Data Engineer

Cognizant; England; On-site; GBP 60,000 - 90,000; Full time

Job summary

Cognizant is seeking a skilled Data Engineer in the United Kingdom to design, build, and maintain scalable ETL/ELT pipelines using Azure Data Factory. You will optimize SQL queries, mentor junior engineers, and ensure end-to-end delivery from requirements through deployment and support.

The role requires strong SQL, Azure Data Factory experience, and a solid understanding of the Azure data ecosystem. Collaboration with analysts and stakeholders is essential to translate business needs into

Qualifications

• 4+ years of experience with Azure Data Factory (ADF) and end-to-end pipeline development.
• Strong SQL skills including complex joins, window functions, and query tuning.
• Experience with the Azure data ecosystem: ADLS Gen2 and Azure SQL Database.
• 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.

Responsibilities

• Design, develop, and maintain robust ETL/ELT pipelines using Azure Data Factory.
• Optimize SQL queries and data transformations for performance.
• Own end-to-end delivery from requirements to deployment and support.
• Mentor junior data engineers and review code/pipeline designs.
• Implement data quality checks, validation frameworks, and error-handling within pipelines.
• Integrate data from APIs and flat files; collaborate with analysts and stakeholders to translate requirements.
• Contribute to CI/CD implementation for data pipeline deployments.
• Maintain technical documentation for pipelines and architecture.

Skills

SQL proficiency

ADF (Azure Data Factory)

Data engineering

Azure ADLS Gen2

Performance tuning

Git & CI/CD

Data governance & security

Troubleshooting

Tools

Azure DevOps

Git

Databricks

Azure Data Factory

Job description

• 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