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# Contract Databricks Data Engineer Role - Remote - £400/pd

- **Company:** Tenth Revolution Group
- **Location:** London, UK (Remote available)
- **Salary:** £104,000.0
- **Contract:** Temporary to permanent
- **Skills:** Code Review, Data Validation, Information Engineering, Data Infrastructure, Extract Transform Load (ETL), Python (Programming Language), Standard Sql, Data Pipelines, Databricks
- **Published:** August 17, 2026
- **Apply:** https://www.adzuna.co.uk/jobs/details/5845191096

## About the Role

We're looking for candidates with strong hands-on experience across:

 * Databricks
 * Python
 * SQL
 * Data engineering and ETL/ELT development
 * Data validation and UAT support
 * Code review and quality assurance practices
 * Working within complex data environments
 * Stakeholder management and business-facing communication skills

## Description

Working within a highly collaborative data environment, you'll play a key role in supporting the organisation's Decision Science Team, ensuring they have access to high-quality, reliable data to drive business outcomes.

The position combines hands-on engineering, stakeholder engagement, and technical oversight responsibilities, making it ideal for someone who enjoys both delivering solutions and guiding development best practices.

Key responsibilities will include:

 * Delivering new data provisioning requests for the Decision Science team
 * Supporting and executing User Acceptance Testing (UAT) activities
 * Developing, maintaining and enhancing data pipelines within Databricks
 * Performing code reviews and promoting engineering best practices
 * Troubleshooting data-related issues and implementing improvements
 * Collaborating with data scientists, analysts and business stakeholders
 * Providing technical oversight and guidance to developers within the team
 * Ensuring data quality, performance and governance standards are maintained, If you're an experienced Databricks Data Engineer looking for your next contract assignment and enjoy working closely with analytics and decision science teams, we'd love to hear from you.


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