Job DescriptionWe are seeking an experienced Data Governance & Quality Engineer to play a key role in shaping Agilent's modern data management landscape.In this role, you will combine data governance, metadata management, and data quality expertise to ensure business-critical data assets are governed, discoverable, trusted, and ready to support operational, analytical, and AI-driven use cases.

Obtenga más información sobre las tareas generales relacionadas con esta oportunidad a continuación, así como sobre las habilidades requeridas.
You will help establish and maintain governance processes for data assets within Microsoft Fabric and enterprise data catalog environments, while partnering with business stakeholders, data owners, architects, and analytics teams to improve the quality, usability, and transparency of commercial data.This role is idóneo for a professional who enjoys working at the intersection of business processes, technology,



and data governance and who wants to help build the foundation for the next generation of analytics and AI capabilities.Key ResponsibilitiesData Governance & Metadata ManagementGovern critical data assets by defining and maintaining metadata, business definitions, ownership, stewardship responsibilities, classifications, quality requirements, and certification criteria.Manage enterprise data catalog content, business glossary entries, lineage documentation, and impact analysis to keep data assets discoverable, understandable, and trusted.Partner with data owners and subject matter experts to establish governance standards, accountability models, and processes for semantic models, governed data products, and enterprise reporting assets.Modern Data Platforms & AnalyticsSupport Agilent's adoption of Microsoft Fabric, Power BI, Snowflake, and modern data management capabilities, with a focus on governed, reusable, and business-ready data assets.Use SQL, Snowflake, Power BI, and related tools to analyze data, validate governance contr

📌 Data Governance (España)
🏢 Agilent Technologies
📍 España