Senior Data Engineer, Remote Growth Analytics & Pipelines

Pleo; United Kingdom; Hybrid; GBP 80,000 - 110,000; Full time

Benefits offered by this job

Pleo card

Lunch provided

Private healthcare

25 days holiday

Hybrid/remote options

Mental health support

Parental leave

Job summary

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

You will own reverse ETL flows, establish data contracts, and collaborate with analytics and engineering teams to ensure data quality and scalable pipelines. This role offers hybrid/remote options in the UK and requires strong BigQuery, Python, and

Qualifications

• 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.

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, 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 translate operational data requirements into reliable 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 for modelling.

Skills

Production data pipelines

CRM data models & APIs

Reverse ETL patterns

BigQuery

Data contracts

Python

Git CI/CD

Tools

HubSpot

Zuora

Vitally

BigQuery

dbt

Fivetran

Census

Airflow

Job description

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

You will own reverse ETL flows, establish data contracts, and collaborate with analytics and engineering teams to ensure data quality and scalable pipelines. This role offers hybrid/remote options in the UK and requires strong BigQuery, Python, and