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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:
Not provided

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Salary:

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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. You'll harness cutting-edge technology to revolutionise our digital offerings, ensuring unapparelled customer experiences.

Job Responsibility:

  • 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:

  • Must be graduate/ must have bachelor’s degree
  • Solid experience in data engineering, ETL and building and maintaining pipelines for structured, semi structured and unstructured data from multiple upstream systems
  • Work with various formats and protocols (CSV, JSON, XML, Avro, Parquet, APIs , streaming feeds and messaging queues)
  • Develop scalable ETL/ELT workflows using AWS and big data frameworks
  • Strong Experience in AWS( Redshift, Glue, Lambda, Step Functions, Cloud Formation templates, CloudWatch, API Gateway)
  • Excellent programming skills in Python or Pyspark
  • Experience with ETL orchestration tools, workflow schedulers and CI/CD pipelines
  • Excellent knowledge of Data Storage and Warehousing concepts
  • Model and Maintain datasets within warehouses like S3, Data Lake, Redshift, Hive/Glue Catalog)
  • Experience with database systems (relational: Oracle, SQL Server, PostgreSQL, MySQL
  • columnar: Redshift, Snowflake
  • NoSQL: MongoDB, Cassandra)
  • Advanced SQL skills (DDL, DML, performance tuning) and scripting experience (PL/SQL, T-SQL, Python or Shell)
  • Knowledge of data warehousing concepts (Inmon/Kimball) and ETL tools (e.g., Informatica)
  • Cloud platform experience, ideally AWS (S3, Redshift, Glue) and Data Lake implementation

Nice to have:

  • Experience with big data ecosystems (Hadoop, Databricks, Snowflake etc.)
  • Knowledge of Kafka and real-time flows with MSK
  • Knowledge of Trino/Presto, Delta/Iceberg/Hudi
  • Experience with Data Quality frameworks and metadata management
  • Exposure to Post-trade settlement , clearing, reconciliations or financial markets preferred
What we offer:
  • Competitive holiday allowance
  • Life assurance
  • Private medical care
  • Pension contribution

Additional Information:

Job Posted:
January 03, 2026

Employment Type:
Fulltime
Work Type:
Hybrid work
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