9 of 9 Permanent Metadata Jobs in the East of England

capabilities. Desirable Skills/Experience Experience leading large‐scale data marketplaces or catalogues in highly regulated industries. Background in applying AI/ML to metadata management, knowledge graphs or intelligent search. Track record of building data products that directly enable scientific or clinical decision‐making. Familiarity with cloud‐native architectures ...

integration patterns. Ability to produce and review architecture artefacts using tools and frameworks such as Visio, MooD, Erwin, UML and TOGAF. Understanding of metadata management, data catalogues and data lineage concepts. Strong knowledge of data governance, data standards and data management practices. Experience providing architecture assurance and design leadership … with specialist engineers and platform teams. Desirable Experience Microsoft Purview DAMA DMBoK TOGAF Government Digital & Data Data Architect Capability Framework Enterprise data governance and metadata management frameworks What's on Offer? Up to £750 per day Inside IR35 Hybrid working, 3 days per week onsite in London Initial 3-month ...

architecture principles. \n Embed data governance, quality, and assurance across the full data lifecycle, ensuring compliance with organisational policy, responsible use of AI, strong metadata management, and high data quality standards. Governance is enabled through Unity Catalog and Microsoft Purview. \n\n About you. \n \n Ability to communicate effectively … differing perspectives. \n Strong understanding of data modelling, covering the design, how they interact over multiple subject areas and industry standards. \n Experience in metadata management and data standards, including maintaining accurate repositories, conducting impact analysis, and ensuring data is governed, consistent, and compliant across systems. \n Proven capability ...

architecture principles. \n Embed data governance, quality, and assurance across the full data lifecycle, ensuring compliance with organisational policy, responsible use of AI, strong metadata management, and high data quality standards. Governance is enabled through Unity Catalog and Microsoft Purview. \n\n About you. \n \n Ability to communicate effectively … differing perspectives. \n Strong understanding of data modelling, covering the design, how they interact over multiple subject areas and industry standards. \n Experience in metadata management and data standards, including maintaining accurate repositories, conducting impact analysis, and ensuring data is governed, consistent, and compliant across systems. \n Proven capability ...

architecture principles. \n Embed data governance, quality, and assurance across the full data lifecycle, ensuring compliance with organisational policy, responsible use of AI, strong metadata management, and high data quality standards. Governance is enabled through Unity Catalog and Microsoft Purview. \n\n About you. \n \n Ability to communicate effectively … differing perspectives. \n Strong understanding of data modelling, covering the design, how they interact over multiple subject areas and industry standards. \n Experience in metadata management and data standards, including maintaining accurate repositories, conducting impact analysis, and ensuring data is governed, consistent, and compliant across systems. \n Proven capability ...

architecture principles. \n Embed data governance, quality, and assurance across the full data lifecycle, ensuring compliance with organisational policy, responsible use of AI, strong metadata management, and high data quality standards. Governance is enabled through Unity Catalog and Microsoft Purview. \n\n About you. \n \n Ability to communicate effectively … differing perspectives. \n Strong understanding of data modelling, covering the design, how they interact over multiple subject areas and industry standards. \n Experience in metadata management and data standards, including maintaining accurate repositories, conducting impact analysis, and ensuring data is governed, consistent, and compliant across systems. \n Proven capability ...

architecture principles. \n Embed data governance, quality, and assurance across the full data lifecycle, ensuring compliance with organisational policy, responsible use of AI, strong metadata management, and high data quality standards. Governance is enabled through Unity Catalog and Microsoft Purview. \n\n About you. \n \n Ability to communicate effectively … differing perspectives. \n Strong understanding of data modelling, covering the design, how they interact over multiple subject areas and industry standards. \n Experience in metadata management and data standards, including maintaining accurate repositories, conducting impact analysis, and ensuring data is governed, consistent, and compliant across systems. \n Proven capability ...

digitalisation roadmap that modernises regulatory operations through workflow automation, structured data, and intelligent process design. Identify opportunities to automate manual regulatory tasks, such as metadata capture, submission tracking, Health Authority correspondence management, and lifecycle updates. Partner with IT and automation teams to implement robotic process automation (RPA), low‐code workflows … processing). Understanding of AI capabilities in regulated environments and ability to translate needs into AI‐enabled use cases. Expertise in master data management, metadata structures, data lineage, and ensuring accuracy, compliance, and audit readiness. Ability to align stakeholders on system and process changes with strong communication and change‐management ...

store and retrieve company information Install and configure information systems to ensure functionality Analysing, planning, and defining data architecture framework, including security, reference data, metadata, and master data Migrate data from legacy systems to new solutions Design conceptual and logical data models and flowcharts Improve system performance by conducting tests …/experience required Proficiency in SQL is essential and experience with data visualization is highly desirable. Proficiency in MS Excel Experience in data modelling, metadata management, data synthesis Proven work experience as a Data Engineer or similar role In-depth understanding of database structure principles Experience gathering and analysing system ...