Senior AI Data Engineer: Data Products & RAG Foundations

Agilent Technologies Spain S.L.; Barcelona; Presencial; EUR 90.000 - 120.000; Jornada completa

Descripción de la vacante

Agilent Technologies Spain S.L. is seeking a Senior AI Data Engineer to drive data products and retrieval-ready assets for enterprise AI.

You will join a cross-functional AI pod, collaborating with AI engineers, domain experts, and platform teams to ensure governance, reuse, and scalable data foundations. You will design and implement AI-ready data pipelines, emphasizing data quality, lineage, and contracts, while applying retrieval foundations like vector search and embedding.

Formación

• 8+ years of relevant data engineering experience.
• Experience building AI-ready data products and pipelines.
• Familiarity with RAG foundations, embedding, and retrieval basics.
• Strong collaboration with data owners, stakeholders, and IT teams.

Responsabilidades

• Build AI-ready data products, pipelines, metadata, and retrieval-ready assets.
• Establish data quality standards, lineage, and governance for AI readiness.
• Partner with data owners, business stakeholders, and IT to align data models and meanings.
• Design retrieval foundations including vector search and semantic enrichment.

Conocimientos

Data engineering

RAG foundations

Microsoft Fabric

Snowflake

Vector databases

Graph stores

Data contracts

Data lineage

Communication

Growth mindset

Educación

Bachelor’s or Master’s degree

Herramientas

Microsoft Fabric

Snowflake

Vector databases

Graph stores

Descripción del empleo

Agilent Technologies Spain S.L. is seeking a Senior AI Data Engineer to drive data products and retrieval-ready assets for enterprise AI.

You will join a cross-functional AI pod, collaborating with AI engineers, domain experts, and platform teams to ensure governance, reuse, and scalable data foundations. You will design and implement AI-ready data pipelines, emphasizing data quality, lineage, and contracts, while applying retrieval foundations like vector search and embedding.