Experteer Overview In this Senior Data Engineer role, you will help build and scale a world-class data platform that enables data-driven decisions across the business. You’ll join a collaborative data team to design robust ELT/ETL pipelines and scalable data models that feed BI tools and cross-functional decisions. You’ll apply software engineering best practices to reduce technical debt and automate end-to-end data workflows. This position offers hands-on impact on platform architecture, governance, and strategic growth at Ebury.Compensaciones / Ventajas• Design, deploy, and maintain robust ELT/ETL pipelines from diverse sources• Collaborate on scalable data models for clean, structured data for BI tools• Manage orchestration with Apache Airflow (GCP Cloud Composer) and leverage GCP services• Apply software engineering best practices (VCS, CI/CD, testing, code reviews)



to reduce technical debt• Automate end-to-end data workflows to free teams for high-value analysis• Help implement data quality standards, access controls, and data governance policiesResponsabilidades• 3+ years in data engineering with pipelines in big data environments• Strong proficiency in Python and SQL• Understanding of SDLC, testing, documentation and CI/CD in data environments• Curiosity about modern data standards, technologies, and best practices• Professional fluency in EnglishRequisitos principales• Tailored onboarding 30/60/90-day plan• High-impact platform architecture influence• Collaborative culture and knowledge sharing

📌 Senior Data Engineer (Madrid)
🏢 Ebury
📍 Madrid