326 to 350 of 639 Metadata Jobs in the UK

expertise, strategic thinking, and collaborative leadership to make data available for AI/analytics, provide transparency into data flows, embed preventative controls, and enrich metadata to accelerate adoption. Job Responsibilities Provision New/Different Data - Make data available for AI and analytics initiatives, working closely with use case owners … quality (COPQ) and Demonstrate control environment improvements and reduction in toil to achieve benefits through common tooling and frameworks Uplift Existing Data - Uplift the metadata (semantic layer) of existing data to make it more valuable to users and AI applications (AKA "Brownfield" data enrichment) and Support AI and Natural Language ...

identification to resolution, improving client experience and driving operational efficiencyDemonstrate control environment improvements and reduction in toil through common tooling and frameworks; uplift the metadata (semantic layer) of existing data to support AI and Natural Language Query (NLQ) usage, accelerate adoption of Mesh data architecture, reduce consumer friction, and deliver … data management using modern tools and environments (Python, R, SQL, Spark, DataBricks, cloud platforms)Understanding of data lineage concepts and experience with lineage analysis, metadata management, and data cataloguingDemonstrated experience using enterprise-authorized AI capabilities within the work environment to support data engineering workflows with strong validation habits and awareness ...

layer design to support enterprise reporting Support integration of data from multiple SaaS and third-party systems Ensure best practices across data quality, governance, metadata, and performance optimisation Maintain documentation including data models, data dictionaries, and architecture diagrams Assist with CI/CD pipelines and deployment processes (Azure DevOps) Profile … pipelines and integration patterns Strong SQL skills with experience optimising queries and datasets Comfortable guiding and supporting developers without formal leadership responsibility Exposure to metadata management, data governance, and data quality frameworks Experience with CI/CD (Azure DevOps, Gi t) and ideally scripting (Python/PySpark) Job Offer ...

identification to resolution, improving client experience and driving operational efficiencyDemonstrate control environment improvements and reduction in toil through common tooling and frameworks; uplift the metadata (semantic layer) of existing data to support AI and Natural Language Query (NLQ) usage, accelerate adoption of Mesh data architecture, reduce consumer friction, and deliver … data management using modern tools and environments (Python, R, SQL, Spark, DataBricks, cloud platforms)Understanding of data lineage concepts and experience with lineage analysis, metadata management, and data cataloguingExcellent communication skills with the ability to convey complex technical concepts to diverse audiences, including executive leadershipExperience with data quality frameworks, including ...

resolution, improving client experience and driving operational efficiency Demonstrate control environment improvements and reduction in toil through common tooling and frameworks; uplift the metadata (semantic layer) of existing data to support AI and Natural Language Query (NLQ) usage, accelerate adoption of Mesh data architecture, reduce consumer friction, and deliver data … data management using modern tools and environments (Python, R, SQL, Spark, DataBricks, cloud platforms) Understanding of data lineage concepts and experience with lineage analysis, metadata management, and data cataloguing Excellent communication skills with the ability to convey complex technical concepts to diverse audiences, including executive leadership Experience with data quality ...

Bronze, Silver, Gold)Create enterprise-wide data models supporting Finance, Analytics and Reporting use casesDesign and implement reusable Data Engineering Frameworks and Solution AcceleratorsDevelop metadata-driven ingestion, transformation and orchestration frameworksDefine governance, lineage, security and cataloguing standards across the platformProvide architecture leadership across Databricks, Azure and Power BI ecosystemsWork closely … Operations (D365 F&O)Azure DevOpsPower BITerraformCI/CDIdeal CandidateWe are particularly interested in Enterprise Data Architects who have built and implemented Databricks frameworks, metadata-driven architectures, reusable engineering patterns and enterprise-scale data platforms, rather than candidates with only high-level Databricks exposure. Experience working on large-scale Azure ...

successful candidate will work closely with business stakeholders and technical teams to improve reporting solutions, troubleshoot data and access issues, and ensure RPD metadata, presentation layers, and BI subject areas are reliable, usable, and aligned with business needs.Key ResponsibilitiesReport Development and DevOps• Design, develop, and maintain reports, dashboards, analyses … enhancements.• Perform unit testing and integrated testing of BI solutions.• Document BI reporting solutions and technical specifications.• Support production reporting applications and troubleshoot reporting, metadata, and access issues.• Promote reporting standards and visualization best practices.• Develop ad hoc reports using Oracle reporting tools such as BI Publisher.• Develop and maintain ...

