26 to 44 of 44 Metadata Jobs in the City of London

ability to track and manage large datasets accurately. Proficiency with Excel or Google Sheets (filtering, conditional formatting, data cleanup). Comfort with comparing and analyzing structured data (e.g., URLs, metadata, content tags). Excellent written communication skills for documenting mismatches and reporting progress. Ability to work independently while maintaining alignment with multiple stakeholder teams. Familiarity with EA Help, Config App More ❯

and in small groups. • Ability to organise information at a high level. • An understanding of image size and resolution, a good working knowledge of Photoshop. • Understanding the role of metadata and taxonomy in Asset Management. • A good understanding of UHD/HD video formats. • Working Knowledge of framerates, conversions and codecs. • An understanding of file based post-production workflows. More ❯

business stakeholders to shape and deliver the long-term vision for enterprise-grade data architecture. Key Responsibilities Design and implement scalable database solutions, conceptual and logical data models, and metadata-driven pipelines Own the full data lifecycle from initial design and ingestion to governance and performance optimisation Lead architectural direction across the platform, helping the business move from legacy to … Databricks-based) Data modelling using Kimball and/or Data Vault methodology Experienced with both structured and unstructured data environments Experience with MDM, data lineage, data cataloguing, and enterprise metadata management Familiar with Agile, SCRUM, and project frameworks like PRINCE2 Requirments Proven experience as a Data Architect or Lead Data Engineer in enterprise or complex environments Strong ability to communicate More ❯

software house that is developing a highly complex network cyber security platform; the platform monitors network protocols in real-time, parses the commands and data structures to extract key metadata which is then analysed by in-house algorithms and allows customers to detect hackers, malware, data leakage and other malicious activity. As a Software Developer you will focus on enabling More ❯

software house that is developing a highly complex network cyber security platform; the platform monitors network protocols in real-time, parses the commands and data structures to extract key metadata which is then analysed by in-house algorithms and allows customers to detect hackers, malware, data leakage and other malicious activity. As a C++ Developer you will focus on enabling More ❯

experience and do not require sponsorship. Reporting to data process management team.The role is to support UK operations in delivering data governance. The main responsibilities include the management of, metadata, data lineage, data protection, data quality, data standards, and their policy establishment, implementation and monitoring within IT Risks, Information Security, cybersecurity, GDPR etc.To assist and support all business departments to … regulators. Carry out any ad hoc tasks assigned by Head of Data and Process Management Office Participating in the life cycle management of the data including the management of metadata, data lineage, data security, data quality, data standards, and their policy establishment, implementation and monitoring. Participating in the Head Office Enterprise Data Platform (EDP) construction on behalf of London Branch More ❯

of data modelling. You can produce, maintain and update relevant data models for specific business needs. You can reverse-engineer data models from a live system. (Skill level: working) Metadata management. You can work with metadata repositories to complete complex tasks such as data and systems integration impact analysis. You can maintain a repository to ensure information remains accurate and More ❯

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 ❯

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 ❯

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 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 ❯

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 ❯