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 Llama, LangChain and Hugging Face.
- Level classifies it as a lead role.
- Level lists 207 other open roles at Commonwealth Bank of Australia.
- The role was posted in the last few days.
AI in this role
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
This role reports to a Chapter Lead (Engineering Manager) and is key member of the team responsible for all development work.
Impact & Contribution:
To ensure the Group achieves sustainable competitive advantage through data & analytics, you will need to play a key role in supporting the BB Tech in executing to the Groups data strategy.
As an Engineer, you will be required to build strong working relationships with key business and stakeholders to improve outcomes, drive engineering standards across the group, identify engineering improvement opportunities to improve our status on risk, compliance, vulnerabilities and general health of our technical solutions, while improving our E2E engineering outcomes to drive better technical outcomes across BB Tech. You will adopt tools and templates used across analytics systems that underpin our data and analytics capabilities for the Group.
Roles & Responsibilities:
- Understand our customers' core business objectives and build end-to-end data centric solutions to address them.
- Lead or participate in the definition, execution and communication of ETL strategy and technical solution.
- Development of data staging, architecture and consuming internal and external application interfaces
- Cooperate with business and operational users, other data management staff and infrastructure teams to ensure adherence to client and company guidelines, restrictions and requirements as well as industry standards.
- Participate in the full lifecycle of agile projects (ideation through implementation)
- Designs technical solutions and consumption patterns for business requirements with increasing complexity.
- Adhere to the Code of Conduct. The Code of Conduct sets the standards of behavior, actions and decisions we expect from our people.
- Produce high quality, sustainable solutions to meet business requirements, leveraging approved delivery frameworks
- Influence and guide stakeholders to ensure that solutions are robust, secure and highly available
- Uplift the quality of technical solutions by applying industry best practice
- Role model continuous improvement mindset in team and project interactions
Essential Skills:
- 7-11 years of experience in design or development in Analytics and Data Warehousing projects.
- Experience in designing and building end-to-end solutions with the Big data platform, Spark or scala programming.
- 8 years of Solid experience in ETL pipeline building with spark or scala programming framework with knowledge in developing UNIX Shell Script, Oracle SQL/ PL-SQL.
- Experience in building data pipelines using AWS services in Cloud Ecosystem.
- Experience in Python and any other programming language is highly recommended.
- Experience in building AI/GenAI powered engineering applications is highly recommended.
- Experience in utilizing GenAI framework (Langchain, Llama, Hugging Face) and automation applications is highly desirable.
- Experience with Oracle SQL database programming, SQL performance tuning, and relational model analysis.
- Experience in ETL Abinitio tools like GDE, Express-IT, Control center, Meta programming is a plus.
- Extensive experience with Teradata data warehouses and Cloudera Hadoop. Proficient across Enterprise Analytics/BI/DW/ETL technologies such as Teradata Control Framework, Tableau, OBIEE, SAS, Apache Spark, Hive
Education Qualification: Bachelor’s in computer science, B. Tech IT, Mathematics, Statistics or equivalent quantitative discipline or comparable industry experience.
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: 29/11/2026How we rate this
Staff Data Engineer at Commonwealth Bank of Australia rates 19 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.
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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
- $147k
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
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- Walk me through how you've used LangChain in your day-to-day work.
- What are the limits of Hugging Face that you've run into, and how did you work around them?
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- List these exact terms on your resume: Llama, LangChain, and Hugging Face. An applicant tracking system matches the wording, not the idea.
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