Engineer - AI Platform

Ebury; Madrid, Málaga; Híbrido; EUR 55.000 - 85.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Competitive salary

Discretionary bonus

Open Source friendly

Descripción de la vacante

Ebury Madrid or Malaga Office is hiring a Data Engineer - AI Platform to join the Data Platform Engineering team. You will design and deliver core ADP components, enabling safe, scalable AI and agentic products across the data platform. Hybrid work model with 4 days in-office and 1 day from home.

Key focus on building secure data access layers, A2A communication and governance, while collaborating with cross-functional teams to advance AI initiatives and platform readiness.

Formación

• Hands-on experience operating production services on GCP, including Vertex AI, BigQuery, Cloud Run and Cloud Functions.
• Proficiency in Python for building platform services, data transformation and tooling.
• Experience building internal platforms consumed by other engineering teams.
• Strong software engineering fundamentals: API design, reliability, testing and operability.
• Experience with agentic or LLM-based systems in production is a strong plus.
• Fluency in English (Spanish a plus).
• Self-motivated and curious, with a desire to learn and grow in a fast-paced environment.

Responsabilidades

• 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" patterns, centralized policy guardrails, and audit logging with full replayability
• Provide end-to-end observability for agentic products: data dependencies, traces, evaluation signals, and accountability as a day-one requirement
• Integrate the ADP with the Data Platform's governed foundations — catalog, metadata, data warehouse, and vector retrieval
• Collaborate with domain teams to onboard pilot agents and help them adopt platform standards and runtime patterns
• Drive innovation and explore emerging technologies (LLM evaluation, prompt safety, agent memory) to enhance our AI platform capabilities

Conocimientos

GCP

Python

Data Platform

Platform engineering

LLM/Agentic

Herramientas

Vertex AI

BigQuery

Cloud Run

Cloud Functions

Descripción del empleo

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.

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 Platformto 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 replayability


• Provide end-to-end observability for agentic products: data dependencies, traces, evaluation signals, and accountability as a day-one requirement


• Integrate the ADP with the Data Platform's governed foundations — catalog, metadata, data warehouse, and vector retrieval


• Collaborate with domain teams to onboard pilot agents and help them adopt platform standards and runtime patterns


• Drive innovation and explore emerging technologies (LLM evaluation, prompt safety, agent memory) to enhance our AI platform capabilities

About you

• Self-motivation and curiosity, with a desire to learn and grow in a fast-paced environment, continuously improving both technical and business skills


• Platform engineering experience building internal platforms consumed by other engineering teams


• Strong software engineering fundamentals: API design, reliability, testing, and operability


• Experience building secure systems — authentication/authorization, audit logs, least-privilege access, and governance controls


• Hands-on experience operating production services on GCP, including services such as Vertex AI, BigQuery, Cloud Run, and Cloud Functions


• Proficiency in Python for building platform services, data transformation, and tooling


• Experience with agentic or LLM-based systems in production (evaluation, drift monitoring, prompt safety) is a strong plus


• Familiarity with data governance concepts — lineage, traceability, access controls — and data platform ecosystems is encouraged


• Fluency in English (Spanish, a plus)

If you're excited about this job opportunity but your background doesn't match exactly the requirements in the job description, we strongly encourage you to apply anyway. You may be just the right candidate for this or other positions we have.

#LI-JC1

#LI-HYBRID

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.