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.
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
Data Engineering (Core)
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
Integrate data from multiple sources, including:
CRM systems (e.g., HubSpot)
Marketing platforms
Financial and billing systems (SAP)
Product data sources
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.
Technology & Tools
Use Databricks for data processing, transformation, and orchestration.
Work extensively with advanced SQL and Python.
Leverage the Google ecosystem, including:
BigQuery
Google Cloud Storage
Google Sheets (automation and integrations)
Enable BI tools and dashboards (e.g., Looker, Power BI, Tableau).
Collaboration & Environment
Collaborate closely with business teams, translating requirements into technical solutions.
Participate actively in agile ceremonies (planning, daily stand‑ups, reviews).
Thrive in a dynamic, hi
📌 Data Engineer Revenue Operations (Madrid)
🏢 Blip
📍 Madrid