5 of 5 Metadata Repository Jobs in Shropshire

provide guidance for the upgrade, management, decommission and archive of data in compliance with data policy * provide input into data dictionaries * define and maintain the data technology architecture, including metadata, integration and business intelligence or data warehouse architecture Communicating between the technical and non-technical Level: working Working is the second of 4 ascending skill levels You can: * communicate … architect) Level: working You can: * develop data standards for a specific component * analyse where data standards have been applied or breached, and undertake an impact analysis of that breach Metadata management Level: working You can: * work with metadata repositories to complete complex tasks such as data and systems integration impact analysis * maintain a repository to ensure information More ❯

provide guidance for the upgrade, management, decommission and archive of data in compliance with data policy provide input into data dictionaries define and maintain the data technology architecture, including metadata, integration and business intelligence or data warehouse architecture Communicating between the technical and non-technical Level: working Working is the second of 4 ascending skill levels You can: communicate … architect) Level: working You can: develop data standards for a specific component analyse where data standards have been applied or breached, and undertake an impact analysis of that breach Metadata management Level: working You can: work with metadata repositories to complete complex tasks such as data and systems integration impact analysis maintain a repository to ensure information More ❯

provide guidance for the upgrade, management, decommission and archive of data in compliance with data policy Provide input into data dictionaries Define and maintain the data technology architecture, including metadata, integration and business intelligence or data warehouse architecture Skills at Working Level Communicate across disciplines : Effectively engage with both technical and non-technical stakeholders, manage team dynamics, and represent … compliance measures. Model data : Explain data modelling principles, create and maintain models, and reverse-engineer from live systems. Implement data standards : Develop standards, assess compliance, and analyze breaches. Manage metadata : Use repositories for complex tasks and maintain accurate metadata. Solve problems : Investigate issues, consult experts, implement remedies, and suggest preventive actions. Design data architecture : Translate business problems into data More ❯

Lead the upgrade, decommissioning, and archiving of data in accordance with data policies. - Collaborate with multidisciplinary teams to translate business problems into effective data solutions. - Maintain data dictionaries and metadata repositories to ensure information remains accurate and compliant. - Provide input into enterprise data governance, standards, and quality assurance processes. - Identify opportunities for innovation through data and emerging technologies. Skills … Experience: - Strong experience in data modelling, metadata management, and data standards. - Proficient in SAS tools, particularly SAS Viya 3.5, SAS RTENG, SAS Studio V, and SAS Enterprise Guide. - Familiarity with Oracle database environments and automated data ingestion practices. - Ability to reverse-engineer data models and conduct source system analysis. - Understanding of HMRC data processes or prior experience in government More ❯

Lead the upgrade, decommissioning, and archiving of data in accordance with data policies. - Collaborate with multidisciplinary teams to translate business problems into effective data solutions. - Maintain data dictionaries and metadata repositories to ensure information remains accurate and compliant. - Provide input into enterprise data governance, standards, and quality assurance processes. - Identify opportunities for innovation through data and emerging technologies. Skills … Experience: - Strong experience in data modelling, metadata management, and data standards. - Proficient in SAS tools, particularly SAS Viya 3.5, SAS RTENG, SAS Studio V, and SAS Enterprise Guide. - Familiarity with Oracle database environments and automated data ingestion practices. - Ability to reverse-engineer data models and conduct source system analysis. - Understanding of HMRC data processes or prior experience in government More ❯