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Data Engineer

Job in Greater London, London, Greater London, W1B, England, UK
Listing for: Cognizant
Full Time position
Listed on 2026-10-02
Job specializations:
  • Software Development
    Data Engineering, Azure, SQL Developer
Salary/Wage Range or Industry Benchmark: 65000 - 90000 GBP Yearly GBP 65000.00 90000.00 YEAR
Job Description & How to Apply Below

Role
:
Data Engineer
Location
:
London (2 or 3 days in a week)
Employment
:
Fulltime (Sponsorship not available)

Key Responsibilities
  • Design, develop, and maintain robust, scalable ETL/ELT pipelines using Azure Data Factory (ADF)
  • Optimizing SQL queries, stored procedures, and functions for data transformation and performance tuning
  • Own end-to-end delivery of data engineering tasks — from requirement gathering to deployment and support
  • Mentor junior data engineers and review their code/pipeline designs
  • Implement data quality checks, validation frameworks, and error-handling mechanisms within pipelines
  • Integrate data from structured/unstructured sources (APIs, flat files)
  • Collaborate with data analysts, and business stakeholders to translate requirements into technical solutions
  • Contribute to CI/CD implementation for data pipeline deployments
  • Maintain technical documentation for pipelines, data flows, and architecture
Required Skills
  • Strong hands-on experience with SQL (complex joins, window functions, query optimization, indexing, stored procedures)
  • 4+ years of experience with Azure Data Factory (ADF) – pipelines, mapping data flows, triggers, linked services, integration runtimes
  • Solid understanding of Data Engineering principles
  • Strong working knowledge of the Azure data ecosystem:
    Azure Data Lake Storage (ADLS Gen2), Azure SQL Database
  • Experience with performance tuning and troubleshooting pipeline/data issues
  • Experience with version control (Git) and CI/CD pipelines (Azure Dev Ops preferred)
  • Understanding of data governance, security, and compliance practices
  • Strong analytical, debugging, and problem-solving skills
Preferred/Nice-to-Have Skills
  • Experience with Databricks
  • Familiarity with real-time/streaming data
  • Microsoft Azure Data Engineer Associate (DP-203) certification
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