Ebury

4 days ago

Senior Data Engineer - AI Platform Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 11 hours agoStatus: Live

Job Summary

Design and deliver Ebury’s Agentic Data Plane (ADP), a governed layer that enables AI and agentic products to access data safely and reliably. Build core components such as agent-to-agent communication, tool registry, secure “on behalf of” patterns, and audit logging with full replayability. Provide end-to-end observability and integrate ADP with the data platform’s catalog, metadata, data warehouse, and vector retrieval, collaborating with domain teams to onboard pilot agents.

Location: Madrid, Malaga

Workplace: Hybrid

Employment Type: Full time

Job Function: DevOps, Cloud & Infrastructure

Seniority: Mid level

Key Responsibilities

•Design and deliver core components of the Agentic Data Plane, including agent-to-agent communication, an Agent Tool Registry, and governed data access layers.
•Build platform primitives for secure tool use coordination, including “on behalf of” patterns, policy guardrails, and audit logging with full replayability.
•Provide end-to-end observability for agentic products, including data dependencies, traces, evaluation signals, and accountability.
•Integrate ADP with governed data platform foundations such as catalog, metadata, data warehouse, and vector retrieval.
•Collaborate with domain teams to onboard pilot agents and help them adopt platform standards and runtime patterns.

Key Requirements

•Platform engineering experience building internal platforms consumed by other engineering teams.
•Strong software engineering fundamentals, including API design, reliability, testing, and operability.
•Experience building secure systems, including authentication/authorization, audit logs, least-privilege access, and governance controls.
•Hands-on production operations experience on GCP, including Vertex AI, BigQuery, Cloud Run, and Cloud Functions.
•Proficiency in Python and experience with agentic or LLM-based systems in production (evaluation, drift monitoring, prompt safety).

Experience:FintechOpen sourceAILLMAgentic systems

Skills:Self-motivationCuriosityCollaborationProblem-solving

Languages:EnglishSpanish

Tech Stack:GCPVertex AIBigQueryCloud RunCloud FunctionsPythonAPI designAudit loggingLLM evaluationPrompt safetyAgent memoryData governanceVector retrieval

Company Brief

Ebury

Provides international payments, FX, and treasury solutions for SMEs and mid-market companies, enabling cross-border transactions, multi-currency accounts, and financing services to support global trade and cash flow management.

Industry: Payments

Company Size: Enterprise (1,001+ employees)

Growth: Established Company

Funding: Private Equity Backed

Headquarters: London, United Kingdom

Founded: 2009

Website LinkedIn

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Ebury

4 days ago

Senior Data Engineer - AI Platform Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 11 hours agoStatus: Live

Job Summary

Location: Madrid, Malaga

Workplace: Hybrid

Employment Type: Full time

Job Function: DevOps, Cloud & Infrastructure

Seniority: Mid level

Key Responsibilities

•Design and deliver core components of the Agentic Data Plane, including agent-to-agent communication, an Agent Tool Registry, and governed data access layers.
•Build platform primitives for secure tool use coordination, including “on behalf of” patterns, policy guardrails, and audit logging with full replayability.
•Provide end-to-end observability for agentic products, including data dependencies, traces, evaluation signals, and accountability.
•Integrate ADP with governed data platform foundations such as catalog, metadata, data warehouse, and vector retrieval.
•Collaborate with domain teams to onboard pilot agents and help them adopt platform standards and runtime patterns.

Key Requirements

•Platform engineering experience building internal platforms consumed by other engineering teams.
•Strong software engineering fundamentals, including API design, reliability, testing, and operability.
•Experience building secure systems, including authentication/authorization, audit logs, least-privilege access, and governance controls.
•Hands-on production operations experience on GCP, including Vertex AI, BigQuery, Cloud Run, and Cloud Functions.
•Proficiency in Python and experience with agentic or LLM-based systems in production (evaluation, drift monitoring, prompt safety).

Experience:FintechOpen sourceAILLMAgentic systems

Skills:Self-motivationCuriosityCollaborationProblem-solving

Languages:EnglishSpanish

Tech Stack:GCPVertex AIBigQueryCloud RunCloud FunctionsPythonAPI designAudit loggingLLM evaluationPrompt safetyAgent memoryData governanceVector retrieval

Company Brief

Ebury

Industry: Payments

Company Size: Enterprise (1,001+ employees)

Growth: Established Company

Funding: Private Equity Backed

Headquarters: London, United Kingdom

Founded: 2009

Website LinkedIn