Job Description Agilent inspires and supports discoveries that advance the quality of life by providing life science, diagnostic and applied market laboratories worldwide with instruments, services, consumables, application and both measurement and asset management expertise. Builds the data products and pipelines a pod runs on; turns raw domain data into model-ready assets. they build the Fabric through execution, and this role is where that happens for the data plane. Every domain data product built in a pod is constructed to certification standards from the start, because the second consumer of the asset is the point, not an afterthought. AI consumption changes what "model-ready" means: data must be retrieval-ready, semantically annotated, contract-governed, and quality-scored, and the AI Data Engineer often uses agents to do the building, generating metadata, resolving entities, and classifying unstructured domain content rather than hand-curating at a scale that cannot hold. Responsible for Domain data products and pipelines serving the pod's use case,



built to the data plane's certification standards: semantic definition, data contract, entitlement metadata including agent identity, lineage, and certification tier from day one. Data quality and model-readiness, including quality scoring against the defined dimensions and the quality signals that feed the evals spine; when quality falls below threshold, this role is the one who says so before the agent does something embarrassing with it. Working relationships with the domain's data owners and stewards, so that steward-validated definitions and certified sources ground the pod's retrieval rather than whatever was easiest to reach. AI-built curation in practice: deploying metadata generation, entity resolution, and content classification agents against the domain's data, contributing those outputs to the registry. Reusable assets back to the Fabric: every domain data product is a candidate for certification and

📌 AI Data Engineer (España)
🏢 ES00 Agilent Technologies Spain
📍 España