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

Data Engineer

Job Description