Ebury helps ambitious businesses unlock integral 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.

Hybrid : 4 days in the office, 1 day working from home

Join Our Data Team at

Ebury

Madrid or Malaga Office.

Ebury's strategic growth plan would not be possible without our Data team and we are seeking an

Data Engineer - AI Platform

to join our

Data Platform Engineering team

Our mission is to develop, maintain and improve Ebury's Data Platform — and we are now extending that mission to build the

Agentic Data Plane (ADP) : a unified, governed interfacing layer for AI and agentic products that abstracts communication and access to data whilst enforcing governance, lineage, traceability,



and full replayability.

As an AI Platform Engineer, you will work closely with the rest of the Data Platform team and cross‑functional domain teams to design and deliver the platform capabilities that let Ebury ship AI and agentic products safely and at scale.

What we offer

Competitive salary and benefits package

Discretionary bonus based on performance

Continued personal development through training and certification

We are Open Source friendly, following Open Source principles in our internal projects and encouraging contributions to external projects

Responsibilities

Design and deliver core components of Ebury's Agentic Data Plane, including agent‑to‑agent (A2A) communication, the Agent Tool Registry, and governed data access layers

Build platform primitives for secure tool use coordination, including "on behalf of" (OBO) patterns, centralized policy guardrails, and audit logging with full replayabi

📌 Engineer - AI Platform (Madrid)
🏢 Ebury Group
📍 Madrid