76 to 100 of 242 Metadata Jobs in England

Strong knowledge of data modelling tools Expertise in relational and non-relational database systems Experience in enterprise data architecture, data warehousing, and data integration Strong understanding of data governance, metadata, and data quality principles More ❯

Strong knowledge of data modelling tools Expertise in relational and non-relational database systems Experience in enterprise data architecture, data warehousing, and data integration Strong understanding of data governance, metadata, and data quality principles More ❯

Strong knowledge of data modelling tools Expertise in relational and non-relational database systems Experience in enterprise data architecture, data warehousing, and data integration Strong understanding of data governance, metadata, and data quality principles More ❯

Strong knowledge of data modelling tools Expertise in relational and non-relational database systems Experience in enterprise data architecture, data warehousing, and data integration Strong understanding of data governance, metadata, and data quality principles More ❯

goals Apply governance frameworks and ensure accountability The successful Data Quality Analyst will have: Proficient in BI tools (e.g., Power BI) Familiar with Agile and Waterfall methodologies Experience with metadata management, data catalogues, and stewardship tools Understanding of Master Data Management principles Desirable Proven success in data governance programs Operational and change management experience Ready to help shape the future More ❯

managers, imaging analysts, and sponsor representatives to align data handling practices with project goals and regulatory expectations. · Maintain data pipelines specific to medical imaging formats (e.g., DICOM), including anonymisation, metadata integrity checks, and format conversions. The Company Founded in 2022, MyCardium AI is a spin-out from University College London. Our aim is to transform healthcare delivery using AI for More ❯

in building and embedding data governance frameworks and controls. Hands-on experience with Microsoft data technologies (Azure, Purview). Strong knowledge of data management best practices, including data quality, metadata, and lineage. Practical understanding of regulatory requirements impacting data in financial services. Exceptional stakeholder management and communication skills, with the ability to influence senior business and technology partners. Pragmatic and More ❯

and identifying opportunities to drive innovation. What you'll bring Proven experience in data architecture, data modelling, and enterprise data strategy. Strong understanding of data governance, data quality, and metadata management. Experience designing data solutions across operational and analytical systems. Excellent stakeholder engagement and communication skills. A passion for innovation and continuous improvement in the data space. Tech you'll … work with Cloud & Data Platforms: Azure Synapse, Azure Data Lake, Azure Data Factory Data Modelling & Integration: SQL, ETL tools, data pipelines Architecture & Governance: Enterprise data models, data catalogues, metadata management Collaboration & Documentation: Agile delivery, architecture documentation, stakeholder workshops Why This Role? You'll be joining a forward-thinking team where data is central to decision-making and innovation. This is More ❯

Technical components and Data Engg. related activities for supporting the key capabilities Technical Data Architecture Data Ingestion framework (Batch/Micro Batch processing ) Data Contract & Data management (including DQ, metadata & lineage) Delivery, Scaling & Op Model Discovery/assessment along with the Data platform requirements Identify and document the relevant data sources to be used for collection & ingestion, cataloging, defining Data More ❯

Technical components and Data Engg. related activities for supporting the key capabilities Technical Data Architecture Data Ingestion framework (Batch/Micro Batch processing ) Data Contract & Data management (including DQ, metadata & lineage) Delivery, Scaling & Op Model Discovery/assessment along with the Data platform requirements Identify and document the relevant data sources to be used for collection & ingestion, cataloging, defining Data More ❯

Technical components and Data Engg. related activities for supporting the key capabilities Technical Data Architecture Data Ingestion framework (Batch/Micro Batch processing ) Data Contract & Data management (including DQ, metadata & lineage) Delivery, Scaling & Op Model Discovery/assessment along with the Data platform requirements Identify and document the relevant data sources to be used for collection & ingestion, cataloging, defining Data More ❯

Technical components and Data Engg. related activities for supporting the key capabilities Technical Data Architecture Data Ingestion framework (Batch/Micro Batch processing ) Data Contract & Data management (including DQ, metadata & lineage) Delivery, Scaling & Op Model Discovery/assessment along with the Data platform requirements Identify and document the relevant data sources to be used for collection & ingestion, cataloging, defining Data More ❯

Technical components and Data Engg. related activities for supporting the key capabilities Technical Data Architecture Data Ingestion framework (Batch/Micro Batch processing ) Data Contract & Data management (including DQ, metadata & lineage) Delivery, Scaling & Op Model Discovery/assessment along with the Data platform requirements Identify and document the relevant data sources to be used for collection & ingestion, cataloging, defining Data More ❯

modern, data-centric architecture Useful Experience: Data Modelling : Physical, logical, conceptual models; data flow diagrams; ontologies; UML/Visio/Sparx Data Standards : Technical specs, code assurance, championing interoperability Metadata Management : Data catalogues, repositories; tools like Apache Atlas, Hive Metastore, AWS Glue/Datazone Data Design : Data lakes, warehouses, lakehouses, pipelines, meshes, marketplaces If you're passionate about shaping data More ❯

