Senior Data Engineer (Commercial Analytics)
New
P
PleoFintech, Spend Management
London, Lisbon, Copenhagen, MadridFull-TimeSenior
Salary not disclosed
Apply NowOpens the employer's application page
Job Details
- Languages
- English
- Required Skills
- PythonGitAirflowHubSpotBigQuerydbt
Requirements
- 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.
- Extensive BigQuery experience.
- Experience implementing data contracts in a production environment.
- Python proficiency for pipeline development, transformation logic, and tooling.
- Git-based workflows and CI/CD experience for data engineering code.
- Experience operating within a SaaS organization.
- Proficiency in English.
Responsibilities
- Design, build, and maintain data pipelines between commercial tools (HubSpot, Zuora, Vitally) and our BigQuery data warehouse.
- Own reverse ETL flows: enrich or define data in the warehouse and push it back into operational tools like HubSpot.
- 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 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 or downstream models.
- Simplify integration architecture by centralising data flows through the warehouse.
- Work with Analytics Engineers to ensure pipeline outputs are structured and documented for downstream modelling.
View Full Description & ApplyYou'll be redirected to the employer's site
