Agilent seeks a Senior AI Data Engineer in Barcelona to design and build data products and pipelines that enable AI-driven workflows across the enterprise. The role involves establishing data governance, quality standards, and retrieval foundations for AI systems, working cross-functionally with engineers, domain experts, and stakeholders. Experience with data quality, metadata management, and AI-ready data architectures is essential.
Responsibilities
- Build and maintain AI-ready data products and pipelines with governance, lineage, metadata, and access controls
- Establish data quality standards, quality scoring, and model-readiness criteria for reliable AI behavior
- Partner with data owners and stakeholders to establish trusted definitions and authoritative data sources
- Design retrieval foundations supporting AI applications including vector search and semantic enrichment




- Design and implement scalable ingestion, integration, and storage frameworks across cloud and on-premises

Requirements
- Strong data engineering experience building AI-ready data products
- Hands-on familiarity with Microsoft Fabric, Snowflake, vector databases, graph stores
- Experience with RAG foundations including chunking, embedding, hybrid retrieval
- Understanding of data contracts, lineage, and certification requirements
- Bachelor's or Master's degree in Computer Science, Engineering, or related field
- Excellent communication and ability to influence technical and non-technical audiences
- Curiosity about AI opportunities, limitations, and emerging approaches

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