101 to 125 of 132 Metadata Jobs in London

the following: Designing and implementing both relational (3NF) and dimensional (star/snowflake) data models for large-scale financial systems and analytical platforms. Working hands-on with ETL design, metadata management, and data cataloguing , ensuring robust data lineage and governance. Building standards and frameworks that define how data is structured and managed across multiple platforms. Collaborating closely with architects, data … financial services environments. Strong expertise in ERWin (or equivalent tools such as Sparx, RSA, Visio). Hands-on experience with relational and dimensional modelling methodologies. Understanding of ETL frameworks, metadata management, and data governance principles. Ability to communicate complex data concepts to senior stakeholders in client-facing settings. For Principal level: prior experience in thought leadership, client relationship management, or More ❯

1. Ability to shape and deliver data architecture across our supply chain – metadata models, metadata strategies, integration and interoperability needs across business and technical aspects etc 2. Media supply chain experience is strongly desired – industry awareness (including standards (EIDR, IMF, Movielabs...) etc) and practical implications. 3. Ability to really get stuck in – proactive rather than reactive. Tech Stack Cloud: On More ❯

Data Management: Maintain a central reference data catalogue; validate and update reference data; align with business stakeholders. Data Catalogue & Business Glossary: Document new data assets; maintain lineage, ownership, and metadata; promote catalogue adoption. Data Quality & Governance: Monitor data quality; investigate issues; contribute to governance standards and continuous improvement. Stakeholder Engagement: Support governance forums; provide insights on data quality; act as … complex environments. Strong knowledge of data management concepts : MDM, RDM, data quality, business glossary, data lineage. Practical experience with data quality monitoring and resolution. Familiarity with data catalogues and metadata tools . Strong SQL and analytical skills . Excellent communication and stakeholder engagement . Awareness of regulatory and audit requirements (e.g., Lloyd’s data standards). Nice to Have: Hands More ❯

analysts, and stakeholders to enhance data accessibility and reliability. Take part in architecture and design discussions, ensuring solutions are scalable, testable, and well-documented. Improve data ingestion, orchestration, and metadata systems to support a growing analytics platform. Offer technical insight and second/third-line support on complex data issues. What You’ll Need 6+ years of professional software engineering … Proficiency in SQL (both transactional and analytical use cases). Experience working with data lakes, ETL frameworks, and orchestration tools such as Airflow. Familiarity with streaming systems (Kafka) and metadata management tools. Solid knowledge of cloud environments (AWS preferred) and Kubernetes. Understanding of DevOps, CI/CD, and infrastructure as code. A proactive, inquisitive approach who enjoys solving complex engineering More ❯

across the ecosystem. Key Responsibilities: Define and document conceptual, logical, and physical data models for geospatial and land data domains using EA Sparx Establish data standards, attribute schemas, and metadata frameworks to drive consistency across a common spatial framework Design data management solutions that support both batch and streaming processes, with clear handling of current and historical data Conduct gap … structures Experience Required: Proven experience as a Data Architect within geospatial or land data environments (public sector preferred) Expert in EA Sparx for modelling and documentation Strong knowledge of metadata standards (ISO 19115, INSPIRE, GEMINI) and data governance frameworks Understanding of coordinate reference systems, topology, and geometry validation Experience conducting data quality, completeness, and consistency assessments Strong communication and collaboration More ❯

across the ecosystem. Key Responsibilities: Define and document conceptual, logical, and physical data models for geospatial and land data domains using EA Sparx Establish data standards, attribute schemas, and metadata frameworks to drive consistency across a common spatial framework Design data management solutions that support both batch and streaming processes, with clear handling of current and historical data Conduct gap … structures Experience Required: Proven experience as a Data Architect within geospatial or land data environments (public sector preferred) Expert in EA Sparx for modelling and documentation Strong knowledge of metadata standards (ISO 19115, INSPIRE, GEMINI) and data governance frameworks Understanding of coordinate reference systems, topology, and geometry validation Experience conducting data quality, completeness, and consistency assessments Strong communication and collaboration More ❯

across the ecosystem. Key Responsibilities: Define and document conceptual, logical, and physical data models for geospatial and land data domains using EA Sparx Establish data standards, attribute schemas, and metadata frameworks to drive consistency across a common spatial framework Design data management solutions that support both batch and streaming processes, with clear handling of current and historical data Conduct gap … structures Experience Required: Proven experience as a Data Architect within geospatial or land data environments (public sector preferred) Expert in EA Sparx for modelling and documentation Strong knowledge of metadata standards (ISO 19115, INSPIRE, GEMINI) and data governance frameworks Understanding of coordinate reference systems, topology, and geometry validation Experience conducting data quality, completeness, and consistency assessments Strong communication and collaboration More ❯

