51 to 75 of 237 Metadata Jobs in the UK

/LODs, and voxel/point-cloud conversions. Implement labeling and QA workflows, manage external annotation vendors, and automate quality checks to ensure scalable, reliable datasets. Define schemas and metadata for digital assets, maintaining catalogues, lineage, and versioning to ensure reproducibility and governance. Enforce data quality, drift detection, and compliance (GDPR/COPPA), including watermarking and traceability to safeguard IP More ❯

/LODs, and voxel/point-cloud conversions. Implement labeling and QA workflows, manage external annotation vendors, and automate quality checks to ensure scalable, reliable datasets. Define schemas and metadata for digital assets, maintaining catalogues, lineage, and versioning to ensure reproducibility and governance. Enforce data quality, drift detection, and compliance (GDPR/COPPA), including watermarking and traceability to safeguard IP More ❯

/LODs, and voxel/point-cloud conversions. Implement labeling and QA workflows, manage external annotation vendors, and automate quality checks to ensure scalable, reliable datasets. Define schemas and metadata for digital assets, maintaining catalogues, lineage, and versioning to ensure reproducibility and governance. Enforce data quality, drift detection, and compliance (GDPR/COPPA), including watermarking and traceability to safeguard IP More ❯

solutions for our most strategic customers—whether next-generation innovations or custom-tailored adaptations. Take ownership of the full problem space, spanning data storage and pipelines through to APIs, metadata, and UIs Improve and extend existing products with new features, cost optimizations, and reliability enhancements, while addressing technical debt and ensuring alignment with the broader architecture. Required Qualifications: 5+ years More ❯

experience across - TOGAF/Zachman enterprise architecture frameworks Cloud native data platforms - Azure/AWS/GCP Data mesh Data Governance Data Lakehouse, warehouse and virtualisation concepts MDM/Metadata management ETL/ELT processes and data pipeline builds Data readiness for AI Strong understanding of business architecture Be part of a team shaping the future of data-driven technology More ❯

experience across - TOGAF/Zachman enterprise architecture frameworks Cloud native data platforms - Azure/AWS/GCP Data mesh Data Governance Data Lakehouse, warehouse and virtualisation concepts MDM/Metadata management ETL/ELT processes and data pipeline builds Data readiness for AI Strong understanding of business architecture Be part of a team shaping the future of data-driven technology More ❯

and standards to ensure data quality from source to consumption. Standardise code, product, and service quality across engineering teams by implementing best practices and governance. Design and promote reusable metadata libraries and cross-business standards in collaboration with other technical disciplines. Partner with Lead Data Engineers, Data Architects, and Technologists to design and develop innovative solutions. Continually improve data engineering More ❯

and standards to ensure data quality from source to consumption. Standardise code, product, and service quality across engineering teams by implementing best practices and governance. Design and promote reusable metadata libraries and cross-business standards in collaboration with other technical disciplines. Partner with Lead Data Engineers, Data Architects, and Technologists to design and develop innovative solutions. Continually improve data engineering More ❯

knowledge of Azure Cloud Services (DataBricks, ADF, Azure SQL, CosmosDB). Proficiency in Kimball methodology and Data Vaults. Experience with MDM, data cataloguing, and lineage management. Skilled in designing metadata-driven ingestion and transformation pipelines. Proven track record in agile delivery environments (SCRUM, PRINCE2, Lean). Excellent communication skills-able to bridge technical and non-technical audiences. Passion for emerging More ❯

knowledge of Azure Cloud Services (DataBricks, ADF, Azure SQL, CosmosDB). Proficiency in Kimball methodology and Data Vaults. Experience with MDM, data cataloguing, and lineage management. Skilled in designing metadata-driven ingestion and transformation pipelines. Proven track record in agile delivery environments (SCRUM, PRINCE2, Lean). Excellent communication skills-able to bridge technical and non-technical audiences. Passion for emerging More ❯

knowledge of Azure Cloud Services (DataBricks, ADF, Azure SQL, CosmosDB). Proficiency in Kimball methodology and Data Vaults. Experience with MDM, data cataloguing, and lineage management. Skilled in designing metadata-driven ingestion and transformation pipelines. Proven track record in agile delivery environments (SCRUM, PRINCE2, Lean). Excellent communication skills-able to bridge technical and non-technical audiences. Passion for emerging More ❯

data insights to support business operations effectively. Client Details This organisation is a large entity operating within the financial services sector. Description Strong expertise in data governance, data quality, metadata management, data profiling, analysis, and data management tools. Lead the implementation of data governance practices within the Risk and Finance domains, aligning with BCBS239 regulatory standards. Owns the end-to More ❯

