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# Senior Data Engineer

- **Company:** Tenth Revolution Group
- **Location:** London, UK
- **Experience:** Expert
- **Salary:** £70,000.0 - £85,000.0
- **Contract:** Permanent contract
- **Skills:** Microsoft Azure, Code Review, Data Infrastructure, Extract Transform Load (ETL), Database Development, Distributed Computing Environment, Python (Programming Language), Cloud Platform System, Apache Spark, Data Pipelines, Databricks
- **Published:** September 18, 2026
- **Apply:** https://www.reed.co.uk/jobs/senior-data-engineer/57362012

## About the Role

* Proven experience as a Data Engineer working with Databricks in production environments.
 * Strong Python and SQL development skills.
 * Experience with cloud-based data platforms, ideally within Azure environments..
 * Good understanding of data modelling, ETL frameworks and distributed data processing.
 * Strong communication and stakeholder management skills.
 * Experience with Unity Catalog and Databricks Asset Bundles is desirable., * MS Business Intelligence

## Description

Working closely with senior engineering leadership, you will be responsible for designing and delivering robust data solutions, building scalable pipelines and helping to establish best practices across the data platform. You will contribute to the architecture, performance and governance of a business-critical data ecosystem while supporting the delivery of high-value data products., * Design, build and maintain scalable data pipelines using Databricks and Apache Spark.

 * Develop and optimise batch and streaming data workflows, ensuring reliability, scalability and performance.
 * Contribute to the design and implementation of modern Lakehouse data architectures.
 * Implement data quality, monitoring and observability frameworks across the platform.
 * Collaborate with Data Scientists, Analysts and business stakeholders to deliver high-quality data products.
 * Participate in code reviews and contribute to engineering standards and best practices.
 * Identify opportunities to improve platform performance and optimise cloud spend.
 * Translate business requirements into scalable technical solutions.
 * Contribute to platform documentation, tooling decisions and ongoing continuous improvement initiatives.


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