P
Senior Data Engineer (Commercial Analytics)
Pleo
Contract type
Ongoing
Work mode
Hybrid · Hybrid (inferred: EU/NL where applicable)
Experience
Senior · Not stated
Level inferred from job title
Job description
Key details
- Design, build, and maintain data pipelines between commercial tools (HubSpot, Zuora, Vitally) and the BigQuery data warehouse
- Own reverse ETL flows: enrich or define data in the warehouse and push it back into operational tools like HubSpot, keeping definitions consistent across systems
- Implement and maintain data contracts with clear ownership, SLAs, and schema agreements between data producers and data consumers
- Partner with RevOps and the BAT team to understand operational data requirements and translate them into reliable, governed pipelines
- Build monitoring and alerting that catches data quality issues before they surface in dashboards, operational reports, or downstream models
- Simplify integration architecture by centralising data flows through the warehouse, reducing point-to-point tool integrations
- Work with Analytics Engineers to ensure pipeline outputs are structured and documented for downstream modelling
- Engage upstream with tool owners and engineering teams to move data quality and schema discipline closer to the source
- Company mission
- Information not specified
Primary stack
Core technologies
Python (Programming Language)HubSpot
Benefits
- Information not specified
Requirements & details
- Proven experience building and maintaining production data pipelines in a commercial or GTM data environment
- Strong understanding of CRM data models, APIs, and field management (HubSpot or comparable experience)
- Hands-on experience with reverse ETL patterns: pushing warehouse-enriched or warehouse-defined data back into operational tools
- Experience with BigQuery, Python, HubSpot, Zuora, and Vitally plus dbt, Fivetran/Census, or Airflow depending on background
- BigQuery, Python, HubSpot, Zuora, Vitally, dbt, Fivetran, Census, Airflow
- Python (Programming Language)
- HubSpot
