We are looking for a Mid-Level Data Engineer to join our Revenue Operations team, responsible for building, scaling, and maintaining data pipelines that support strategic revenue decisions.

Todos los candidatos deben asegurarse de leer atentamente la siguiente descripción del puesto y la información antes de enviar su solicitud.
This role plays a key part in connecting data across Marketing, Sales, Customer Success, and Finance, ensuring high data quality, reliability, and availability.

The position requires on-site presence in Madrid, with close collaboration across cross-functional teams in a fast-paced and constantly evolving environment.

Responsibilities

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- Design, build, and maintain scalable and reliable data pipelines (ETL/ELT).
- Develop and optimize analytical data models (bronze, silver, and gold layers).
- Ensure data quality, governance, and consistency.
- Monitor pipelines, proactively identify bottlenecks, and resolve failures.
- Work with large volumes of structured and semi-structured data.

Revenue Operations

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- Integrate data from multiple sources, including:




- CRM systems (e.g., HubSpot)
- Marketing platforms
- Financial and billing systems (SAP)
- Build datasets to support analysis of:
- Sales funnel and pipeline
- Revenue forecasting
- Recurring revenue (MRR, ARR)
- Churn, retention, and expansion
- Performance metrics for SDRs, AEs, and CSMs
- Support the development of strategic KPIs and metrics for leadership and C-level stakeholders.
- Partner closely with data analysts, RevOps, and business teams.
- Use Databricks for data processing, transformation, and orchestration.
- Work extensively with advanced SQL and Python.
- Leverage the Google ecosystem, including:
- BigQuery
- Google Sheets (automation and integrations)
- Enable BI tools and dashboards (e.g., Looker, Power BI, Tableau).

Collaboration & Environment

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- Collaborate closely with business teams, translating requirements into technical solutions.
- Participate actively in a

📌 Data Engineer, Revenue Operations (Madrid)
🏢 Blip Global
📍 Madrid