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# Senior Data Engineer

- **Company:** Featuredneweasy
- **Location:** UK
- **Experience:** Expert
- **Salary:** £65,000.0 - £66,000.0
- **Contract:** Permanent contract
- **Skills:** Airflow, Microsoft Azure, Business Intelligence Development, Data as a Services, Information Engineering, Data Infrastructure, Extract Transform Load (ETL), Data Systems, Data Warehousing, Python (Programming Language), SQL Azure, Power BI, SQL Databases, Azure Data Factory, Apache Spark, Database Performance, Git, Microsoft Fabric, Pyspark, Terraform, Azure Synapse Analytics, Software Version Control, Data Pipelines, Databricks
- **Published:** July 21, 2026
- **Apply:** https://www.reed.co.uk/jobs/senior-data-engineer/57142133

## About the Role

* Strong commercial experience as a Data Engineer
 * Advanced SQL development skills
 * Commercial Python experience
 * Hands-on experience with Azure Data Factory (ADF)
 * Experience working with Microsoft Azure data services
 * Strong understanding of ETL/ELT processes
 * Experience designing and maintaining data pipelines
 * Knowledge of data warehousing concepts and data modelling
 * Experience using Git/version control
 * Strong communication skills with both technical and non-technical stakeholders

## Description

You'll play a key role in designing, developing and maintaining robust data solutions, improving data quality and enabling business-wide reporting and analytics. Working closely with Data Analysts, BI Developers and wider stakeholders, you'll help deliver reliable, scalable data solutions that support key business decisions., * Design, build and maintain scalable ETL/ELT data pipelines

 * Develop and optimise cloud-based data solutions
 * Build and maintain Azure Data Factory pipelines
 * Work with Azure SQL, Synapse Analytics and Microsoft Fabric
 * Improve data quality, governance and documentation processes
 * Optimise SQL queries and database performance
 * Develop data models to support analytics and reporting requirements
 * Collaborate with BI Developers, Data Analysts and business stakeholders
 * Support data platform migrations from legacy environments into Azure
 * Contribute to best practices around data engineering, automation and deployment, * Microsoft Fabric
 * Azure Synapse Analytics
 * Databricks
 * Apache Spark / PySpark
 * dbt
 * Apache Airflow
 * Power BI
 * Azure DevOps
 * CI/CD pipelines
 * Terraform


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