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# Senior Data Engineer

- **Company:** KDR Talent Solutions Ltd
- **Location:** Milton Keynes, UK
- **Experience:** Expert
- **Salary:** £60,000.0
- **Contract:** Permanent contract
- **Skills:** Clean Code Principles, Microsoft Azure, Data Governance, Data Integrity, Extract Transform Load (ETL), Data Mining, Data Systems, Python (Programming Language), Azure Data Lake, SQL Databases, Azure Data Factory, Apache Spark, Microsoft Fabric, Data Lakes, Pyspark, Restful APIs, Azure Synapse Analytics, Data Pipelines
- **Published:** September 8, 2026
- **Apply:** https://www.collegerecruiter.com/job/2840676330-senior-data-engineer

## About the Role

* Proven experience as a Data Engineer, with a focus on Azure services.
 * Strong expertise in designing and implementing ETL processes.
 * Experience using SQL to query and manipulate data.
 * Proficiency in Azure data tooling such as Synapse Analytics, Microsoft Fabric, Azure Data Lake Storage/One Lake, and Azure Data Factory.
 * Experience with monitoring and failure recovery in data pipelines.
 * Understanding of data extraction from vendor REST APIs.
 * Strong communication, collaboration, and problem-solving skills.
 * Knowledge of modern data architecture principles like Data Lakes, External tables, and medallion architecture is an asset.
 * Experience with Spark/PySpark or Python is a bonus, or a willingness to develop these skills.

## Description

Join a growing data function within an organisation dedicated to helping people across the UK improve their financial well-being. In this role, you'll be responsible for designing and leading the implementation of data flows that connect operational systems for analytic, primarily within an Azure environment., * Data Pipelines and ETL Processes: Design, develop, and implement ETL (extract, transform, load) processes and meta-data driven data pipelines using tools like Azure Data Factory and Apache Spark.

 * Monitoring and Failure Recovery: Create monitoring procedures to detect failures or unusual data profiles and establish recovery processes to ensure data integrity.
 * Azure Services: Use Azure\'s suite of services, including cloud-based data technology platforms and Data Lake-based storage, to ensure data solutions are scalable and reliable.
 * Collaboration and Leadership: Partner with data scientists, analysts, and other stakeholders to deliver solutions that meet their data needs. You will also provide technical leadership and mentorship to junior data engineers.
 * Data Governance and Quality: Enforce data governance policies, maintain high standards of data quality and security, and ensure only thoroughly tested, high-quality code and architecture are delivered.


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