Senior Data Engineer

Job description

Ebury helps ambitious businesses unlock global growth, and we take the same approach with our people. We encourage innovation and movement, collaboration and problem-solving, and foster an environment where everyone can feel they belong, are valued, supported and empowered to succeed. If you’re a collaborator who wants to help transform how businesses operate globally, get in touch - we’d love to discuss how Ebury can accelerate your career so you can shape the future. Senior Data Engineer Madrid Office - Hybrid: 4 days in the office, 1 day working from home At Ebury , our ambitious strategic growth plan is powered by data. We are looking for a Senior Data Engineer to join our collaborative Data Engineering team and help build the foundation for data-driven decisions across the entire business. Our Data team—comprising Data Scientists, Data Engineers, Analytics Engineers, and Data Analysts—is on a mission to build, scale, and maintain a world-class Data Platform. What You Will Do Build & Orchestrate: Design, deploy, and maintain robust ELT/ETL data pipelines from diverse sources (transactional databases, REST APIs, and file-based endpoints). Model & Warehouse: Collaborate on scalable data models to supply clean, structured data for BI tools and department-specific decision-making. Modernize & Optimize: Manage orchestration using Apache Airflow (GCP Cloud Composer) and leverage GCP native services (Cloud Run, GKE, Cloud Functions, Artifact Registry). Drive Engineering Excellence: Apply software engineering best practices (version control, CI/CD, testing, code reviews) while actively reducing technical debt. Automate & Empower: Automate end-to-end data workflows to eliminate manual extracts, freeing teams across Ebury to focus on high-value analysis. Govern & Refine: Help implement data quality standards, access controls, and data governance policies across the platform. Our Stack Cloud Infrastructure: Google Cloud Platform (GCP) Orchestration & Transformation: Apache Airflow, dbt & dbt Cloud CI/CD & Containers: Docker, Cloud Build Business Intelligence: Looker & Looker Studio Tooling & Management: GitHub, Jira Data Integration & Observability: Hevo Data, Synq / DataHub What We Are Looking For 3+ years in data engineering, with a track record of building, maintaining, and optimizing pipelines in big data environments. Strong proficiency in Python and SQL . Solid understanding of SDLC, testing, documentation (RFCs), and continuous deployment in a data environment. A strong curiosity to stay up to date with modern data industry standards, technologies, and best practices. Professional fluency in English. Nice-to-Haves Hands-on experience with key tools in our stack (dbt, GCP, Airflow, Looker). Strong grounding in dimensional modeling and data warehousing concepts. What We Offer Tailored Onboarding: A personalized 30/60/90-day plan with 1:1 mentorship from an experienced team member to set you up for success. High-Impact Work: Direct influence over platform architecture, data governance, and core business decisions. Collaborative Culture: A supportive environment where data modeling reviews, knowledge sharing, and best practices are actively encouraged. #LI-JC1&nb