6 of 6 Metadata Jobs in West Sussex

assurance reviews. Skills & Experience: Proven experience leading data quality initiatives in large or regulated organisations. Strong understanding of data governance, data management, and metadata practises. Hands-on experience with data quality tooling (e.g., Microsoft Purview, Informatica, Collibra, Talend). Familiarity with cloud-based data architectures (Azure, Databricks, Power BI). ...

assurance reviews. Skills & Experience: Proven experience leading data quality initiatives in large or regulated organisations. Strong understanding of data governance, data management, and metadata practises. Hands-on experience with data quality tooling (e.g., Microsoft Purview, Informatica, Collibra, Talend). Familiarity with cloud-based data architectures (Azure, Databricks, Power BI). ...

Architecture: Design and implement scalable Databricks Lakehouse solutions with Delta Lake for optimized storage and analytics. Data Governance & Cataloging: Establish data cataloging, lineage, and metadata management for improved discoverability. Performance Optimization: Tune Spark/PySpark jobs for efficiency in large-scale data processing. Data Modelling & Quality: Develop dimensional/data ...

management, including lineage, observability, access control, and compliance with ethical data use. Innovation&standards: Stay ahead of industry trends in data architecture, engineering, and metadata/semantic technologies—and bring them into practice where they add value. Enterprise data architecture: Collaborate with other architects to define and implement data architecture ...

scalable data solutions using Microsoft Fabric, following the Medallion architecture (Bronze/Silver/Gold) Define workspace structures, governance frameworks, and naming conventions Build metadata-driven ingestion pipelines for diverse sources including: Dynamics 365/Dataverse, Business Central, SharePoint-hosted Excel files, SQL/ODBC/legacy systems, REST/ ...

Develop project-specific SOPs, QA rubrics, and reference materials to ensure outputs meet high linguistic and client standards. Review project outputs (annotations, transcriptions, glosses, metadata, video labeling) against technical standards, flagging and correcting errors before client delivery. Perform structured QA passes on daily/weekly deliverables; identify, track, and resolve ...