Experteer Overview In this Senior Data Engineer role, you will help build a scalable data platform that powers decision-making across Ebury. You will work within a collaborative data team to design and maintain robust ELT/ETL pipelines, data models, and governance practices. You’ll leverage GCP and modern orchestration to accelerate data-driven insights for the business. This is a hands-on, impact-driven position at a fast-growing fintech with a clear mission to enable global growth for clients.

Compensaciones / Ventajas • Design, deploy, and maintain ELT/ETL pipelines from diverse sources • Collaborate on scalable data models to feed BI and decision-making • Manage orchestration with Apache Airflow and GCP services • Apply software engineering best practices (version control, CI/CD, testing, code reviews)



• Automate end-to-end data workflows to reduce manual extraction • Contribute to data quality, access controls, and governance policies

Responsabilidades • 3+ years in data engineering with pipelines in big data environments • Proficiency in Python and SQL • Solid understanding of SDLC, testing, documentation, and continuous deployment in data environments • Curiosity about modern data technologies and best practices • Professional fluency in English

Requisitos principales • Tailored onboarding • High-impact work • Collaborative culture

📌 Senior Data Engineer (Madrid)
🏢 Ebury
📍 Madrid