Senior Data Engineer - AI Platform Engineer

Hybrid – 4 days in the office, 1 day remote. Locations: Madrid or Malaga Office.

Overview

Join Ebury’s Data Platform Engineering team to develop the Agentic Data Plane (ADP), a unified, governed interface layer for AI and agentic products that abstracts communication and access to data while enforcing governance, lineage, traceability, and replayability.

Responsibilities

- Design and deliver core components of the ADP, 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.

Qualifications

- Self‑motivation and curiosity,



with a desire to learn and grow in a fast‑paced environment.
- 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 (Vertex AI, BigQuery, Cloud Run, 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).

Benefits

- Competitive salary and benefits package.
- Discretionary bonus based on performance.
- Continued personal development through training and certification.
- Open‑source friendly culture, encouraging contributions to external projects.

Inclusion Statement

Ebury believes in inclusion and stands against discrimination in all forms. We value diverse perspectives and encourage applicants from all backgrounds to apply.

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📌 Engineer - AI Platform (Madrid)
🏢 PVH (Tommy Hilfiger/Calvin Klein)
📍 Madrid