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.
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.



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.
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.
~ Elasticsearch, OpenSearch, MongoDB or similar).
~ Experience applying LLMs to metadata work, such as drafting descriptions and classifications for human review, including quality evaluation of the generated output.

📌 Data Science Senior Engineer (Islas Baleares)
🏢 Intellias
📍 Islas Baleares