> Markdown version of [/jobs/ext/4079762-databricks-specialist](https://www.wearedevelopers.com/jobs/ext/4079762-databricks-specialist). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Databricks Specialist - **Company:** Tenth Revolution Group - **Location:** London, UK - **Salary:** £117,000.0 - £156,000.0 - **Contract:** Temporary contract - **Skills:** Computing Platforms, Data Architecture, Information Engineering, Data Integration, Extract Transform Load (ETL), Data Transformation, Python (Programming Language), Performance Tuning, Standard Sql, Data Strategy, Data Management, Data Pipelines, Databricks - **Published:** October 22, 2026 - **Apply:** https://www.careerboard.com/gb/en/find-jobs-in-United-Kingdom/-789D81AE80C0C0351C/ ## About the Role * Strong commercial experience with Databricks in both engineering and architecture capacities. * Proven track record designing and building end-to-end data platforms. * Expertise in data pipeline development, ETL/ELT processes and data integration. * Strong Python and SQL skills. * Experience with modern cloud data architectures and Lakehouse methodologies. * Ability to engage with stakeholders, gather requirements and translate them into scalable technical solutions. * Consultancy or client-facing experience is highly desirable. ## Description We're supporting a global consultancy on the search for an experienced Databricks Engineer/Architect to join a major data transformation programme. This is a hands-on role requiring someone who can operate across the full data lifecycle, from designing scalable architectures through to building and optimising data pipelines. The successful contractor will be a true Databricks specialist, capable of combining technical leadership with hands-on engineering delivery., * Design and implement scalable, cloud-based data architectures using Databricks. * Build and optimise end-to-end data pipelines supporting analytics and Business Intelligence initiatives. * Lead the development of modern Lakehouse and data platform solutions. * Work closely with technical and business stakeholders to define data strategy and architecture. * Establish best practices across data engineering, governance, performance optimisation and platform design. * Support data platform modernisation and transformation initiatives. * Provide technical leadership while remaining heavily involved in hands-on delivery.