Job Description
Agilent helps laboratories around the world advance scientific discovery,diagnostics, and applied market solutions through instruments,software, consumables, services, and deep domain expertise.
About the role:
Senior AI Data Engineer, Data Products & RAG Foundations, you will be a data engineering SME within a cross-function AI pod, working alongside AI engineers, domain experts, business stakeholders, data owners, and platform teams. Your role is to build data products, pipelines, metadata, and retrieval-ready assets that power AI-enabled business and scientific workflows across the enterprise.
Pods do not wait for the enterprise data foundation to be complete; they help build it through execution. Every data product created by the pod is designed for governance, reuse, and long-term value, with the next consumer in mind from day one.
This role goes beyond traditional data engineering. You will work with structured and unstructured data, semantic definitions, quality scoring, lineage, contracts, embeddings, vector search, and retrieval foundations for AI systems.



You will also leverage AI-assisted techniques, such as metadata generation, entity resolution, and content classification, to create trusted, AI-ready data products at scale.
You do not need prior experience with Agilent’s internal data architecture. We are looking for a strong data engineer who understands data quality, governance, and AI-ready data foundations and is excited to help shape the future of enterprise AI at Agilent.
What you will do:
Data Products & Governance
- Build and maintain AI-ready data products and pipelines for the pod's use case, ensuring appropriate governance, lineage, metadata, access controls, and documentation from the start.
- Design data products for reuse, treating every asset as a potential enterprise capability rather than a point integration.

Data Quality and Trust
- Establish data quality standards, quality scoring, and model-readiness criteria that su

📌 Senior AI Data Engineer, Data Products (Barcelona)
🏢 Agilent
📍 Barcelona