Senior AI Data Engineer: Data Products & Retrieval

Agilent Technologies Spain S.L.

Barcelona

Vor Ort

EUR 90.000 - 130.000

Vollzeit

Vor 2 Tagen
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Zusammenfassung

Agilent Technologies Spain S.L. seeks a Senior AI Data Engineer, Data Products & RAG Foundations, to build AI-ready data products and governance across the enterprise.

You will work with AI engineers, domain experts, and platform teams to enable scalable, trusted data assets and retrieval-ready pipelines. The role emphasizes data quality, lineage, and embedding retrieval foundations to support AI-enabled workflows across environments, including cloud and on-premises.

Qualifikationen

  • 8+ years of relevant experience in data engineering or AI data platforms.
  • Experience delivering AI-ready data products with governance, quality and lineage.
  • Familiarity with retrieval-augmented generation foundations and scalable data architectures.

Aufgaben

  • Build and maintain AI-ready data products and pipelines.
  • Establish data quality standards, scoring, and model-readiness criteria.
  • Partner with data owners and stakeholders to define trusted data models.
  • Design retrieval foundations, including vector search and grounding for AI apps.
  • Deliver reusable data assets and tools for AI engineers and analytics teams.

Kenntnisse

RAG foundations
Data quality
Data governance
Domain-driven mindset
Communication & influence
Curiosity & growth mindset

Ausbildung

Bachelor’s or Master in CS/Engineering/IS/Data Science

Tools

Microsoft Fabric
Snowflake
Vector databases
Graph stores

Jobbeschreibung

Agilent Technologies Spain S.L. seeks a Senior AI Data Engineer, Data Products & RAG Foundations, to build AI-ready data products and governance across the enterprise.

You will work with AI engineers, domain experts, and platform teams to enable scalable, trusted data assets and retrieval-ready pipelines. The role emphasizes data quality, lineage, and embedding retrieval foundations to support AI-enabled workflows across environments, including cloud and on-premises.

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