> Markdown version of [/jobs/ext/3765351-senior-data-engineer](https://www.wearedevelopers.com/jobs/ext/3765351-senior-data-engineer). 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). --- # Senior Data Engineer - **Company:** Tenth Revolution Group - **Location:** London, UK - **Experience:** Expert - **Salary:** £65,000.0 - £75,000.0 - **Contract:** Permanent contract - **Skills:** Amazon Web Services, Microsoft Azure, Information Engineering, Data Governance, Extract Transform Load (ETL), Data Warehousing, Python (Programming Language), Machine Learning, Performance Tuning, SQL Databases, Cloud Platform System, Snowflake, Data Pipelines - **Published:** October 16, 2026 - **Apply:** https://www.reed.co.uk/jobs/senior-data-engineer/57465036 ## About the Role * Proven experience as a Senior or Lead Data Engineer, Lead Data Engineer working with cloud-based data platforms. * Strong hands-on experience with Snowflake in enterprise environments. * Excellent SQL and Python skills.. * Strong understanding of data modelling, data warehousing and ETL development. * Experience delivering cloud data solutions within AWS, Azure or GCP environments. * Knowledge of Snowflake architecture, performance optimisation and cost management. * Strong stakeholder management skills with the ability to communicate complex technical concepts to non-technical audiences. * Experience leading engineering workstreams and mentoring junior team members., * Data Engineering ## Description * Design, build and deploy scalable data pipelines and data products within Snowflake. * Lead engineering workstreams across the full project lifecycle, from requirements gathering and solution design through to deployment and operational handover. * Develop and maintain ETL processes using SQL, Python and Snowflake technologies. * Design robust data models to support reporting, analytics, machine learning and AI use cases. * Lead client workshops and stakeholder discussions to understand business and technical requirements. * Implement data governance, security, access controls and data quality best practices. * Mentor and support engineers through technical reviews, knowledge sharing and engineering best practices.