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 Level.
AI in this role
Design and build scalable data platforms and pipelines to enable analytics, reporting, and AI initiatives at CommBank.
Organization- At CommBank, we never lose sight of the role we play in delivering a brighter future for our customers and supporting our communities. Our focus is to help customers and communities 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 build tomorrow’s bank today.
Role Title – Staff Data Engineer
Business Unit– Corp Tech
Location- Bangalore- Manyata tech Park
Impact and Contributions: We are seeking Staff Data Engineer to design, build, and maintain scalable data pipelines and data platforms that enable analytics, reporting, and data-driven decision-making. You will work closely with data engineers, software engineers, business stakeholders, and data analysts to deliver high-quality, reliable, and secure data solutions.
Key Responsibilities
Technical Leadership
- Provide technical leadership and guidance across data engineering teams.
- Define and drive enterprise data architecture, standards, and best practices.
- Lead the design and implementation of scalable data platforms, pipelines, and frameworks.
- Review solution designs and ensure alignment with architectural principles
Data Platform Engineering
- Design and build highly scalable batch and real-time data processing solutions.
- Develop and maintain robust ETL/ELT pipelines using modern cloud-native technologies.
Cloud & Modern Data Architecture
- Design cloud-native data solutions leveraging AWS services
Governance, Security & Compliance
- Implement data governance, metadata management, lineage, and data quality practices.
AI & Advanced Analytics Enablement
- Build trusted data foundations to support AI, machine learning, and Generative AI initiatives.
Required Skills & Experience
- 10+ years of experience in Data Engineering, Software Engineering, or Platform Engineering.
- Strong programming skills in:Python/Java/Scala
- Strong experience with AWS cloud services.
- Containerization and orchestration using Docker and Kubernetes/EKS
- Data Engineering ToolsApache Spark/Kafka
Education
BE or any Bachelor of Engineering
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: 14/10/2026How we rate this
Staff Data Engineer at Commonwealth Bank of Australia rates 60 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
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
- $146k
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 etl was part of your work. What did you do?
- Tell me about a project where cloud architecture was part of your work. What did you do?
- Tell me about a project where data governance was part of your work. What did you do?
- Walk me through how you've used Python in your day-to-day work.
Adapt your resume
- List these exact terms on your resume: Data Engineering, ETL, Cloud Architecture, Data Governance, and Python. 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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