Senior Data Engineer (Commercial Analytics)

📋 Description

• Design, build, and maintain data pipelines between commercial tools (HubSpot, Zuora, Vitally) and
• Own reverse ETL flows: enrich or define data in the warehouse and push it back into operational
• Implement and maintain data contracts with clear ownership, SLAs, and schema agreements between
• Partner with RevOps and the BAT team to understand operational data requirements and translate them
• Build monitoring and alerting that catches data quality issues before they surface in dashboards
• Simplify integration architecture by centralising data flows through the warehouse, reducing

🎯 Requirements

• Proven experience building and maintaining production data pipelines in a commercial or GTM data
• Strong understanding of CRM data models, APIs, and field management (HubSpot or comparable
• Hands-on experience with reverse ETL patterns: pushing warehouse-enriched or warehouse-defined data
• Extensive BigQuery experience.
• Experience implementing data contracts in a production environment.
• Python proficiency for pipeline development, transformation logic, and tooling.

🎁 Benefits

• Your own Pleo card (no more out-of-pocket spending!)
• Lunch is on us for your work days - enjoy catered meals or receive a lunch allowance based on your
• Comprehensive private healthcare - depending on your location, coverage options include Vitality
• We offer 25 days of holiday + your public holidays
• For our Team, we offer both hybrid and fully remote working options
• We use MyndUp to give our employees access to free mental health and well-being support with great