Commonwealth Bank of Australia
Staff Data Engineer
Commonwealth Bank of Australia is hiring a Staff Data Engineer in Bengaluru, India. Level rates it ; you can apply on Commonwealth Bank of Australia.
Level's read on this job
- Little AI ●○○○ is how Level rates this data engineer role: aI is not part of the work.
- Tools and skills the posting cites include AWS, Snowflake and dbt.
- Level classifies it as a senior role.
- Level lists 190 other open roles at Commonwealth Bank of Australia.
AI in this role
Design and implement scalable data pipelines and data platforms on AWS using Snowflake and dbt.
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 organization, 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 - Manyata Tech Park
Business & Team: Bank west
Impact & Contribution:
As a Staff Data Engineer, you are:
- Empathetic and self-aware. You think and care deeply about how you might interact with your team, stakeholders and customers.
- A Mentor, harboring a passion to nurture, grow and influence those around you to think differently and always maintain a growth mindset.
- Innovative. You continually seek to improve the status quo for our customers. You inspire your team to do the same and remain resilient through change.
- Promoting quality and delivering at pace through the maximization of automation is one of the key focus areas of the role.
- Ownership, you take responsibility for the software design, engineering processes and quality standards of yours as well as your team members as you work in a collaborative environment.
Roles & responsibilities:
- Continuously improve the data products with best engineering solutions.
- Strategize, Design and Implement (hands on) highly reliable and scalable data pipelines and data platforms with comprehensive test coverage on AWS Cloud using Snowflake and dbt cloud.
- Build and implement data pipelines in distributed data platforms including warehouses, databases, data lakes and cloud Lake houses to enable data predictions and models, and reporting and visualization analysis via data integration tools and frameworks.
- Work with the team to understand our customers' core business objectives and deliver quality data centric solutions within committed timeframes
- Contribute to thought leadership enabling analytics teams to deliver world class data centric solutions and analytics by championing sustainable and re-useable data assets
- Design and build group data assets by integrating diverse data from internal and external sources.
- Help to promote best in class coding standards and practices to ensure high quality and minimum risk.
- Collaborating and communicating with business and delivery stakeholders and working without supervision.
- Identify and escalate Technical Debt through simple processes to support effective planning and risk management.
- Risk Mindset – All Bankwest employees are expected to proactively identify and understand, openly discuss and act on current and future risks.
- Able to build solutions that are fit for purpose, perform well with large data volume and complex data transformation rules, and reliable to operate
- Understanding of the development and release cycle following Change Management processes.
- Creative problem solver, with open thinking to generate and support new or better ways of doing things.
- Strong capability and experience with modern engineering practices and techniques
- Experience with Agile working practices is beneficial
Essential skills:
- 11+ years of experience in relevant field.
- Continuously improve the data products with best engineering solutions.
- Strategize, Design and Implement (hands on) highly reliable and scalable data pipelines and data platforms with comprehensive test coverage on AWS Cloud using Snowflake and dbt cloud.
- Build and implement data pipelines in distributed data platforms including warehouses, databases, data lakes and cloud Lake houses to enable data predictions and models, and reporting and visualization analysis via data integration tools and frameworks.
- RDBMS Experience on any prominent Database is required with strong SQL expertise.
- AWS Data Engineer certification.
- Must have hands-on experience in Development projects using Snowflake, dbt (cloud), AWS, SQL, ETL, Datawarehouse
- AWS (Amazon Web Services) Cloud (working experience with some of the core services EMR, EC2, S3, Auto-scaling, etc.) desirable.
Required skills:
- Strategic thinking, External perspective, Product delivery
- Working with distributed teams, Continuous delivery and Agile practices, People leadership, Building high performing teams
- Development, analysis or testing
Good to have Skills:
- Knowledge on Data Analysis, Banking Domain Experience, PySpark, Github Co-pilot, CI/CD.
- Experience in working within a Data Delivery Life Cycle framework & Agile Methodology.
Education/Qualifications
Bachelor’s degree or Master’s degree in engineering in 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.
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: 29/10/2026How we rate this
Staff Data Engineer at Commonwealth Bank of Australia rates 30 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.
Little AI. AI is not part of the work.
- ●●●● 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. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Also common in data engineer jobs at this level
Pay
- Typical data engineer job
- $150k
This posting doesn't list pay. Use the typical data engineer figure when pay comes up. See data engineer jobs
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 python was part of your work. What did you do?
- Tell me about a project where sql was part of your work. What did you do?
- Tell me about a project where etl was part of your work. What did you do?
- Tell me about a project where data pipelines was part of your work. What did you do?
Adapt your resume
- List these exact terms on your resume: Data Engineering, Python, SQL, ETL, and Data Pipelines. 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.
Want an expert to read your CV for this job?
Free. Send your CV and the role you want next. We reply by email within 2 to 4 business days.
Get new data engineer jobs by email
One email a week with the new data engineer jobs, each rated for how much AI is in the work. No recruiter spam, unsubscribe in one click.
Free. One email a week. Unsubscribe in one click.
Similar roles
Data roles that involve little AI, at other companies.
What kind of AI work fits you?
Answer 12 practical questions in about three minutes. Get a simple profile, the work it points to, and live roles to explore next.
Find my next step