OverviewAs a Senior AI Data Engineer, you will lead data product development within an AI-focused pod, enabling governance, reuse, and scalable AI-ready data foundations.

You collaborate with AI engineers, domain experts, and stakeholders to build pipelines, metadata, and retrieval-ready assets that power enterprise AI and scientific workflows.

You'll help shape the data foundation by contributing to governance, quality, and scalable data assets across on-premises and cloud environments.

This role offers impact through building reusable data products that drive trusted AI outcomes.

ResponsabilidadesBuild and maintain AI-ready data products and pipelines with governance, lineage, metadata, access controls, and documentation from day one

Design data products for reuse as enterprise capabilities, not just point integrations

Define data quality standards, quality scoring, and model-readiness criteria for reliable AI behavior

Partner with data owners, stewards, stakeholders, and IT to establish trusted definitions and authoritative sources

Design data retrieval foundations including vector search, grounding, and semantic enrichment

Apply AI-assisted techniques (metadata generation, entity resolution, content classification) to improve data quality and discoverability

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





Create reusable data assets and services to support AI engineers, data scientists, and analytics teams

Contribute data products, patterns, and documentation to the broader enterprise ecosystem

Ensure AI solutions are grounded in validated business meaning and data contracts

Maintain documentation and governance artifacts from inception to deployment

Drive reuse and automation to shorten data-to-build time

Requisitos principalesStrong data engineering experience building AI-ready data products beyond basic warehousing

Hands-on familiarity with Microsoft Fabric, Snowflake, vector databases, and graph stores

Experience with RAG foundations, including chunking, embeddings, hybrid retrieval, and understanding retrieval impact on AI behavior

Domain and product mindset with ability to work with data stewards and subject matter experts

Excellent communication and the ability to influence both technical and non-technical audiences

Curiosity and growth mindset with commitment to responsible AI implementation

Bachelor's or Master's degree in a related field or equivalent practical experience

8+ years of relevant experience for this level

Excellent communication

Influence and collaboration

Curiosity and growth mindset

AI-ready data products

Data governance and lineage

Metadata management

📌 Senior Ai Data Engineer, Data Products & Rag Foundations - Barcelona
🏢 Agilent Technologies
📍 Barcelona