Overview
Solving Complex Hiring Challenges in Data Engineering & Analytics | Experis UK
Hybrid – Midlands (1-2 days per week in office)
Salary: Up to £65k plus bonus
Permanent
We are partnering with a leading and innovative organisation to help recruit a Senior Data Engineer to join their evolving data team. This role provides a unique opportunity to work with cutting-edge cloud data platforms, supporting the delivery of high-quality, reliable data solutions while contributing to automation and platform enhancements.
What You’ll Be Doing
As a Senior Data Engineer, you will play a key role in building, optimising, and maintaining cloud-based data solutions. Responsibilities include:
* Developing and maintaining end-to-end data pipelines using Azure services such as Data Factory, Databricks, Synapse, and Data Lake.
* Designing and optimising data models, warehouses, and lakehouse architectures to support analytics and reporting requirements.
* Ensuring data governance, security, and compliance across cloud platforms, implementing access controls, encryption, and monitoring.
* Monitoring data processes, identifying performance bottlenecks, and delivering improvements to ensure reliable and accurate data availability.
* Mentoring junior engineers and sharing knowledge through documentation, workshops, and code reviews.
What We’re Looking For
* Strong experience with Azure Databricks (Unity Catalog, DLT, cluster management) and other Azure services (Data Factory, Synapse, Data Lake Storage, Stream Analytics, Event Hubs).
* Advanced SQL knowledge with experience optimising relational databases and writing efficient queries (T-SQL).
* Strong understanding of data engineering principles, distributed computing, and cloud-native design patterns.
* Previous managerial/mentoring experience and/or operating at a senior/Lead level
* Excellent communication and problem-solving skills, with the ability to collaborate across teams.
How to Apply
If interested, please contact Jacob Ferdinand at Jacob.ferdinand@experis.co.uk
Job Details
* Seniority level – Mid-Senior level
* Employment type – Full-time
* Job function – Information Technology and Engineering
* Industries – Data Infrastructure and Analytics and IT System Data Services
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