ppWe are looking for a bMid-Level Data Engineer /b to join our bRevenue Operations /b team, responsible for building, scaling, and maintaining data pipelines that support strategic revenue decisions. /p pThis role plays a key part in connecting data across bMarketing, Sales, Customer Success, and Finance /b, ensuring high data quality, reliability, and availability. /p pThe position requires bon-site presence in Madrid /b, with close collaboration across cross-functional teams in a fast-paced and constantly evolving environment. /p h3bResponsibilities /b /h3 ul liDesign, build, and maintain bscalable and reliable data pipelines /b (ETL/ELT). /li liDevelop and optimize banalytical data models /b (bronze, silver, and gold layers). /li liEnsure bdata quality, governance, and consistency /b. /li liMonitor pipelines, proactively identify bottlenecks, and resolve failures. /li liWork with large volumes of structured and semi-structured data. /li /ul h3bRevenue Operations /b /h3 ul liIntegrate data from multiple sources, including: /li liCRM systems (e.g., HubSpot) /li liMarketing platforms /li liFinancial and billing systems (SAP) /li liBuild datasets to support analysis of: /li liSales funnel and pipeline /li liRevenue forecasting /li liRecurring revenue (MRR, ARR) /li liChurn, retention, and expansion /li liPerformance metrics for SDRs, AEs, and CSMs /li liSupport the development of strategic KPIs and metrics for leadership and C-level stakeholders. /li liPartner closely with data analysts, RevOps, and business teams. /li liUse bDatabricks /b for data processing,



transformation, and orchestration. /li liWork extensively with badvanced SQL /b and bPython /b. /li liLeverage the bGoogle ecosystem /b, including: /li liBigQuery /li liGoogle Sheets (automation and integrations) /li liEnable BI tools and dashboards (e.g., Looker, Power BI, Tableau). /li /ul h3bCollaboration Environment /b /h3 ul liCollaborate closely with business teams, translating requirements into technical solutions. /li liParticipate actively in agile ceremonies (planning, daily stand-ups, reviews). /li liThrive in a bdynamic, high-growth, and fast-changing environment /b. /li liContinuously propose improvements in architecture, processes, and performance. /li /ul h3bRequirements /b /h3 ul liProven experience as a bMid-Level Data Engineer /b. /li liStrong expertise in bSQL /b (data modeling and performance optimization). /li liSolid experience with bPython /b for data engineering. /li liHands-on experience with bDatabricks /b. /li liExperience with bGoogle Cloud Platform /b (BigQuery, GCS). /li liPrevious experience in bRevenue Operations /b, Sales, or Finance. /li liKnowledge of bSaaS metrics /b (MRR, ARR, LTV, CAC, churn). /li liStrong understanding of: /li liETL / ELT processes /li liData Warehousing and Data Lakes /liliDimensional data modeling /li liExperience with version control systems (Git). /li /ul h3bNice to Have /b /h3 ul liExperience with BI tools. /liliInternational work experience. /li liFluence in Spanish. /li liAdvanced English is good. /li /ul /p #J-18808-Ljbffr

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