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# Azure Data Engineer

- **Company:** Lynx Recruitment Ltd
- **Location:** London, UK
- **Salary:** £60,000.0
- **Contract:** Permanent contract
- **Skills:** Business Analytics Applications, Microsoft Azure, Information Engineering, Extract Transform Load (ETL), Data Security, Data Systems, Data Warehousing, Python (Programming Language), Power BI, Azure Data Lake, SQL Databases, Azure Data Factory, Data Lakes, Azure Synapse Analytics, Databricks
- **Published:** September 11, 2026
- **Apply:** https://www.reed.co.uk/jobs/azure-data-engineer/57333307

## About the Role

You'll have:

 * Strong experience with Microsoft Azure Data Engineering.
 * Hands-on expertise with Azure Data Factory, Databricks, Synapse Analytics and Data Lake Storage.
 * Development experience in Python, Scala or SQL.
 * Knowledge of data modelling and analytics solutions.
 * Excellent communication skills and experience working in a client-facing environment.
 * A proactive approach with strong problem-solving skills.

Skills

 * Azure Data Factory
 * Azure Data Lake
 * Data Engineering Roles
 * Data Warehousing
 * Databricks (Data Engineering)
 * ETL (Extract Transform Load)
 * Microsoft Azure (Line)
 * Power BI (Opportunity)
 * Python Programming (Beginner)
 * SQL Databases

## Description

We're working with a growing technology consultancy looking for an experienced Data Engineer to design and deliver modern Azure-based data solutions for a range of enterprise clients.
This is a customer-facing role where you'll work closely with clients to build scalable, secure data platforms while collaborating with a talented engineering team. You'll also have the opportunity to mentor junior engineers and progress into technical architecture or leadership roles., * Design, develop and maintain data pipelines using Azure Data Factory and Azure Databricks.

 * Build data models and analytics solutions using Synapse Analytics and Azure Data Lake Storage.
 * Develop and optimise ETL/ELT processes.
 * Work directly with clients to understand requirements and deliver robust data solutions.
 * Troubleshoot data issues and ensure solutions are secure, scalable and high performing.
 * Mentor junior engineers and contribute to technical best practices.


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