strategies and architectures for Fund accounting, Fund Administration, ETFs, IBOR, and ABOR, ensuring governance and regulatory alignment. You will lead data modeling, lineage, and metadata strategies, collaborate with engineering teams, and enable reporting for regulatory filings and client statements in a complex financial data environment. #J-18808-Ljbffr ...

deliver an enterprise-wide data transformation? This is an opportunity to take genuine ownership of data governance, data quality, master data management and metadata across a complex, global, mission-driven o click apply for full job details ...

contract in London to evolve the data management capability across our Enterprise Data Platform. You will define the vision, requirements and design for governance, metadata, data quality, and data products while partnering with security and privacy teams. You will own the data governance roadmap, align standards with the enterprise framework ...

current-state assessment, target-state OT data architecture, logical data models, source-to-target mapping principles, data product standards, metadata and lineage requirements, normalisationpatterns,and governance recommendations. Proven experience in enterprise or solution data architecture within complex environments. Strong capability in conceptual,logicalandcanonicaldata modelling. Experience designing data products,standardsand governance ...

Copilot Studio Build scalable components: prompt orchestration, retrieval layers, Power Automate flows, model interfaces, validation pipelines Develop and optimise RAG components - embeddings, vector queries, metadata strategies for accuracy and reliability Integrate AI agents with enterprise systems via Microsoft Graph, APIs, and Power Platform connectors Implement secure-by-design and responsible ...

ecosystem and external systems Develop and maintain Power Apps and Power Automate solutions (SharePoint-led data environments) Design and manage information architecture , including metadata, taxonomy, and search optimisation Deliver business process automation to support operational workflows Ensure security, compliance, and data governance standards are met Support deployment, release management ...

competitor research to identify opportunities across paid and organic search. Implement SEO strategies across multiple client websites. Carry out on-page optimisation, including content, metadata, internal linking and site structure. Support technical SEO audits and identify opportunities to improve website performance and rankings. Monitor organic visibility, rankings, traffic and conversions. ...

escalation/support path.Build and enhance operational dashboard, comprising of all critical and non-critical path datasets; effectively interpret existing data and create new metadata to identify inefficiencies of the entire trading lifecycle.Build and maintain scripted toolset to enhance areas of data analytics, application configuration/deployment, data consolidation ...

escalation/support path.Build and enhance operational dashboard, comprising of all critical and non-critical path datasets; effectively interpret existing data and create new metadata to identify inefficiencies of the entire trading lifecycle.Build and maintain scripted toolset to enhance areas of data analytics, application configuration/deployment, data consolidation ...

Online sites, site collections, hubs, permissions, and governance policies. Design, configure, and support SharePoint collaboration solutions and document management systems. Manage SharePoint security, permissions, metadata, content types, versioning, and retention policies. Troubleshoot SharePoint Online performance, access, synchronization, and user-related issues. Support SharePoint Online migration and modernization initiatives. Implement governance ...

efficiency.Optimizes application performance, scalability, and usability.Develops reusable programming utilities using R, SAS, and Python.Builds applications that support: SDTM and ADaM review; Dataset comparison;Metadata review;TLF review and quality control; Clinical data visualization, Statistical reporting.Develop applications in accordance with GxP, Computer Software Assurance (CSA), and company standards.Develops and executes application ...

requirements of our diverse user base. Your work will be intellectually Job responsibilities Leads the engineering of cutting-edge solutions in the areas of metadata, meta-modelling and distributed systems. Regularly provides technical guidance and direction to support the business and its technical teams, contractors, and vendors Develops secure ...

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 ...

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 ...

answering, and evidence-grounded insight generation. Build intelligent retrieval, ranking, recommendation, and decision-support capabilities using modern orchestration frameworks and AI techniques. Integrate scientific metadata, ontologies, taxonomies, and knowledge assets into scalable AI workflows. Establish robust evaluation, experimentation, and monitoring frameworks to ensure quality, trust, performance, and reliability. Write production ...

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 ...

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 ...

hyperrealistic synthetic media (image and/or video).Curate and prepare datasets specifically for generative training (identity coverage, lighting/pose balance, captioning/metadata, filtering, de-duplication).Improve realism and likeness by iterating on fine-tuning strategy (adapters/LoRA-style approaches, full fine-tunes where needed), and systematic ...