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# Azure Data Engineer

- **Company:** Codeverse Limited
- **Location:** London, UK (Remote available)
- **Experience:** Starter
- **Salary:** £65,000.0 - £91,000.0
- **Contract:** Temporary to permanent
- **Skills:** Microsoft Azure, Big Data, Cloud Database, Information Engineering, Extract Transform Load (ETL), Data Systems, Database Development, Microsoft SQL Server, SQL Databases, Transact-SQL, Azure Data Factory, Azure Synapse Analytics, Data Pipelines, Databricks
- **Published:** August 6, 2026
- **Apply:** https://www.reed.co.uk/jobs/azure-data-engineer/57202004

## About the Role

* Strong experience with Microsoft Azure
 * Azure Data Factory (ADF)
 * Azure Databricks
 * Azure Synapse Analytics
 * SQL Server
 * SQL Development (T-SQL)
 * Experience building and maintaining ETL/ELT pipelines
 * Excellent SQL query optimisation and data modelling skills
 * Strong communication and stakeholder management abilities

Experience RequiredJunior Azure Data Engineer

 * Approximately 3-4 years of commercial experience
 * Good hands-on knowledge of Azure Data Factory, SQL and Azure data services
 * Experience supporting cloud-based data engineering projects

Senior Azure Data Engineer

 * Approximately 6-7+ years of commercial experience
 * Proven expertise designing and delivering Azure data engineering solutions
 * Strong experience with Databricks, Synapse and Azure Data Factory
 * Ability to mentor junior engineers and contribute to solution design, * Azure Data Engineering
 * Azure Databricks Data Engineering
 * Azure Synapse Analytics
 * SQL

## Description

* Design, build and maintain scalable Azure data pipelines.
 * Develop ETL/ELT solutions using Azure Data Factory.
 * Work with Azure Synapse Analytics and Azure Databricks to process and transform large datasets.
 * Develop, optimise and maintain SQL solutions.
 * Collaborate with analysts, architects and business stakeholders to deliver reliable data solutions.
 * Ensure data quality, governance and best practices across the Azure data platform.
 * Support ongoing enhancements and maintenance of existing data engineering solutions.


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