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# Data Engineer

- **Company:** Propertyvalue
- **Location:** Madrid, Spain
- **Contract:** Permanent contract
- **Skills:** Data Analysis, BigQuery, Software as a Service, Information Engineering, Extract Transform Load (ETL), Data Warehousing, Python (Programming Language), Performance Tuning, Power BI, SAP (Applications), SQL Databases, Tableau (Software), Data Processing, Google Cloud, Sql Optimization, Git, Data Lakes, Semi-structured Data, Hubspot, Looker Analytics, Software Version Control, Data Pipelines, Databricks
- **Published:** July 15, 2026
- **Apply:** https://es.trabajo.org/oferta-3206-4831af9fb0db551928bb9447300de851

## About the Role

daily stand-ups, reviews). - Thrive in a dynamic, high-growth, and fast-changing environment. - Continuously propose improvements in architecture, processes, and performance. Requirements - Proven experience as a Mid-Level Data Engineer. - Strong expertise in SQL (data modeling and performance optimization). - Solid experience with Python for data engineering. - Hands-on experience with Databricks. - Experience with Google Cloud Platform (BigQuery, GCS). - Previous experience in Revenue Operations, Sales, or Finance. - Knowledge of SaaS metrics (MRR, ARR, LTV, CAC, churn). - Strong understanding of: - ETL / ELT processes - Data Warehousing and Data Lakes - Dimensional data modeling - Experience with version control systems (Git). Nice to Have - Experience with BI tools. - International work experience. - Fluence in Spanish. - Advanced English it's good.

## Description

(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


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