Senior Data Engineer, Growth Analytics & Data Pipelines

Pleo; Lisboa; Híbrido; EUR 90 000 - 120 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Health insurance

25 days holiday + public holidays

Remote or hybrid options

Resumo da oferta

Pleo is hiring a Senior Data Engineer to join the Growth Intelligence team in Lisbon. You’ll design and maintain the integration architecture connecting our commercial and GTM data layer to a central BigQuery warehouse, enabling RevOps, Customer Success, and AI initiatives.

You will work on data contracts, pipelines, and governance across tools like HubSpot, Zuora, and Vitally, ensuring scalable, reliable data foundations for the business.

Qualificações

• 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.
• 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.

Responsabilidades

• 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, 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, reports, 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.
• Engage upstream with tool owners and engineering teams to move data quality and schema discipline closer to the source.

Conhecimentos

Data pipelines

BigQuery

Python

HubSpot

Zuora

Vitally

dbt

Fivetran/Census

Airflow

Ferramentas

HubSpot

Zuora

Vitally

BigQuery

Python

Descrição da oferta de emprego

Pleo is hiring a Senior Data Engineer to join the Growth Intelligence team in Lisbon. You’ll design and maintain the integration architecture connecting our commercial and GTM data layer to a central BigQuery warehouse, enabling RevOps, Customer Success, and AI initiatives.

You will work on data contracts, pipelines, and governance across tools like HubSpot, Zuora, and Vitally, ensuring scalable, reliable data foundations for the business.