Data Engineer
Published date: 2026/11/07
- Location: Bengaluru, Karnataka, India
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This role is based in India and as such all normal working days must be carried out in India.
Join us as a Data Engineer
• This is an exciting opportunity to use your technical expertise to collaborate with colleagues and build effortless, digital first customer experiences
• You’ll be simplifying the bank by developing innovative data driven solutions, using insight to be commercially successful, and keeping our customers’ and the bank’s data safe and secure
• Participating actively in the data engineering community, you’ll deliver opportunities to support the bank’s strategic direction while building your network across the bank
• This role is available at associate level
What you'll do
As a Data Engineer, you’ll play a key role in delivering value for our customers by building data solutions. You’ll be carrying out data engineering tasks to build a scalable data architecture including carrying out data extractions, transforming data to make it usable to analysts and data scientists, and loading data into data platforms.
You’ll also be:
• Developing comprehensive knowledge of the bank’s data structures and metrics, advocating change where needed for product development
• Building automated data engineering pipelines through the removal of manual stages
• Working closely with core technology and architecture teams in the bank to build data knowledge and data solutions
• Developing a clear understanding of data platform cost levers to build cost effective and strategic solutions
The skills you'll need
To be successful in this role, you’ll need to be an entry level programmer and Data Engineer with a qualification in computer science or software engineering. You’ll also need a good understanding of data usage and dependencies with wider teams and the end customer, as well as a proven track record in extracting value and features from large scale data.
You’ll also demonstrate:
• Experience of ETL technical design, automated data quality testing, QA and documentation, data warehousing, data modelling and data wrangling
• Extensive experience using Java, REST API, Spring, AWS, EC2, Lambda, Terraform, Security, Kafka, MongoDB and any NoSQL database
• A good understanding of security patterns and implementing microservices on AWS
• Good knowledge of AWS API Gateway, CI/CD, TeamCity and Swagger
• Experience of implementing
This role is based in India and as such all normal working days must be carried out in India.
Join us as a Data Engineer
• This is an exciting opportunity to use your technical expertise to collaborate with colleagues and build effortless, digital first customer experiences
• You’ll be simplifying the bank by developing innovative data driven solutions, using insight to be commercially successful, and keeping our customers’ and the bank’s data safe and secure
• Participating actively in the data engineering community, you’ll deliver opportunities to support the bank’s strategic direction while building your network across the bank
• This role is available at associate level
What you'll do
As a Data Engineer, you’ll play a key role in delivering value for our customers by building data solutions. You’ll be carrying out data engineering tasks to build a scalable data architecture including carrying out data extractions, transforming data to make it usable to analysts and data scientists, and loading data into data platforms.
You’ll also be:
• Developing comprehensive knowledge of the bank’s data structures and metrics, advocating change where needed for product development
• Building automated data engineering pipelines through the removal of manual stages
• Working closely with core technology and architecture teams in the bank to build data knowledge and data solutions
• Developing a clear understanding of data platform cost levers to build cost effective and strategic solutions
The skills you'll need
To be successful in this role, you’ll need to be an entry level programmer and Data Engineer with a qualification in computer science or software engineering. You’ll also need a good understanding of data usage and dependencies with wider teams and the end customer, as well as a proven track record in extracting value and features from large scale data.
You’ll also demonstrate:
• Experience of ETL technical design, automated data quality testing, QA and documentation, data warehousing, data modelling and data wrangling
• Extensive experience using Java, REST API, Spring, AWS, EC2, Lambda, Terraform, Security, Kafka, MongoDB and any NoSQL database
• A good understanding of security patterns and implementing microservices on AWS
• Good knowledge of AWS API Gateway, CI/CD, TeamCity and Swagger
• Experience of implementing
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