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# Senior Data Engineer Azure Databricks

- **Company:** gb
Client Server
- **Location:** Greater London, UK (Remote available)
- **Experience:** Expert
- **Salary:** £95,000
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Data Architecture, Data Governance, Data Infrastructure, Data Transformation, Data Stores, Data Systems, SQL Stored Procedures, SQL Databases, SQL Server Reporting Services, Azure Data Factory, Agentic-AI, Build Management, Databricks
- **Published:** November 6, 2026
- **Apply:** https://www.totaljobs.com/job/senior-data-engineer-databricks/client-server-job108286289

## About the Role

* You are an experienced Data Engineer keen to take ownership and drive technical transformation
 * You have a strong knowledge of Databricks combined with a good understanding of SQL and SSRS, experience with Azure Data Lakes nice to have
 * You have experience of working in regulated finance / FinTech environments
 * You have experience with data transformation and modernising reporting
 * You have experience using Agentic AI tools
 * You're collaborative with great communication and problem solving skills

## Description

Are you a technologist Data Engineer with experience of working in regulated financial environments?

You could be progressing your career at a specialist FinTech and Investment technology business.

As a Senior Data Engineer / Architect, you'll take a hands-on lead role in shaping and developing the company's data platform. You'll design and build robust Databricks pipelines, develop reusable data products and medallion architecture and help modernise the data estate, migrating legacy data stores, stored procedures and SSRS reporting onto a governed, scalable platform.

Collaborating with the Head of Engineering, platform engineers, data governance colleagues and the existing data team, you'll influence data architecture and engineering standards while remaining actively involved in delivery.

You'll also help drive the adoption of AI assisted and agentic development, ensuring AI generated code and data solutions are properly designed, tested and controlled.