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# Azure Data Engineer (Microsoft Fabric)

- **Company:** JATO Dynamics Limited
- **Location:** Denham, UK
- **Experience:** Experienced
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Microsoft Azure, Continuous Integration, Data Architecture, Information Engineering, Extract Transform Load (ETL), Data Migration, Data Stores, Data Warehousing, DevOps, Digital Assets, Python (Programming Language), MongoDB, NoSQL, Power BI, DataOps, SQL Stored Procedures, SQL Databases, Data Processing, Microsoft Power Automate, Azure Data Factory, Microsoft Fabric, Data Lakes, Pyspark, Cosmos DB, Azure Synapse Analytics, Data Pipelines, Serverless Computing, Legacy Systems
- **Published:** November 1, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=c83e17468c11ab19

## About the Role

* 3+ years' experience building ETL/ELT pipelines using Azure Data Factory and Azure Synapse Analytics.
 * Experience with Synapse Serverless and Dedicated SQL Pools.
 * Strong understanding of data warehousing, data lakes, and end-to-end data pipelines.
 * Proficiency in SQL, stored procedures, and working with relational and NoSQL databases.
 * Hands-on experience with PySpark and Microsoft Fabric.
 * Knowledge of DevOps, CI/CD, Agile delivery, and data quality best practices.
 * Strong analytical, problem-solving, and troubleshooting skills.
 * Experience with Python, Power BI, Power Automate, Cosmos DB, or MongoDB is advantageous.
 * Familiarity with AI-assisted development tools and modern automation practices is desirable.
 * Excellent communication skills, attention to detail, and the ability to collaborate across multiple teams and manage competing priorities.
 * Automotive industry experience is a plus.

## Description

We're seeking an Azure Data Engineer with Microsoft Fabric experience to join our agile product delivery teams. This role is ideal for someone who has already delivered data solutions using Microsoft Fabric, alongside Azure Data Factory and Azure Synapse Analytics, and is excited about helping shape the future of our cloud data platform.

You'll design, build, and optimise scalable data pipelines and products that transform complex datasets into valuable commercial solutions for internal and external customers. Working closely with Product, Architecture, Operations, and Engineering teams, you'll contribute to platform innovation, data architecture, and best practices while leveraging modern DevOps and AI-enabled development approaches., * Design, build, and maintain scalable ETL/ELT pipelines using Azure Data Factory, Synapse Analytics, and Microsoft Fabric.

 * Ingest, transform, and store data in Azure cloud platforms to create trusted data assets.
 * Develop and deliver data products that meet business and customer requirements.
 * Collaborate with Product, Architecture, Operations, and Engineering teams to deliver platform enhancements.
 * Contribute to solution design, architecture, and data engineering best practices.
 * Own the end-to-end delivery lifecycle, from development through to production using DevOps and CI/CD practices.
 * Analyse and resolve data engineering challenges, supporting continuous platform improvement.
 * Migrate data from legacy systems into Azure-based data lakes and data warehouses.
 * Develop and maintain PySpark notebooks and data processing solutions.
 * Improve data quality, reliability, and performance across data pipelines.
 * Leverage AI-driven tools to enhance coding, testing, and documentation efficiency.
 * Continuously develop technical expertise and share knowledge across the team.