Staff Data Engineer

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: Manyata Tech Park, Bangalore

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: As a Staff Data Engineer, you -

• Design, build, run, and evolve tools, infrastructure, templates, and capabilities for the data science community and engineers to deliver business value.
• Automate infrastructure and environment management through code.
• Collaborate with product owners and platform engineers to design, build, and run platforms that enhance quality, velocity, and safety.
• Develop tools and frameworks to streamline the ML lifecycle, from data ingestion to model deployment and monitoring.
• Implement CI/CD pipelines
• Stay updated with the latest developments in ML, MLOps, LLMs, GPUs, and related concepts.

Skills & Experience:

• Expertise in AWS services (e.g., EC2, ECS, S3, Lambda, RDS, DynamoDB, IAM, VPC, Route 53, CloudWatch, EKS).
• Proficiency with AWS ML services like SageMaker, AWS Glue, Amazon EMR.
• Proficiency in automation and scripting (Bash, Python).
• Experience with infrastructure as code tools like AWS CloudFormation.
• Proficiency with version control systems like GitHub, GitHub Actions.
• Expertise in monitoring tools like Grafana, Prometheus.
• Experience with engineering tools like Artifactory, Synk, Docker.
• Excellent problem-solving skills and attention to detail.

Essential skills:

• 12+ years of experience in relevant field.
• Required: AWS, Snowflake, DBT, Data warehousing, ETL, Cloud Data Platform
• 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 AWS cloud native services – AWS SageMaker, Redshift etc.
• Implement CI/CD pipelines to streamline ML model deployment and updates.
• 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.

Educational Qualification:

• 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: 29/06/2026