data management.Collaborate on AI platform designs leveraging Dell’s product and partner ecosystem e.g. NVAIE, Run.ai, H2O.ai, ClearML, OpenShift, etc.Provide expert guidance on modern data stack components: data quality, metadata management, observability, data products, feature stores, with governance and Dell’s maturity model frameworks.Stay current on emerging AI and associated Data Management technologies.Actively contribute field feedback to Dell’s product More ❯

data management.Collaborate on AI platform designs leveraging Dell’s product and partner ecosystem e.g. NVAIE, Run.ai, H2O.ai, ClearML, OpenShift, etc.Provide expert guidance on modern data stack components: data quality, metadata management, observability, data products, feature stores, with governance and Dell’s maturity model frameworks.Stay current on emerging AI and associated Data Management technologies.Actively contribute field feedback to Dell’s product More ❯

data management.Collaborate on AI platform designs leveraging Dell’s product and partner ecosystem e.g. NVAIE, Run.ai, H2O.ai, ClearML, OpenShift, etc.Provide expert guidance on modern data stack components: data quality, metadata management, observability, data products, feature stores, with governance and Dell’s maturity model frameworks.Stay current on emerging AI and associated Data Management technologies.Actively contribute field feedback to Dell’s product More ❯

Collaborate on AI platform designs leveraging Dell's product and partner ecosystem e.g. NVAIE, Run.ai, H2O.ai, ClearML, OpenShift, etc. Provide expert guidance on modern data stack components: data quality, metadata management, observability, data products, feature stores, with governance and Dell's maturity model frameworks. Stay current on emerging AI and associated Data Management technologies. Actively contribute field feedback to Dell More ❯

Collaborate on AI platform designs leveraging Dell's product and partner ecosystem e.g. NVAIE, Run.ai, H2O.ai, ClearML, OpenShift, etc. Provide expert guidance on modern data stack components: data quality, metadata management, observability, data products, feature stores, with governance and Dell's maturity model frameworks. Stay current on emerging AI and associated Data Management technologies. Actively contribute field feedback to Dell More ❯

Collaborate on AI platform designs leveraging Dell's product and partner ecosystem e.g. NVAIE, Run.ai, H2O.ai, ClearML, OpenShift, etc. Provide expert guidance on modern data stack components: data quality, metadata management, observability, data products, feature stores, with governance and Dell's maturity model frameworks. Stay current on emerging AI and associated Data Management technologies. Actively contribute field feedback to Dell More ❯

Collaborate on AI platform designs leveraging Dell's product and partner ecosystem e.g. NVAIE, Run.ai, H2O.ai, ClearML, OpenShift, etc. Provide expert guidance on modern data stack components: data quality, metadata management, observability, data products, feature stores, with governance and Dell's maturity model frameworks. Stay current on emerging AI and associated Data Management technologies. Actively contribute field feedback to Dell More ❯

in a matrixed environment. Technical Skills: Deep understanding of data governance tools and technologies (e.g., Collibra, Informatica, Alation) and their role in automating governance processes. Familiarity with data architecture, metadata management, and master data management concepts. Soft Skills: Exceptional communication and presentation skills, with the ability to convey complex ideas to both technical and non-technical audiences. Strategic thinker with More ❯

engagement. Data Management & Quality Assurance Establish data governance protocols for spatial data accuracy, completeness, and consistency. Implement ETL workflows using ArcGIS Data Interoperability tools or third-party solutions. Manage metadata standards and spatial data cataloging. Security & Access Control Configure role-based access controls and user permissions. Ensure compliance with data privacy and security standards. Implement secure data sharing protocols with More ❯

for clients, bring consulting expertise to complex environments, and mentor the next generation of architects. The Role Lead on data architecture design, covering data modelling, data analysis, data migration, metadata management, and governance. Work directly with clients to define and deliver data strategies, ensuring solutions are robust, scalable, and aligned to business needs. Provide consulting expertise across public sector and More ❯

across products and services. Collaborate with internal teams and suppliers to resolve data issues and enhance workflows. Manage bespoke data requests and provide technical support to internal teams. Ensure metadata accuracy and drive improvements in data governance. Mentor more junior staff and contribute to team KPIs and continuous improvement. About You: - You will have a qualification in GIS or a More ❯

scalability, and data quality across the analytics stack Enhance and support platform reliability and observability, participating in on-call rotations and proactive issue resolution Support and optimise governance and metadata systems to improve discoverability, trust, and compliance across data assets Partner with analysts, analytics engineers, and data scientists to understand user needs and deliver impactful platform solutions Contribute to the More ❯

Expertise in data governance, BI/MI, and CRM systems, with a proven ability to align them to SDR requirements. Advanced knowledge of data quality frameworks, master data management, metadata, and reference data hierarchies. Proficiency in data validation, cleansing technologies, and lineage tracking. Familiarity with ETL/integration pipelines and validation of outputs for regulatory purposes. Excellent written and verbal More ❯