Technical Business Analyst - Derived Pricing London - Hybrid (3 days on-site) 6 Months UMBRELLA only Role overview We are currently seeking an ambitious individual to join our clients team as Technical Business Analyst for Derived Pricing working together with colleagues More ❯

and implementation of robust design guardrails, standards, and policies that balance both functional and non-functional requirements while managing relevant risks in system delivery. Demonstrate expertise in data models, metadata management, and data dictionaries. Possess in-depth knowledge of data systems and architectures, with an understanding of best practices for data management and maintenance. Utilize multiple data modelling and design … tools and methodologies. Stay abreast of advancements in digital information technology and their potential applications. Apply advanced analytics practices and methodologies. Proven experience in designing data models and metadata systems. Skilled at interpreting organizational needs and translating them into effective data solutions. Adept at providing oversight and expert guidance to data architects involved in the design and production of data More ❯

and implementation of robust design guardrails, standards, and policies that balance both functional and non-functional requirements while managing relevant risks in system delivery. Demonstrate expertise in data models, metadata management, and data dictionaries. Possess in-depth knowledge of data systems and architectures, with an understanding of best practices for data management and maintenance. Utilize multiple data modelling and design … tools and methodologies. Stay abreast of advancements in digital information technology and their potential applications. Apply advanced analytics practices and methodologies. Proven experience in designing data models and metadata systems. Skilled at interpreting organizational needs and translating them into effective data solutions. Adept at providing oversight and expert guidance to data architects involved in the design and production of data More ❯

and implementation of robust design guardrails, standards, and policies that balance both functional and non-functional requirements while managing relevant risks in system delivery. Demonstrate expertise in data models, metadata management, and data dictionaries. Possess in-depth knowledge of data systems and architectures, with an understanding of best practices for data management and maintenance. Utilize multiple data modelling and design … tools and methodologies. Stay abreast of advancements in digital information technology and their potential applications. Apply advanced analytics practices and methodologies. Proven experience in designing data models and metadata systems. Skilled at interpreting organizational needs and translating them into effective data solutions. Adept at providing oversight and expert guidance to data architects involved in the design and production of data More ❯

Senior Data Engineer (SQL BigQuery GCP) London/WFH to £110,000 Are you a data technologist with Media Streaming experience? You could be progressing your career in a senor, hands-on role at one of Europe's most successful More ❯

Data Management Analyst Location: Remote Salary: £50,000 - £55,000 per annum Closing Date: 04 December 2025 At Stonewater, data isn’t just numbers on a screen – it’s the heartbeat of how we drive impact, improve lives, and achieve More ❯

Data Management Analyst Location: Remote Salary: £50,000 - £55,000 per annum Closing Date: 04 December 2025 At Stonewater, data isn’t just numbers on a screen – it’s the heartbeat of how we drive impact, improve lives, and achieve More ❯

and Responsibilities Data & Retrieval Build robust ingestion pipelines for PDFs/Word/Excel/Audio/JSON and semi-structured sources. Design RAG systems : chunking strategies, document schemas, metadata, hybrid/dense retrieval, re-ranking, and grounding. Manage vector/keyword indexes (e.g., Azure AI Search , pgvector, Pinecone/Weaviate). Develop and deploy advanced NLP, information retrieval, and … that enhance Chambers and Partners’ research and product offerings, including document understanding, automatic summarisation, topic modelling, semantic search, entity recognition, and relationship extraction. Design and implement intelligent tagging and metadata enrichment frameworks to categorize and organize legal and market data, improving search, discoverability, and insight accuracy. LLM & Machine Learning Application Engineering Design, build, and maintain traditional ML and LLM models More ❯

