Senior Data Engineer

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.

About us

Ebury delivers sophisticated, integrated solutions — business accounts, hedging, and financing — on a single platform with a seamless workflow. Our success is built on a simple premise and singular purpose: To help businesses operate and scale globally.

Since its founding in 2009, Ebury has always been a fast-growing leader in fintech. Today, we bring together 2000+ Eburians across nearly 70 cities and we’re always looking to add to our team.

At the heart of our offering is a proprietary platform, purpose-built to help businesses seamlessly streamline and manage global cash flow. We focus on continuous product evolution and innovation to build the infrastructure for borderless growth and help our clients scale at every stage.

The opportunities at Ebury are as diverse as our people, ranging from business development to engineering roles across our tech pillars.

We believe in inclusion. We stand against discrimination in all forms and are against the intolerance of differences that makes us a modern and successful organisation. At Ebury, you can be whoever you want to be and still feel a sense of belonging no matter your story.

Important Security Notice for Job Applicants:

Ebury only accepts applications via official Ebury channels. We will only contact you from an @ebury.com domain. Always check the emails you receive from us, and note that we will never request payment for any part of the recruitment process. Stay safe and report suspicious activity.

Notice to Recruitment Agencies and Search Firms:

Ebury does not accept unsolicited resumes, CVs, or candidate profiles from recruitment agencies or search firms without signed written Ebury recruitment terms in place for a specific role. Any unsolicited applications will be considered the sole property of Ebury. Ebury will not be responsible or liable for any placement fees or costs associated with unagreed candidate submissions or subsequent hires.

AI Transparency Statement:

Ebury uses Artificial Intelligence (AI) and automated tools to help streamline certain parts of our recruitment process, however, these tools are strictly for administrative efficiency. All hiring decisions, including application reviews, shortlisting, and final selections are evaluated and conducted by human talent acquisition professionals and hiring managers.

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.

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.

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 #LI-HYBRID

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.

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

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.