Business & Team :-
Retail Technology is a centre of excellence within the Retail Banking Digital space and plays an integral part in the purpose and success of CommBank. We are responsible for delivering an exceptional customer experience across all digital touch points.
Within Retail Technology, you’ll be part of HomeBuying Technology unit which engineer the applications underpinning our retail home lending business. The team is responsible for delivering amazing experiences and exceptional end-to-end capabilities to our customers through the multiple channels such as digital, branch and broker/third party.
Our platforms and frameworks enable outstanding design and simple, intuitive features used by millions of people. We’re constantly striving to be the best in digital, pushing the boundaries to provide an unrivalled, personalised user experience across every product.
Our team is collaborative, supportive and keen to share knowledge. We emphasise open communication, quality work and a culture of excellence. Here you’ll experience flexibility, great rewards and the opportunity to drive your own career growth. We’re dedicated to growing our people and encourage you to follow your thirst for knowledge across CommBank’s diverse tech stack.
Essential Skills:
- Experience: 12+ years of industry experience, preferably in complex Datawarehouse domain
- A solid technical foundation in diverse technologies as well as a track record of leading high-performing engineering teams.
- Experience with technologies like: - Hadoop (Spark/Scala), Teradata, DataStage, Unix, AWS, GEN AI etc
- Excellent understanding of large scale distributed systems, microservices and cloud technology
- Knowledge on public cloud engineering (AWS/Azure) and experience using Cloud native capabilities (preferred)
- Knowledge of DevSecOps best Practices with CI/CD tools, Observability, and processes for Software Delivery Lifecycle
- Experience in troubleshooting complex technical issues involving multiple system components
- Excellent interpersonal, coaching, and stakeholder management skills.
- Experience with agile delivery models, including squads, chapters, and tribes.
- Good understanding of building Data Pipelines, release process and operations support framework.
- Experience with GitHub or any preferred version control systems.
- Certifications such as AWS Certified Data Analytics/Engineer/Developer – Specialty or AWS Certified Solutions Architect
Good to Have
Experience in working with Banking Domain
Hands on Experience with Snowflake and DBT
Education Qualification :-
Bachelor’s degree or Master’s degree in Engineering in Computer Science/Information Technology
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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Advertising End Date: 22/10/2026How we rate this
Staff Data Engineer at Commonwealth Bank of Australia rates 65 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.
Works on AI. The daily work is on AI products, without building the model.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.
Prepare for this job
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Skills and AI tools this role asks for
Questions you could be asked
- Tell me about a project where data engineering was part of your work. What did you do?
- Tell me about a project where distributed systems was part of your work. What did you do?
- Tell me about a project where microservices was part of your work. What did you do?
- Tell me about a project where cloud was part of your work. What did you do?
- Walk me through how you've used Hadoop in your day-to-day work.
Adapt your resume
- List these exact terms on your resume: Data Engineering, Distributed Systems, Microservices, Cloud, and Hadoop. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them — a tool named with nothing behind it rarely survives a human read.
- Show where AI is part of your daily process, not a one-off project — this role expects it to be a running habit.
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