176 to 200 of 222 Metadata Jobs in the South East

triage and manage documentation lifecycle (e.g., maintain, archive, obsolete). Work closely with Document Controllers and service provider admins to implement disposition actions and track them to closure. Align metadata between internal and external DMS platforms to ensure lifecycle consistency. Drive improvements in external DMS functionality and design. Implement formal archiving processes for external documentation. Guide business users in accessing More ❯

triage and manage documentation lifecycle (e.g., maintain, archive, obsolete). Work closely with Document Controllers and service provider admins to implement disposition actions and track them to closure. Align metadata between internal and external DMS platforms to ensure lifecycle consistency. Drive improvements in external DMS functionality and design. Implement formal archiving processes for external documentation. Guide business users in accessing More ❯

pages before go-live, ensuring layout, links, and imagery are correct Maintain content accuracy across existing pages - fixing errors, broken links, or display issues Apply basic SEO best practices (metadata, titles, headings, internal linking) Support marketing and digital teams with campaign page setup and asset uploads Help generate basic website performance and traffic reports (GA4, Search Console, etc.) Work collaboratively More ❯

pages before go-live, ensuring layout, links, and imagery are correct Maintain content accuracy across existing pages — fixing errors, broken links, or display issues Apply basic SEO best practices (metadata, titles, headings, internal linking) Support marketing and digital teams with campaign page setup and asset uploads Help generate basic website performance and traffic reports (GA4, Search Console, etc.) Work collaboratively More ❯

pages before go-live, ensuring layout, links, and imagery are correct Maintain content accuracy across existing pages — fixing errors, broken links, or display issues Apply basic SEO best practices (metadata, titles, headings, internal linking) Support marketing and digital teams with campaign page setup and asset uploads Help generate basic website performance and traffic reports (GA4, Search Console, etc.) Work collaboratively More ❯

and external teams to implement design and functional updates. Technical SEO Execution Conduct regular technical SEO audits to identify and fix crawl, indexation, and performance issues. Optimize site speed, metadata, structured data, and internal linking to improve organic visibility. Work closely with developers to implement SEO best practices across new and existing pages. Use SEO tools (e.g., Google Search Console More ❯

and external teams to implement design and functional updates. Technical SEO Execution Conduct regular technical SEO audits to identify and fix crawl, indexation, and performance issues. Optimize site speed, metadata, structured data, and internal linking to improve organic visibility. Work closely with developers to implement SEO best practices across new and existing pages. Use SEO tools (e.g., Google Search Console More ❯

AI acceleration. The Rubrik Security Cloud platform is designed to deliver robust cyber resilience and recovery including identity resilience to ensure continuous business operations, all on top of secure metadata and data lake. Rubrik's offerings also include Predibase to help further secure and deploy GenAI while delivering exceptional accuracy and efficiency for agentic applications. Linkedin | X (formerly Twitter) | Instagram More ❯

triage and manage documentation lifecycle (e.g., maintain, archive, obsolete). Work closely with Document Controllers and service provider admins to implement disposition actions and track them to closure. Align metadata between internal and external DMS platforms to ensure lifecycle consistency. Drive improvements in external DMS functionality and design. Implement formal archiving processes for external documentation. Guide business users in accessing More ❯

triage and manage documentation lifecycle (e.g., maintain, archive, obsolete). Work closely with Document Controllers and service provider admins to implement disposition actions and track them to closure. Align metadata between internal and external DMS platforms to ensure lifecycle consistency. Drive improvements in external DMS functionality and design. Implement formal archiving processes for external documentation. Guide business users in accessing More ❯

and improve data quality skills to learn to conduct data profiling, and resolve data discrepancies to ensure data accuracy and consistency. As data analyst you will gain expertise in metadata management, data governance policies, and procedures, ensuring compliance and data accountability. Key Responsibilities Data Administration: Administer and maintain master data and other critical datasets (e.g., customer, vendor, material, finance in … design and implementation of SAP MDG for centralized master data governance. Collaborate with SAP functional teams to align data structures with evolving business processes. Data Governance & Stewardship Support: Support metadata management, enrichment and cataloging activities Collaborate with business units to: define data ownership, stewardship, and maintenance processes. Monitor and resolve data discrepancies, duplication, and integrity issues. Contribute to the development … integration points. Experience: Managing master data in SAP ECC. Exposure: SAP S/4HANA , SAP Datasphere, SAP MDG . Data Governance & Quality Tools: e.g. Collibra, Talend, Snowflake, PowerBI. Knowledge: Metadata management, data lineage, cataloguing. Proficiency: SQL, data analysis tools. Experience: Data integration, ETL processes. Familiarity: Data visualization tools (Power BI, Tableau). Awareness: Data governance, management practices, tools. Exposure across More ❯

and improve data quality skills to learn to conduct data profiling, and resolve data discrepancies to ensure data accuracy and consistency. As data analyst you will gain expertise in metadata management, data governance policies, and procedures, ensuring compliance and data accountability. Key Responsibilities Data Administration: Administer and maintain master data and other critical datasets (e.g., customer, vendor, material, finance in … design and implementation of SAP MDG for centralized master data governance. Collaborate with SAP functional teams to align data structures with evolving business processes. Data Governance & Stewardship Support: Support metadata management, enrichment and cataloging activities Collaborate with business units to: define data ownership, stewardship, and maintenance processes. Monitor and resolve data discrepancies, duplication, and integrity issues. Contribute to the development … integration points. Experience: Managing master data in SAP ECC. Exposure: SAP S/4HANA , SAP Datasphere, SAP MDG . Data Governance & Quality Tools: e.g. Collibra, Talend, Snowflake, PowerBI. Knowledge: Metadata management, data lineage, cataloguing. Proficiency: SQL, data analysis tools. Experience: Data integration, ETL processes. Familiarity: Data visualization tools (Power BI, Tableau). Awareness: Data governance, management practices, tools. Exposure across 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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

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 ❯