Data Engineer
Barclays · Bengaluru · Posted 2026-07-18
Tech stack: AWS, Jenkins, Python, SQL, Terraform
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About the role
To design, develop and improve software, utilising various engineering methodologies, that provides business, platform, and technology capabilities for our customers and colleagues.
Responsibilities:
- Development and delivery of high-quality software solutions by using industry aligned programming languages, frameworks, and tools. Ensuring that code is scalable, maintainable, and optimized for performance.
- Cross-functional collaboration with product managers, designers, and other engineers to define software requirements, devise solution strategies, and ensure seamless integration and alignment with business objectives.
- Collaboration with peers, participate in code reviews, and promote a culture of code quality and knowledge sharing.
- Stay informed of industry technology trends and innovations and actively contribute to the organization’s technology communities to foster a culture of technical excellence and growth.
- Adherence to secure coding practices to mitigate vulnerabilities, protect sensitive data, and ensure secure software solutions.
- Implementation of effective unit testing practices to ensure proper code design, readability, and reliability.
Qualifications:
- Experience in ETL / data processing / data warehousing / data engineering / RDBMS / PySpark.
- Experience in Data Processing and ETL in On-prem and Cloud based systems.
- Preferred AWS cloud development, with a strong understanding of AWS services (e.g., EC2, S3, Lambda, RDS, DynamoDB, etc.). Proficient in at least one Python programming language.
- Hands-on experience with Infrastructure as Code (IaC) tools like AWS CloudFormation, Terraform etc.
- Experience with CI/CD tools and pipelines (Jenkins, GitLab CI, etc.) for automation and deployment.
- Good understanding of cloud security best practices and experience with IAM, VPC, security groups, and encryption mechanisms.
- Good knowledge of monitoring, logging, and troubleshooting tools (e.g. CloudWatch, CloudTrail).
- Experience with version control systems (Git, GitHub, Bitbucket).
- Strong communication skills and ability to work in a collaborative team environment.
- The role works with business stakeholders to translate needs into technical solutions and align to solution architecture.
- The role should be able to scale up and align to the BUK CDAO tech tooling strategy e.g. EDP capabilities, Databricks etc.
- It incorporates security principles into designs, deliverables.
- Ensures compliance with standards (CSO, CDO, CDA etc.), executes and tests end-to-end Data Pipeline.
- Meets non-functional requirements like scalability, security, and resilience.
- Data solutions must follow 'data product principles' and the CDA team's best practices for data modelling, compliance, and security.
- Experience with Cloud based services and integrations, Exposure to Databricks, Agile development practices and Familiarity with databases (SQL/NoSQL), Release management
- You may be assessed on key critical skills relevant for success in role, such as risk and controls, change and transformation, business acumen, strategic thinking and digital and technology, as well as job-specific technical skills.
- This role is based in Bengaluru
Qualifications
- Experience in ETL / data processing / data warehousing / data engineering / RDBMS / PySpark.
- Experience in Data Processing and ETL in On-prem and Cloud based systems.
- Preferred AWS cloud development, with a strong understanding of AWS services (e.g., EC2, S3, Lambda, RDS, DynamoDB, etc.).
- Proficient in at least one Python programming language.
- Hands-on experience with Infrastructure as Code (IaC) tools like AWS CloudFormation, Terraform etc.
- Experience with CI/CD tools and pipelines (Jenkins, GitLab CI, etc.) for automation and deployment.
- Good understanding of cloud security best practices and experience with IAM, VPC, security groups, and encryption mechanisms.
- Good knowledge of monitoring, logging, and troubleshooting tools (e.g. CloudWatch, CloudTrail).
- Experience with version control systems (Git, GitHub, Bitbucket).
- Strong communication skills and ability to work in a collaborative team environment.
- The role works with business stakeholders to translate needs into technical solutions and align to solution architecture.
- The role should
- be able to scale up and align to the BUK CDAO tech tooling strategy e.g. EDP capabilities, Databricks etc.
- It incorporates security principles into designs, deliverables.
- Ensures compliance with standards (CSO, CDO, CDA etc.), executes and tests end-to-end Data Pipeline.
- Meets non-functional requirements like scalability, security, and resilience.
- Data solutions must follow 'data product principles' and the CDA team's best practices for data modelling, compliance, and security.
- Experience with Cloud based services and integrations
- Exposure to Databricks, Agile development practices and Familiarity with databases (SQL/NoSQL), Release management
- You may be assessed on key critical skills relevant for success in role, such as risk and controls, change and transformation, business acumen, strategic thinking and digital and technology, as well as job-specific technical skills.
- This role is based in Bengaluru
Responsibilities
- Development and delivery of high-quality software solutions by using industry aligned programming languages, frameworks, and tools.
- Ensuring that code is scalable, maintainable, and optimized for performance.
- Cross-functional collaboration with product managers, designers, and other engineers to define software requirements, devise solution strategies, and ensure seamless integration and alignment with business objectives.
- Collaboration with peers, participate in code reviews, and promote a culture of code quality and knowledge sharing.
- Stay informed of industry technology trends and innovations and actively contribute to the organization’s technology communities to foster a culture of technical excellence and growth.
- Adherence to secure coding practices to mitigate vulnerabilities, protect sensitive data, and ensure secure software solutions.
- Implementation of effective unit testing practices to ensure proper code design, readability, and reliability.