7 of 7 Remote/Hybrid Metadata Jobs in Berkshire

DataOps, DevOps, CI/CD pipelines, and Infrastructure as Code.Expertise in data modelling, data warehousing, and master data management principles.Strong understanding of data governance, metadata management, and data quality frameworks.Desirable Skills:Professional certifications in AWS, Azure, GCP, or Data Engineering.Experience within aerospace, defence, manufacturing, or highly regulated industries.Knowledge ...

/CD pipelines, and Infrastructure as Code. Expertise in data modelling, data warehousing, and master data management principles. Strong understanding of data governance, metadata management, and data quality frameworks. Desirable Skills: Professional certifications in AWS, Azure, GCP, or Data Engineering. Experience within aerospace, defence, manufacturing, or highly regulated industries. Knowledge ...

professional services organisationFamiliarity with cloud data platforms (e.g., AWS, Azure, GCP) and their data quality capabilitiesKnowledge of Master Data Management (MDM) and Metadata Management concepts.Experience with data quality tools specifically designed for unstructured data or text analyticsRelevant industry certifications e.g., DAMA Certified Data Management Professional (CDMP), Data Quality certifications)Bachelor ...

working in Reading and has been determined inside IR35.Skills & experience looking for: Data Architecture and Enterprise Data Design Databricks Syndigo Collibra Data Governance and Metadata Management Data Integration and Modern Data Platforms Stakeholder engagement across business and technology teams Desirable: Teradata Power BI Tableau Data migration or transformation programmes Master ...

other stakeholders. Drive adoption of new digital tools and processes through training, change management, and stakeholder engagement. Define appropriate access models, data governance, metadata standards, and controls for sensitive engineering and environmental information. Coordinate delivery across internal teams, suppliers, and system integrators. Monitor service performance, risks, technical debt, capacity ...

stakeholders. Drive adoption of new digital tools and processes through training, change management, and effective stakeholder engagement. Establish appropriate data models, naming conventions, metadata standards, and access controls. Coordinate delivery across internal teams, suppliers, and system integrators. Monitor service performance, technical debt, risks, and dependencies across digital engineering environments. Lead ...

engineering teams and partners. Drive adoption of new tools, processes, and frameworks through effective stakeholder engagement, training, and change management. Establish appropriate data models, metadata, naming conventions, and access controls for engineering information. Coordinate delivery across internal teams, suppliers, and system integrators. Monitor service performance, risks, capacity, technical debt ...