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Lead Data Engineer

barclays.co.uk Logo

Barclays

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Location:
India , Pune

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Category:
IT - Software Development

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Contract Type:
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Salary:

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Job Description:

Join us as a Lead Data Engineer. At Barclays, we don’t just adapt to the future, we create it. As a Lead Data Engineer you will design, develop and improve software, utilising various engineering methodologies, that provides business, platform, and technology capabilities for our customers and colleagues.

Job Responsibility:

  • Design, develop and improve software, utilising various engineering methodologies, that provides business, platform, and technology capabilities for our customers and colleagues
  • Build and maintenance of data architectures pipelines that enable the transfer and processing of durable, complete and consistent data
  • Design and implementation of data warehoused and data lakes that manage the appropriate data volumes and velocity and adhere to the required security measures
  • Development of processing and analysis algorithms fit for the intended data complexity and volumes
  • Collaboration with data scientist to build and deploy machine learning models

Requirements:

  • Strong SQL skills for complex queries, optimization, and performance tuning
  • Knowledge of batch and real-time data processing patterns including understanding with streaming technologies (like Kafka)
  • Experience with Spark for distributed data processing
  • Experience building and maintaining robust ETL/ELT pipelines
  • Data modeling expertise (dimensional modeling, star/snowflake schemas)
  • Hands-on experience with data quality frameworks and validation
  • Proven Experience in designing and implementing scalable data solutions on public cloud
  • Deep knowledge of data services like: AWS S3, Redshift, Athena
  • Understanding of security, IAM, VPC, and cost optimization
  • Proficient in Python or Java for data processing
  • Version control and CI/CD pipelines
  • Understanding of software engineering best practices (testing, code reviews, documentation)
  • Proven track record leading data engineering teams
  • Experience designing end-to-end data architectures
  • Ability to translate business requirements into technical solutions
  • Strong stakeholder management and communication skills

Nice to have:

  • Power BI development experience & creating interactive dashboards and reports
  • Implementing data governance frameworks & understanding of data lineage and metadata management tools
  • Understanding of data Lakehouse architectures (Delta Lake, Iceberg) & experience with containerization using Docker
  • CloudFormation for infrastructure automation
  • Monitoring and observability tools (CloudWatch, Datadog)
  • Performance optimization and troubleshooting
  • Disaster recovery and backup strategies
  • Financial services or reconciliation domain knowledge
  • Agile/Scrum methodology experience
  • Cross-functional collaboration with analytics and business teams

Additional Information:

Job Posted:
May 16, 2026

Employment Type:
Fulltime
Work Type:
On-site work
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