Data Engineer

Cognizant; Greater London; Hybrid; GBP 65,000 - 90,000; Full time

Job summary

Cognizant is seeking a Data Engineer in London, hybrid work model (2–3 days on-site). You will design and maintain scalable ETL/ELT pipelines with Azure Data Factory, optimize SQL performance, and own end-to-end data tasks from requirements through deployment.

You will mentor junior engineers and contribute to data quality, governance, and CI/CD practices. The role emphasizes collaboration with data analysts and business stakeholders, maintaining pipelines and documentation, and leveraging the

Qualifications

• 4+ years hands-on experience with Azure Data Factory (ADF) pipelines, mapping data flows, triggers, and linked services.
• Strong SQL skills: complex joins, window functions, indexing, query optimization.
• Solid understanding of data engineering principles and Azure data ecosystem (ADLS Gen2, Azure SQL Database).
• Experience with version control (Git) and CI/CD pipelines (Azure DevOps).
• Knowledge of data governance, security, and compliance practices.

Responsibilities

• Design, develop, and maintain robust ETL/ELT pipelines using Azure Data Factory (ADF).
• Optimize SQL queries, stored procedures, and functions for performance and data transformation.
• Own end-to-end data engineering tasks from requirements to deployment and support.
• Mentor junior data engineers and review code/pipeline designs.
• Implement data quality checks and error-handling within pipelines.
• Collaborate with analysts and stakeholders to translate requirements into solutions.
• Contribute to CI/CD implementations and maintain pipeline documentation.

Skills

SQL

ADF

Data engineering

Azure ecosystem

Performance tuning

Git & CI/CD

Governance & security

Analytical skills

Tools

Git

Azure DevOps

Databricks

Job description

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 DevOps 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