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
About Cognizant:
Cognizant (Nasdaq: CTSH) is an AI Builder and technology services provider, bridging the gap between AI investment and enterprise value by building full-stack AI solutions for our clients. Our deep industry, process and engineering expertise enables us to build an organization’s unique context into technology systems that amplify human potential, drive tangible outcomes and keep global enterprises ahead in a fast-changing world. See how at cognizant.ai or @cognizant.
Additional employment information
Compensation information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable law.
Applicants may be required to attend interviews in person or by video conference. In addition, candidates may be required to present their current state or government issued ID during each interview.
Cognizant is an equal opportunity employer. Your application and candidacy will not be considered based on race, color, sex, religion, creed, sexual orientation, gender identity, national origin, disability, genetic information, pregnancy, veteran status or any other characteristic protected by federal, state or local laws.











