AI Data Engineer: Build Model-Ready Data Pipelines

Agilent; España; Presencial; EUR 60.000 - 90.000; Jornada completa

Descripción de la vacante

Agilent seeks an AI Data Engineer to build domain data products and pipelines for model-ready consumption. You will ensure semantic annotation, data contracts, and quality scoring from day one, working with both on-premise and cloud data assets.

The role involves deploying agents for metadata generation, entity resolution, and content classification, and collaborating with data owners to ground the pod's retrieval foundations.

Formación

• Strong data engineering with AI-focused data products.
• Experience building retrieval-ready, semantically annotated data.
• Familiarity with data contracts, lineage, and certification.

Responsabilidades

• Develop domain data products and pipelines for AI consumption.
• Ensure data quality and model-readiness with validation signals.
• Collaborate with data owners and stewards to ground pod data.
• Create grounding, retrieval, and storage foundations for the pod.
• Deploy metadata generation and entity resolution agents.
• Promote reusable assets and certify data products for enterprise use.

Conocimientos

Data engineering for AI

Retrieval-ready data

Semantic data contracts

Platform tech familiarity

Herramientas

Microsoft Fabric

Snowflake

Vector stores

Graph stores

Descripción del empleo

Agilent seeks an AI Data Engineer to build domain data products and pipelines for model-ready consumption. You will ensure semantic annotation, data contracts, and quality scoring from day one, working with both on-premise and cloud data assets.

The role involves deploying agents for metadata generation, entity resolution, and content classification, and collaborating with data owners to ground the pod's retrieval foundations.