Senior Data Engineer (Metadata & Lineage Integration)
Location: Remote from Spain (an indefinite Spanish employment contract)

Our client is a leading general investment management company headquartered in London. It manages over $228 billion in assets and serves institutional investors, pension funds, wealth managers, and other sophisticated clients worldwide. The firm specializes in quantitative investing, alternative investments, systematic trading strategies, and technology-driven asset management. Data science, machine learning, and AI are core components of its investment and research processes.
As part of our collaboration we will focus on two foundational capabilities required to enable safe and scalable AI adoption across the enterprise: Agentic Security and AI-Ready Data Foundations.
Project Overview:
We build the data foundations that make AI useful and safe inside regulated financial firms. The value of AI is capped by the data its agents can reach: if an agent cannot find, interpret, trace or be correctly permissioned against data, the capability is useless, or worse,



unsafe. Your job is to close that gap.
This is a hands-on senior role for an excellent Python engineer with strong data-engineering skills who is genuinely comfortable building with AI agents. You will design and build the catalogue, semantic, entitlement and analytical layers that turn large on-premise data estates into something agents can use.
Requirements:
5+ years building production data systems in Python, with strong engineering fundamentals (testing, code review, performance) and solid SQL.
Experience building crawlers, harvesters or connector frameworks that extract inventories, schemas, field dictionaries and lineage from databases, filesystems, message platforms and API surfaces, in addition to conventional data pipelines.
Event-driven integration with Kafka or similar, including secure producer patterns (mTLS or equivalent) and schema-managed topics.
Experience with search and d

📌 Senior Data Engineer (España)
🏢 Intellias
📍 España