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136,000+ live jobsHybrid in London·Full-time·Added 20 days ago (last checked 8 Oct)
Full-time
Per the ad.
Hybrid
Office and home days — the ad has the split.
Be near London for hybrid days
No relocation package mentioned.
Have 4+ years of experience
Mid-level role.
Nice to have
Role: Data Engineer
Location: London (2 or 3 days in a week)
Employment: Fulltime (Sponsorship not available)
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
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
Experience with Databricks
Familiarity with real-time/streaming data
Microsoft Azure Data Engineer Associate (DP-203) certification
Cognizant is a global IT services and consulting company whose engineers, consultants, researchers and innovators turn ideas into AI and advanced technologies for client organizations. It serves a wide range of industries including automotive, banking, consumer goods, communications and media, healthcare, insurance, retail, manufacturing, and travel and hospitality.
Its work spans areas such as data and AI, digital engineering, business processes, and consulting, helping leading organizations convert ideas into action. The company describes a supportive culture focused on continuous learning and career growth.
or browse London·Data & AI·Data engineering·Mid-level·Hybrid·IT Services
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