Ebury helps ambitious businesses unlock general 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

📌 Senior Data Engineer (Madrid)
🏢 ebury anz
📍 Madrid