programme. Key Responsibilities Lead technical architecture and solution design for data products and open data services Provide design leadership across a multi-disciplinary team Apply expertise in data cataloguing, metadata management, and open/licensed data portals Leverage understanding of AI developments to shape and enhance data services Work with open source tools and cloud infrastructure (AWS, Terraform) Guide technical … of 7-8 and a wider programme of 50 Essential Skills & Experience Proven experience with data products and open/licensed data portals Knowledge of data cataloguing systems and metadata management Familiarity with CKAN or similar platforms Strong solution architecture and technical design capabilities Experience leading multi-disciplinary teams Cloud and infrastructure experience (AWS, Terraform) Programming skills in Python or More ❯

and spatial data using ArcGIS Pro and ArcGIS Online. * Administer and maintain ArcGIS Server, including restarts, performance monitoring, and troubleshooting. * Maintain and update spatial datasets, including polygon editing and metadata management. * Collaborate with service areas to deliver bespoke spatial data and mapping solutions. Essential experience & skills: * Strong practical experience using the ESRI ArcGIS suite (Pro, Enterprise, Online). * Proven ability … skills. Desirable experience & skills: * Experience working in a local government or public sector environment . * Knowledge of FME, SQL, or other data transformation tools. * Understanding of data governance and metadata standards . Interviews will be held w/c 3/11/2025. Please contact me via for more information or to apply. More ❯

collaboration and data access across systems. Key Responsibilities: - Design and build a new SharePoint site from scratch for document management and AI training content. - Develop custom workflows, libraries, and metadata structures to support efficient document handling. - Integrate SharePoint with AI platforms and databases, including Filament and Microsoft 365 Copilot APIs. - Implement intelligent indexing and retrieval mechanisms to support AI-driven … SPFx), PowerShell, REST APIs, and SharePoint Designer. - Proficiency in JavaScript, C#, HTML/CSS, and SQL Server for custom development and integration. - Experience with document management best practises, including metadata tagging, version control, and retention policies. - Familiarity with AI integration workflows, including semantic indexing, vector databases, and retrieval-augmented generation (RAG). - Knowledge of Microsoft Graph API, Azure AI Foundry More ❯

digital asset workflows, and drive excellence in client delivery. This is a key leadership role where you will manage a team of information management professionals responsible for asset organization, metadata strategy, and content logistics across global markets. You will serve as a trusted advisor for clients, helping them optimize their digital ecosystems to meet evolving business objectives. Additionally, you will … Ensure that digital assets are optimized for global distribution and can be accessed by stakeholders quickly and easily. Governance and Data Standardization: Establish and enforce governance policies to ensure metadata consistency, content quality, and accuracy throughout the asset lifecycle. Develop tagging strategies and taxonomy structures that meet the unique needs of clients across various marketing platforms. Content Flow Optimization: Identify … with at least 3 years in a leadership role managing global teams and content distribution processes. Content Operations Expertise : Demonstrated ability to manage complex content workflows, including taxonomy development, metadata management, and implementing content governance frameworks in large organizations. Technical Knowledge : Extensive experience with DAM platforms (e.g., Adobe, AEM), content management systems (CMS), and workflow automation tools, along with a More ❯

digital asset workflows, and drive excellence in client delivery. This is a key leadership role where you will manage a team of information management professionals responsible for asset organization, metadata strategy, and content logistics across global markets. You will serve as a trusted advisor for clients, helping them optimize their digital ecosystems to meet evolving business objectives. Additionally, you will … Ensure that digital assets are optimized for global distribution and can be accessed by stakeholders quickly and easily. Governance and Data Standardization: Establish and enforce governance policies to ensure metadata consistency, content quality, and accuracy throughout the asset lifecycle. Develop tagging strategies and taxonomy structures that meet the unique needs of clients across various marketing platforms. Content Flow Optimization: Identify … with at least 3 years in a leadership role managing global teams and content distribution processes. Content Operations Expertise : Demonstrated ability to manage complex content workflows, including taxonomy development, metadata management, and implementing content governance frameworks in large organizations. Technical Knowledge : Extensive experience with DAM platforms (e.g., Adobe, AEM), content management systems (CMS), and workflow automation tools, along with a More ❯

