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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 xugodme
- 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
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