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Data Engineer

India, Bengaluru · Job Posted July 04, 2026
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Job Description

Join us as a Data Engineer at Barclays, where you'll spearhead the evolution of our digital landscape, driving innovation and excellence. This role is responsible for delivering the technology stack, using strong analytical and problem-solving skills to understand the business requirements and deliver quality solutions coming up with the ETL process design / data pipeline of the Foundational / Consolidated and Business data Products for the Tesco Tenancy on EDP. The resource will be working on complex technical problems that will involve detailed analytical skills and analysis. This will be done in conjunction with fellow engineers, business analysts and business stakeholders.

Job Responsibility

  • Spearhead the evolution of our digital landscape, driving innovation and excellence
  • Deliver the technology stack, using strong analytical and problem-solving skills to understand the business requirements and deliver quality solutions coming up with the ETL process design / data pipeline of the Foundational / Consolidated and Business data Products for the Tesco Tenancy on EDP
  • Work on complex technical problems that will involve detailed analytical skills and analysis
  • Develop and delivery of high-quality software solutions by using industry aligned programming languages, frameworks, and tools
  • Ensure 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
  • Collaborate 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

Requirements

  • 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

Nice to have

  • Experience with Cloud based services and integrations
  • Exposure to Databricks
  • Agile development practices
  • Familiarity with databases (SQL/NoSQL)
  • Release management

What we offer

  • Competitive holiday allowance
  • Life assurance
  • Private medical care
  • Pension contribution
  • Health and wellness
  • A place where you can belong
  • Collaborative Areas
  • More than work
  • Hybrid working

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