Senior Data Engineer (Analytics) - up to £75,000

• Design, build, and maintain scalable data pipelines (ELT/ETL)
• Own the flow of data from source systems * warehouse * BI tools
• Develop clean, reusable data models for analytics and reporting
• Integrate a wide range of data sources, including marketing, CRM, and operational systems
• Implement data quality checks, monitoring, and validation
• Automate workflows to improve speed, reliability, and reduce manual effort
• Establish a robust, scalable data platform that supports growth
• Improve data reliability, accessibility, and trust across the business
• Enable self-serve analytics through well-structured datasets
• Partner with stakeholders across Growth, Finance, Marketing, Product, and Operations
• Translate business needs into scalable technical solutions
• Communicate clearly with both technical and non-technical audiences

• Strong experience with Snowflake
• Advanced SQL skills working with large datasets
• Hands-on experience with modern data tools (DBT ideally)
• Solid understanding of data warehousing and architecture best practices
• A detail-oriented mindset with a focus on data quality and reliability
• Comfortable working in a small, high-impact team

Nice to have

• Experience working with CRM and marketing data (e.g. HubSpot, Salesforce, ad platforms)
• Background in digital marketing analytics or attribution
• Python or R for automation and data processing
• Familiarity with experimentation (A/B testing)
• Exposure to data governance or cataloguing tools