Experteer Overview

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As an AI Data Engineer, you will build domain data products and pipelines that are ready for AI consumption and certified from day one. You will shape retrieval-ready, semantically annotated, contract-governed data assets that power pod use cases and enable enterprise reuse. The role blends data engineering with AI-focused governance, quality scoring, and agent-enabled curation to scale data delivery across the platform. You will collaborate with data owners, stewards, and IT to ground pod data in reliable sources and drive measurable improvements in data-to-build time. This is a hands-on, cross-functional role at the intersection of data engineering, AI, and governance.

Compensaciones / Ventajas
• Build domain data products and pipelines to the data plane's certification standards (semantic definition, contracts, entitlement metadata, lineage).




• Ensure data quality and model-readiness with defined quality scoring and signals for evaluation pipelines.
• Collaborate with domain data owners and stewards to ground retrieval on steward-validated sources.
• Develop retrieval foundations (structured/unstructured grounding, vector/graph assets) on the platform estate.
• Apply AI-built curation (metadata generation, entity resolution, content classification) and contribute outputs to the data registry.
• Create reusable data assets for certification and enterprise reuse, handing them to the data plane for promotion.
• Work with business teams and IT to model domain data, and design data collection frameworks for large-scale data ingestion.
• Establish data set processes, data structures, and storage strategies across multiple sources and formats.
• Advise on design standards and assurance processes to ensure data connections and storage meet requirements.
• Develop data tools for analytics and data scientist teams

📌 AI Data Engineer (Barcelona)
🏢 Agilent Technologies
📍 Barcelona