We are looking for aMid-Level Data Engineerto join ourRevenue Operationsteam, responsible for building, scaling, and maintaining data pipelines that support strategic revenue decisions.This role plays a key part in connecting data acrossMarketing, Sales, Customer Success, and Finance, ensuring high data quality, reliability, and availability.The position requireson-site presence in Madrid, with close collaboration across cross-functional teams in a fast-paced and constantly evolving environment.Responsibilities1. Data Engineering (Core)Design, build, and maintainscalable and reliable data pipelines(ETL/ELT).Develop and optimizeanalytical data models(bronze, silver, and gold layers).Ensuredata quality, governance, and consistency.Monitor pipelines, proactively identify bottlenecks, and resolve failures.Work with large volumes of structured and semi-structured data.2. Revenue OperationsIntegrate data from multiple sources, including:CRM systems (e.G., Hub Spot)Marketing platformsFinancial and billing systems (SAP)Product data sourcesBuild datasets to support analysis of:Sales funnel and pipelineRevenue forecastingRecurring revenue (MRR, ARR)Churn, retention, and expansionPerformance metrics for SDRs, AEs, and CSMsSupport the development of strategic KPIs and metrics for leadership and C-level stakeholders.Partner closely with data analysts, Rev Ops, and business teams.3.



Technology & ToolsUseDatabricksfor data processing, transformation, and orchestration.Work extensively withadvanced SQLandPython.Leverage theGoogle ecosystem, including:Big QueryGoogle Cloud StorageGoogle Sheets (automation and integrations)Enable BI tools and dashboards (e.G., Looker, Power BI, Tableau).4. Collaboration & EnvironmentCollaborate closely with business teams, translating requirements into technical solutions.Participate actively in agile ceremonies (planning, daily stand-ups, reviews).Thrive in adynamic, high-growth, and fast-changing ntinuously propose improvements in architecture, processes, and performance.RequirementsProven experience as aMid-Level Data Engineer.Strong expertise inSQL(data modeling and performance optimization).Solid experience withPythonfor data engineering.Hands-on experience withDatabricks.Experience withGoogle Cloud Platform(Big Query, GCS).Previous experience inRevenue Operations, Sales, or Finance.Knowledge ofSaa S metrics(MRR, ARR, LTV, CAC, churn).Strong understanding of:ETL / ELT processesData Warehousing and Data LakesDimensional data modelingExperience with version control systems (Git).Nice to HaveExperience with BI tools.International work experience.Fluence in Spanish.Advanced English it’s good.

📌 Data Engineer Revenue Operations (Madrid)
🏢 Blip.pt
📍 Madrid