Senior Data Engineer: Growth Analytics & Pipelines

Pleo; Madrid; Híbrido; EUR 70.000 - 110.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Pleo card

Lunch provided

Private healthcare

25 days holiday

Hybrid/Remote options

Mental health support

Parental leave

Descripción de la vacante

Pleo is seeking a Senior Data Engineer to join Growth Intelligence. You will design and maintain the integration architecture linking CRM, billing, and customer success tooling to a central BigQuery warehouse, enabling RevOps and AI initiatives.

You’ll partner with analytics and engineering teams to ensure scalable, governable data foundations across multiple systems. You’ll work with a modern stack including BigQuery, Python, HubSpot, Zuora, and Vitally, with dbt, Fivetran/Census, or Airflow

Formación

• Proven experience building and maintaining production data pipelines in a commercial or GTM data environment.
• Hands-on experience with reverse ETL patterns: pushing warehouse-enriched data back into operational tools.
• Extensive BigQuery experience and Python proficiency for pipeline development.

Responsabilidades

• 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.
• Implement and maintain data contracts with clear ownership, SLAs, and schema agreements.
• Partner with RevOps and the BAT team to translate operational data requirements into reliable pipelines.
• Build monitoring and alerting to catch data quality issues before dashboards are affected.
• Centralise data flows through the warehouse to reduce point-to-point integrations.

Conocimientos

Data pipelines

Reverse ETL

BigQuery

Python

Herramientas

BigQuery

Python

HubSpot

Zuora

Vitally

dbt

Fivetran

Census

Airflow

Descripción del empleo

Pleo is seeking a Senior Data Engineer to join Growth Intelligence. You will design and maintain the integration architecture linking CRM, billing, and customer success tooling to a central BigQuery warehouse, enabling RevOps and AI initiatives.

You’ll partner with analytics and engineering teams to ensure scalable, governable data foundations across multiple systems. You’ll work with a modern stack including BigQuery, Python, HubSpot, Zuora, and Vitally, with dbt, Fivetran/Census, or Airflow