10 of 10 Permanent Metadata Jobs in Reading

DataOps, DevOps, CI/CD, and Infrastructure as Code Experience with data modelling, data warehousing, and master data management Knowledge of data governance, metadata management, and data quality frameworks Hands-on experience with technologies such as Azure Data Factory, Databricks, Snowflake, Microsoft Fabric, Airflow, or similar Excellent stakeholder management ...

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 ...

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

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 Data ...

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 ...

clients which improve compliance, efficiencies, and timeliness of deliverables to clients.Provide training and mentorship for the use of technology and systems, such as metadata repositories, to support IQVIA and client’s in their use.Assures that work delivered to clients meet minimum submission requirements as defined by FDA Guidance Documents ...

clients which improve compliance, efficiencies, and timeliness of deliverables to clients. Provide training and mentorship for the use of technology and systems, such as metadata repositories, to support IQVIA and client's in their use. Assures that work delivered to clients meet minimum submission requirements as defined by FDA Guidance ...

Support document and contract management processes, governance, and lifecycle management. Promote effective information classification, retention, archiving, and disposal. Improve the use of document repositories, metadata, version control, and information traceability. Collaborate with digital, data, and compliance teams to embed knowledge management into business processes. Deliver guidance and training on information … Support document and contract management processes, governance, and lifecycle management. Promote effective information classification, retention, archiving, and disposal. Improve the use of document repositories, metadata, version control, and information traceability. Collaborate with digital, data, and compliance teams to embed knowledge management into business processes. Deliver guidance and training on information ...