Senior Data Engineer — Hybrid Madrid, Build Data Platform
Summary
Ebury is hiring a Senior Data Engineer in Madrid (hybrid, 4 days in-office) to build and scale its data platform on GCP — designing ETL pipelines, BI-ready data models, and Airflow orchestration. Core stack is Python, SQL, and Airflow with strong SDLC, testing, and CI/CD practices.
Ebury is seeking a Senior Data Engineer in Madrid, working a hybrid pattern (4 days in-office, 1 day remote). You will join a data-centric team to build, scale, and maintain our data platform, enabling data-driven decisions across the business.
Responsibilities include designing and deploying robust ETL pipelines, creating clean data models for BI, and modernizing orchestration with Airflow on GCP. Strong Python, SQL, and English are required, with a focus on SDLC, testing, and CI/CD.