Senior Data Engineer - AI Platform
ebury Madrid
Experteer Overview
As a Senior Data Engineer on the AI Platform team, you will design and build the Agentic Data Plane to enable safe, scalable AI-enabled products. You will collaborate with cross-functional domain teams to deliver platform capabilities, governance, and data access abstractions.Your work will drive observability, security, and replayability across data and AI tools. This role offers hands-on impact in a fast-paced fintech environment with a strong Open Source ethos and opportunities to shape next-gen data platforms.
Compensaciones / Beneficios- Design and deliver core components of the Agentic Data Plane (A2A communication, Agent Tool Registry, governed data access)
- Build platform primitives for secure tool use coordination and policy guardrails
- Provide end-to-end observability for agentic products, including data dependencies and traces
- Integrate the ADP with governed data foundations (catalog, metadata, data warehouse, vector retrieval)
- Collaborate with domain teams to onboard pilot agents and promote platform standards
- Drive innovation by evaluating emerging AI technologies (LLM evaluation, prompt safety, agent memory)
- Platform engineering experience building internal platforms used by other engineering teams
- Strong software engineering fundamentals (API design, reliability, testing, operability)
- Experience building secure systems (authn/authz, audit logs, least-privilege)
- Hands-on experience operating production services on GCP (Vertex AI, BigQuery, Cloud Run, Cloud Functions)
- Proficiency in Python for platform services and data tooling
- Experience with agentic or LLM-based systems in production (plus)
- Familiarity with data governance concepts (lineage, access controls) and data platform ecosystems
- Fluency in English (Spanish a plus)
- Competitive salary and benefits package
- Discretionary bonus based on performance
- Continued personal development through training and certification
- Open Source friendly culture
- Hybrid work arrangement (4 days office, 1 day remote)
- Diverse, inclusive workplace across multiple locations
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