Senior Data Engineer (Commercial Analytics)

Pleo
United Kingdom, Denmark, Portugal, Spain
Workplace: RemoteFull timeFunction: Data Analytics & Business IntelligenceSkills: ["Collaboration","Problem-solving","Stakeholder alignment","Driving alignment"]

Design and maintain commercial data integrations that connect CRM, billing, and customer success tooling to a central BigQuery warehouse. Own reverse ETL to keep operational systems in sync, implement data contracts with SLAs and schema agreements, and build monitoring to catch data quality issues early. Partner with RevOps and BAT to translate operational needs into reliable, governed pipelines as you help scale Pleo’s commercial data foundations for RevOps and AI.

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FursaFursa
Pleo
Pleo
1 day ago

Senior Data Engineer (Commercial Analytics)

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Source: Company careers pageValidated by: Fursa AI
Last checked: 14 hours agoStatus: Live

Job Summary

Design and maintain commercial data integrations that connect CRM, billing, and customer success tooling to a central BigQuery warehouse. Own reverse ETL to keep operational systems in sync, implement data contracts with SLAs and schema agreements, and build monitoring to catch data quality issues early. Partner with RevOps and BAT to translate operational needs into reliable, governed pipelines as you help scale Pleo’s commercial data foundations for RevOps and AI.
Location: United Kingdom, Denmark, Portugal, Spain
Workplace: Remote
Employment Type: Full time
Job Function: Data Analytics & Business Intelligence
Seniority: Mid level

Key Responsibilities

  • •Design, build, and maintain data pipelines between commercial tools (HubSpot, Zuora, Vitally) and a BigQuery data warehouse.
  • •Own reverse ETL flows to enrich/define warehouse data and push it back into operational tools while keeping definitions consistent across systems.
  • •Implement and maintain data contracts with clear ownership, SLAs, and schema agreements between data producers and consumers.
  • •Partner with RevOps and the BAT team to translate operational data requirements into reliable, governed pipelines.
  • •Build monitoring and alerting to catch data quality issues before they impact dashboards, reports, or downstream models.

Pay and Benefits

Perks:Meal AllowanceHealth InsurancePaid LeaveParental LeaveRemote Work

Key Requirements

  • •Proven experience building and maintaining production data pipelines in a commercial or GTM data environment.
  • •Extensive BigQuery experience and ability to design pipelines between commercial tools and a central warehouse.
  • •Strong understanding of CRM data models, APIs, and field management (e.g., HubSpot).
  • •Hands-on reverse ETL experience, pushing warehouse-enriched or warehouse-defined data back into operational tools.
  • •Experience implementing data contracts in production, plus Python proficiency for pipeline development and transformation logic.
Experience:SaaSGTMCommercial analytics
Skills:CollaborationProblem-solvingStakeholder alignmentDriving alignment
Languages:English
Tech Stack:BigQueryPythonHubSpotZuoraVitallyDbtFivetranCensusAirflowGitCI/CD

Eligibility

Work Authorization:Authorization required. Sponsorship not provided.

Company Brief

Pleo
Provides spend management software that helps businesses issue company cards, control expenses, automate reimbursements, and track team spending in one platform. Aims to simplify financial workflows for modern companies.
Industry: Fintech Infrastructure
Company Size: Large (251 to 1,000 employees)
Growth: Scaleup
Headquarters: Copenhagen, Denmark
Founded: 2015
WebsiteLinkedIn