Senior AI Data Engineer, Data Products

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