digital asset workflows, and drive excellence in client delivery. This is a key leadership role where you will manage a team of information management professionals responsible for asset organization, metadata strategy, and content logistics across global markets. You will serve as a trusted advisor for clients, helping them optimize their digital ecosystems to meet evolving business objectives. Additionally, you will … Ensure that digital assets are optimized for global distribution and can be accessed by stakeholders quickly and easily. Governance and Data Standardization: Establish and enforce governance policies to ensure metadata consistency, content quality, and accuracy throughout the asset lifecycle. Develop tagging strategies and taxonomy structures that meet the unique needs of clients across various marketing platforms. Content Flow Optimization: Identify … with at least 3 years in a leadership role managing global teams and content distribution processes. Content Operations Expertise : Demonstrated ability to manage complex content workflows, including taxonomy development, metadata management, and implementing content governance frameworks in large organizations. Technical Knowledge : Extensive experience with DAM platforms (e.g., Adobe, AEM), content management systems (CMS), and workflow automation tools, along with a More ❯

dashboard visualisations. Leading configuration and governance of a headless CMS (Contentful, Contentstack, or Sanity preferred). Defining content types, relationships, and editorial workflows for scalable publishing. Developing taxonomies and metadata frameworks to link content with structured data sources. Architecting content systems that support delivery across web, PDF generation, and emerging channels. Enabling content reuse and personalization through modular design and … standards , editorial guidelines, and documentation. What you’ll bring Proven experience with headless CMS platforms and content modeling — ideally with examples of automated publishing. Deep expertise in taxonomy development , metadata strategy, and structured content. Strong understanding of multichannel publishing workflows and content reuse strategies. Familiarity with JAMstack principles and modern web development. Excellent communication skills and the ability to collaborate More ❯

dashboard visualisations. Leading configuration and governance of a headless CMS (Contentful, Contentstack, or Sanity preferred). Defining content types, relationships, and editorial workflows for scalable publishing. Developing taxonomies and metadata frameworks to link content with structured data sources. Architecting content systems that support delivery across web, PDF generation, and emerging channels. Enabling content reuse and personalization through modular design and … standards , editorial guidelines, and documentation. What you’ll bring Proven experience with headless CMS platforms and content modeling — ideally with examples of automated publishing. Deep expertise in taxonomy development , metadata strategy, and structured content. Strong understanding of multichannel publishing workflows and content reuse strategies. Familiarity with JAMstack principles and modern web development. Excellent communication skills and the ability to collaborate More ❯

dashboard visualisations. Leading configuration and governance of a headless CMS (Contentful, Contentstack, or Sanity preferred). Defining content types, relationships, and editorial workflows for scalable publishing. Developing taxonomies and metadata frameworks to link content with structured data sources. Architecting content systems that support delivery across web, PDF generation, and emerging channels. Enabling content reuse and personalization through modular design and … standards , editorial guidelines, and documentation. What you’ll bring Proven experience with headless CMS platforms and content modeling — ideally with examples of automated publishing. Deep expertise in taxonomy development , metadata strategy, and structured content. Strong understanding of multichannel publishing workflows and content reuse strategies. Familiarity with JAMstack principles and modern web development. Excellent communication skills and the ability to collaborate More ❯

dashboard visualisations. Leading configuration and governance of a headless CMS (Contentful, Contentstack, or Sanity preferred). Defining content types, relationships, and editorial workflows for scalable publishing. Developing taxonomies and metadata frameworks to link content with structured data sources. Architecting content systems that support delivery across web, PDF generation, and emerging channels. Enabling content reuse and personalization through modular design and … standards , editorial guidelines, and documentation. What you’ll bring Proven experience with headless CMS platforms and content modeling — ideally with examples of automated publishing. Deep expertise in taxonomy development , metadata strategy, and structured content. Strong understanding of multichannel publishing workflows and content reuse strategies. Familiarity with JAMstack principles and modern web development. Excellent communication skills and the ability to collaborate More ❯