Key-Value pair, and NoSQL Document Store · An understanding of one or more industry models such as IFW, Teradata, FIBO, or BIAN · Knowledge of data product management, data management, metadata management, data lineage management, and data definitions · Proficiency when designing with concepts and regulations such as GDPR, PCI-DSS, PII · A basic understanding of knowledge and/or property graphs More ❯

CMS). • Ensure seamless integration with engineering systems (PLM, ERP) and digital twin environments. Governance & Compliance • Establish architecture governance frameworks to ensure consistency, scalability, and compliance. • Define data models, metadata standards, and content lifecycle policies. • Ensure adherence to cybersecurity, regulatory, and quality standards in aerospace. Stakeholder Engagement & Leadership • Collaborate with engineering, product, IT, and documentation teams to gather requirements and More ❯

CMS). • Ensure seamless integration with engineering systems (PLM, ERP) and digital twin environments. Governance & Compliance • Establish architecture governance frameworks to ensure consistency, scalability, and compliance. • Define data models, metadata standards, and content lifecycle policies. • Ensure adherence to cybersecurity, regulatory, and quality standards in aerospace. Stakeholder Engagement & Leadership • Collaborate with engineering, product, IT, and documentation teams to gather requirements and More ❯

CMS). • Ensure seamless integration with engineering systems (PLM, ERP) and digital twin environments. Governance & Compliance • Establish architecture governance frameworks to ensure consistency, scalability, and compliance. • Define data models, metadata standards, and content lifecycle policies. • Ensure adherence to cybersecurity, regulatory, and quality standards in aerospace. Stakeholder Engagement & Leadership • Collaborate with engineering, product, IT, and documentation teams to gather requirements and More ❯

and shared mailbox analysis. Organisational & Governance Discovery: Analyse directory structures (OUs, group policies, RBAC models). Identify collaboration requirements, governance implications, and security risks. Provide input on information architecture, metadata tagging, and retention policies. Reporting & Documentation: Produce detailed reports, dashboards, and technical documentation to inform migration wave planning and decision-making. Support runbooks, remediation plans, and readiness assessments. Key Responsibilities More ❯

and shared mailbox analysis. Organisational & Governance Discovery: Analyse directory structures (OUs, group policies, RBAC models). Identify collaboration requirements, governance implications, and security risks. Provide input on information architecture, metadata tagging, and retention policies. Reporting & Documentation: Produce detailed reports, dashboards, and technical documentation to inform migration wave planning and decision-making. Support runbooks, remediation plans, and readiness assessments. Key Responsibilities More ❯

Key Responsibilities: Data Pipelines and ETL Processes ETL Design: Design and implement ETL processes within MaPS architectural patterns to extract, transform, and load data from various source systems into our reporting solutions. Pipeline Development: Develop and configure meta-data driven More ❯

Technical components and Data Engg. related activities for supporting the key capabilities Technical Data Architecture Data Ingestion framework ( Batch/Micro Batch processing ) Data Contract & Data management( including DQ, metadata & lineage) Delivery, Scaling & Op Model Discovery/assessment along with the Data platform requirements Identify and document the relevant data sources to be used for collection & ingestion, cataloging, defining Data More ❯

programme. Key Requirements: Proven experience as a Data Engineer, within Healthcare Proficiency in Azure Data Factory, Azure Synapse, Snowflake, and SQL. Strong Python skills, including experience with PySpark and metadata-driven frameworks. Familiarity with cloud platforms (Azure preferred), pipelines, and production code. Solid understanding of relational databases and data modelling (3NF & dimensional). Strong communication skills and ability to work More ❯

provide functional and technical expertise to support enterprise performance management activities including Planning, Budgeting, Forecasting , and Financial Reporting . Key responsibilities include: Administration and support of Oracle EPBCS applications (metadata updates, data loads, security provisioning, etc.) Troubleshooting and developing EPM Reports and Smart View templates Identifying and resolving discrepancies between EPM reports and source financial systems Managing EPM Automate Maintaining More ❯

to senior leadership Define and implement data-driven pricing strategies Design data operating models, target architectures, and transformation roadmaps Define data ownership models, stewardship roles, and quality KPIs Support metadata management, lineage tracking, and data cataloging initiatives To be successful in this role, you will have: Strong track record working in data advisory, strategy, or management roles Consulting experience within More ❯