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-Manyata Tech Park
Business & Team: Business Banking - EBB
We're building tomorrow’s bank today, which means we need creative and diverse engineers to help us redefine what customers expect from a bank. Envisioning new technologies that are still waiting to be invented and reimagining products that support our customers and help build Australia’s future economy.
CommBank is recognised as leading the industry in IT and operations with its world-class platforms and processes, agile IT infrastructure, and innovation in everything from payments to internet banking and mobile apps. Our Software team are the brains behind Australia’s number one banking app, Netbank, Cardless Cash, Comm Sec Pocket and Spend Tracker. We go beyond a passion for web and mobile development, creating reliable APIs at a unique scale in Australia. And you could be a part of that journey.
Impact & Contribution:
The CBA technology unit delivers the best digital banking services to Commonwealth Bank customers and to do so is responsible for digital delivery, group data and analytics, technology and technology infrastructure, cyber, fraud, physical security and business resilience for all divisions across CBA. It is also dedicated to delivering the best workplace technology experience for our over 53.000 people across CBA and focused on providing the latest tools, technology, and resources to enhance the way we work together and empower our people to achieve more for our customers.
As Staff Data Engineers at CBA provide deep technical leadership by designing and governing scalable, secure data platforms that power enterprise analytics, real‑time data, and AI use cases. They act as force multipliers—setting engineering standards, mentoring teams, and shaping data architecture to ensure trusted, future‑ready data foundations aligned to the bank’s strategic priorities.
Your role will report into the Engineering Manager under EBB
Roles & Responsibilities:
Understand customers’ core business objectives and translate them into robust, end-to-end data-centric solutions that deliver measurable business outcomes.
Lead the definition, design and execution of data engineering and ETL strategies, including data staging, architecture, integration patterns and internal and external application interfaces.
Design and develop highly reliable, secure and scalable data pipelines, platforms and data products, with comprehensive test coverage and strong engineering practices.
Design technical solutions and data consumption patterns for complex business requirements, ensuring solutions are robust, secure, highly available and aligned with architectural and engineering standards.
Participate across the full lifecycle of agile delivery, from ideation and planning through implementation, ensuring technical deliveries align with engineering direction, strategy and approved delivery frameworks.
Partner with business, operational, infrastructure, product and engineering teams to improve the scalability and reliability of services while ensuring compliance with organisational guidelines, requirements and industry standards.
Provide data engineering expertise and technical leadership across platforms, products and delivery teams, influencing stakeholders and guiding strategic data programs and technology decisions.
Drive engineering maturity and continuous improvement through reusable frameworks, tooling, automation and improvements to engineering and delivery practices.
Provide thought leadership, mentorship and capability uplift across engineering teams, contributing to knowledge sharing through technical discussions, documentation and engineering communities.
Take ownership of nominated technical assets, roadmaps and technical direction, and participate in On-Call rosters from time to time to resolve critical issues and ensure the reliable operation of systems, products and platforms.
Essential Skills:
We use a broad range of tools, languages, and frameworks. We don’t expect you to know them all but experience or exposure with some of these (or equivalents) will set you up for success in this team:
10+ years of experience in design or development in Analytics and Data Warehousing projects.
Experience in building end-to-end solutions with the Big data platform, Spark or scala programming, Apache Flink, and Kafka for real-time and batch data.
Experience in AWS ways of designing and building reliable and scalable data pipelines in AWS cloud Ecosystem.
Solid experience in ETL pipeline building with spark or scala programming framework with knowledge in developing UNIX Shell Script, Oracle SQL/ PL-SQL.
Strong in Python/Pyspark for data manipulation, API integration, and automation, alongside Scala.
Experience in building AI/GenAI powered engineering applications is highly recommended.
Experience in utilizing GenAI framework (Lang chain, Llama, Hugging Face) and automation applications is highly desirable.
Experience with Oracle SQL database programming, SQL performance tuning, and relational model analysis.
Experience in Advanced SQL for optimizing complex queries, combined with sophisticated data modeling (dimensional modeling for cloud warehouses).
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.
Experience in data observability handling tools to monitor data quality and pipeline performance in real-time.
Experience in AIML integrations like designing infrastructure for AI, including managing Vector Databases and embeddings in a plus.
Good to have certified in any of the Cloud Data Engineering (ex: AWS certified Data Engineering etc.
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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Skills Required
- 10+ years of experience designing or developing analytics and data warehousing projects
- Experience building end-to-end big data solutions using Spark or Scala, Apache Flink, and Kafka
- Experience designing and building reliable, scalable data pipelines in AWS
- Experience building ETL pipelines with Spark or Scala
- Knowledge of UNIX shell scripting and Oracle SQL or PL/SQL
- Strong Python or PySpark skills for data manipulation, API integration, and automation, alongside Scala
- Experience with Oracle SQL database programming, SQL performance tuning, and relational model analysis
- Experience with advanced SQL optimization and dimensional data modeling for cloud warehouses
- Extensive experience with Teradata data warehouses and Cloudera Hadoop
- Proficiency with enterprise analytics, BI, data warehousing, and ETL technologies including Teradata Control Framework, Tableau, OBIEE, SAS, Spark, and Hive
- Experience using data observability tools to monitor data quality and pipeline performance in real time
- Bachelor's or master's degree in Computer Science, Information Technology, or engineering
- Experience building AI or GenAI-powered engineering applications
- Experience with GenAI frameworks including LangChain, Llama, or Hugging Face
- Experience designing AI infrastructure, including vector databases and embeddings
- Cloud data engineering certification, such as AWS Certified Data Engineer
Commonwealth Bank Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Commonwealth Bank and has not been reviewed or approved by Commonwealth Bank.
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Leave & Time Off Breadth — The bank offers additional Life Leave, the option to purchase up to four extra weeks, pet leave, and paid volunteering leave alongside flexible-working options. Public materials indicate these leave features compare well within Australian banking.
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Parental & Family Support — Permanent employees can access up to 18 weeks of paid parental leave, and superannuation is paid for up to 34 weeks of unpaid parental leave. These provisions extend support for new parents beyond standard settings.
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Wellbeing & Lifestyle Benefits — Access includes CBHS Health Fund, Fitness Passport, a 24/7 wellbeing platform with telehealth, an Employee Assistance Program, and employer‑paid income protection for up to two years, alongside staff banking perks and share plans. This combination provides day‑to‑day value across health, protection, and financial perks.
Commonwealth Bank Insights
What We Do
Australia’s leading provider of financial services including retail, premium, business and institutional banking, funds management, superannuation, insurance, investment and sharebroking products and services. We are a business with more than 800,000 shareholders and over 52,000 employees. We offer a full range of financial services to help all Australians build and manage their finances.
