Messy spend management is tricky business. And tedious processes are a lose-lose situation for all involved, not just finance. We build spend solutions that make managing money seamless, empowering, and surprisingly effective for finance teams and employees alike - with a vision to help all businesses 'go beyond'.

Messy spend management is tricky business. And tedious processes are a lose-lose situation for all involved, not just finance. We build spend solutions that make managing money seamless, empowering, and surprisingly effective for finance teams and employees alike - with a vision to help all businesses 'go beyond'.

With great ambitions driving us forward, we can't say we've got this whole thing figured out. Use this time to submit a high quality application that will showcase your strengths. We're looking for a Senior Data Engineer to join our Growth Intelligence team at Pleo.

In this role, you'll design and maintain the integration architecture and data contracts that connect our commercial and GTM data layer (the pipelines linking our CRM, billing, and customer success tooling to a central BigQuery warehouse) and be part of the team as we scale our commercial data foundations to support RevOps, Customer Success, and the AI products built on top of them. If you're excited about untangling complex, multi-system architecture and are passionate about building data foundations the whole business can trust, then this is the opportunity for you! You'll report to the Senior Manager of Growth Intelligence and work closely with the RevOps and the BAT (Business Architecture & Technology) teams to understand what commercial operations needs from data.

Our team is highly collaborative and dedicated to keeping Pleo's commercial and GTM data trustworthy and well-governed. You'll also partner with Analytics Engineers to ensure pipeline outputs are modelling-ready,



and engage upstream with tool owners and engineering teams to push data quality and schema discipline closer to the source. What You'll Be Doing 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 (tool owners, product engineers) and data consumers (analysts, RevOps, AI tooling). 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, operational reports, or downstream models. Simplify integration architecture by centralising data flows through the warehouse, reducing point-to-point tool integrations and the maintenance burden that comes with them. Engage upstream with tool owners and engineering teams to move data quality and schema discipline closer to the source.

Our commercial data stack connects subscription billing (Zuora), CRM (HubSpot), and customer success tooling (Vitally) to a central BigQuery data warehouse. BigQuery, Python, HubSpot, Zuora, and Vitally plus dbt, Fivetran/Census, or Airflow depending on your background.



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.

You can comfortably work with a wide variety of data sources and can operate within a complex multi-system environment. You truly shine at solving problems and driving alignment between GTM/commercial stakeholders. You have never collaborated with senior stakeholders on GTM / commercial analytics work.

Become familiar with our data ecosystem and codebase. Support to drive a HubSpot reimplementation project from the data side. Collaborate with Data Platform & Analytics Engineers as well as GTM teams to improve or commercial analytics efforts.

We can hire on a remote, hybrid or in-person set-up in any of the locations listed on the advert but you will need to be physically based in the country of your choice with a valid right to work. We are unable to offer visa sponsorship for this role in any of the listed locations. Lunch is on us for your work days - enjoy catered meals or receive a lunch allowance based on your local office We offer 25 days of holiday + your public holidays For our Team, we offer both hybrid and fully remote working options A 30-minute chat with our Talent Partner to discuss the role and your background.

Core skills tests: An async coding exercise through our CoderPad third party platform. A 60-minute chat with your Manager to deep dive into

📌 Senior Data Engineer (Commercial Analytics) (Madrid)
🏢 Pleo
📍 Madrid