Azure Data Engineer
CV-LibraryCV1, Coventry, West Midlands (County)contractPosted: 19 June 2026
Apply NowAzure Data Engineer
Location: Coventry - Hybrid - 3 days per week onsite
Start Date: ASAP
Contract Rate: £420 per day inside IR35
Duration: 6 to 12 months initially
Role Overview
Our client is seeking a highly skilled Azure Data Engineer to design, develop, and execute enterprise-scale data migration and transformation solutions within the Microsoft Azure ecosystem. The successful candidate will play a key role in building high-performance data pipelines, enabling scalable data processing, and supporting critical business data initiatives.
Key Responsibilities
* Design and build scalable ETL/ELT pipelines using Azure Data Factory and Synapse Pipelines
* Develop structured data migration payloads, including schema mapping and transformation logic
* Implement Change Data Capture (CDC) for efficient incremental data loads
* Develop and maintain PySpark notebooks for data transformation, cleansing, and partitioning
* Build reusable Python utilities for data validation and API integrations
* Create and optimise SQL queries, stored procedures, and analytical data models
* Manage and integrate data across Azure Data Lake (ADLS Gen2), Synapse Analytics, and Azure SQL
* Design solutions for handling structured and semi-structured data formats such as JSON and Delta Lake
* Ensure performance optimisation, scalability, and reliability of data pipelines
* Support data quality, governance, and security best practices
Skills & Experience
Essential
* 5+ years’ experience in cloud data engineering, ideally within Azure
* Strong hands-on expertise with Azure Data Factory and Azure Synapse Analytics
* Advanced programming skills in Python, PySpark, and SQL (T-SQL / Spark SQL)
* Experience designing and implementing data pipelines and migration solutions
* Strong understanding of data modelling, transformations, and optimisation techniques
* Experience working with Azure Data Lake Storage (ADLS Gen2)
Desirable
* Experience with Azure Databricks
* Familiarity with Cosmos DB, Oracle DB, and Delta Lake
* Knowledge of event-driven architectures (Event Hub, Kafka, IoT Hub)
* Exposure to Microsoft Fabric / OneLake
* CI/CD experience with Azure DevOps or GitHub
* Understanding of data governance, data quality, and security frameworks
* Experience working with unstructured data and large-scale datasets
If you have the relevant skills and experience, please do apply promptly to be considered
Location: Coventry - Hybrid - 3 days per week onsite
Start Date: ASAP
Contract Rate: £420 per day inside IR35
Duration: 6 to 12 months initially
Role Overview
Our client is seeking a highly skilled Azure Data Engineer to design, develop, and execute enterprise-scale data migration and transformation solutions within the Microsoft Azure ecosystem. The successful candidate will play a key role in building high-performance data pipelines, enabling scalable data processing, and supporting critical business data initiatives.
Key Responsibilities
* Design and build scalable ETL/ELT pipelines using Azure Data Factory and Synapse Pipelines
* Develop structured data migration payloads, including schema mapping and transformation logic
* Implement Change Data Capture (CDC) for efficient incremental data loads
* Develop and maintain PySpark notebooks for data transformation, cleansing, and partitioning
* Build reusable Python utilities for data validation and API integrations
* Create and optimise SQL queries, stored procedures, and analytical data models
* Manage and integrate data across Azure Data Lake (ADLS Gen2), Synapse Analytics, and Azure SQL
* Design solutions for handling structured and semi-structured data formats such as JSON and Delta Lake
* Ensure performance optimisation, scalability, and reliability of data pipelines
* Support data quality, governance, and security best practices
Skills & Experience
Essential
* 5+ years’ experience in cloud data engineering, ideally within Azure
* Strong hands-on expertise with Azure Data Factory and Azure Synapse Analytics
* Advanced programming skills in Python, PySpark, and SQL (T-SQL / Spark SQL)
* Experience designing and implementing data pipelines and migration solutions
* Strong understanding of data modelling, transformations, and optimisation techniques
* Experience working with Azure Data Lake Storage (ADLS Gen2)
Desirable
* Experience with Azure Databricks
* Familiarity with Cosmos DB, Oracle DB, and Delta Lake
* Knowledge of event-driven architectures (Event Hub, Kafka, IoT Hub)
* Exposure to Microsoft Fabric / OneLake
* CI/CD experience with Azure DevOps or GitHub
* Understanding of data governance, data quality, and security frameworks
* Experience working with unstructured data and large-scale datasets
If you have the relevant skills and experience, please do apply promptly to be considered