26 to 50 of 96 Taxonomies Jobs in the UK

stakeholders on how to best query the new data. Required Skills Technical & Domain Expertise: ● Knowledge Graph Fundamentals: Understanding of graph concepts (Nodes, Edges, Properties) ● Taxonomy & Ontology: Experience categorizing data, managing hierarchies, and understanding semantic relationships between entities. ● Data Literacy: Proficiency in navigating complex datasets. Experience with SQL, SPARQL, or Cypher ...

stakeholders on how to best query the new data. Required Skills Technical & Domain Expertise: ● Knowledge Graph Fundamentals: Understanding of graph concepts (Nodes, Edges, Properties) ● Taxonomy & Ontology: Experience categorizing data, managing hierarchies, and understanding semantic relationships between entities. ● Data Literacy: Proficiency in navigating complex datasets. Experience with SQL, SPARQL, or Cypher ...

stakeholders on how to best query the new data. Required Skills Technical & Domain Expertise: ● Knowledge Graph Fundamentals: Understanding of graph concepts (Nodes, Edges, Properties) ● Taxonomy & Ontology: Experience categorizing data, managing hierarchies, and understanding semantic relationships between entities. ● Data Literacy: Proficiency in navigating complex datasets. Experience with SQL, SPARQL, or Cypher ...

stakeholders on how to best query the new data. Required Skills Technical & Domain Expertise: ● Knowledge Graph Fundamentals: Understanding of graph concepts (Nodes, Edges, Properties) ● Taxonomy & Ontology: Experience categorizing data, managing hierarchies, and understanding semantic relationships between entities. ● Data Literacy: Proficiency in navigating complex datasets. Experience with SQL, SPARQL, or Cypher ...

stakeholders on how to best query the new data. Required Skills Technical & Domain Expertise: ● Knowledge Graph Fundamentals: Understanding of graph concepts (Nodes, Edges, Properties) ● Taxonomy & Ontology: Experience categorizing data, managing hierarchies, and understanding semantic relationships between entities. ● Data Literacy: Proficiency in navigating complex datasets. Experience with SQL, SPARQL, or Cypher ...

stakeholders on how to best query the new data. Required Skills Technical & Domain Expertise: ● Knowledge Graph Fundamentals: Understanding of graph concepts (Nodes, Edges, Properties) ● Taxonomy & Ontology: Experience categorizing data, managing hierarchies, and understanding semantic relationships between entities. ● Data Literacy: Proficiency in navigating complex datasets. Experience with SQL, SPARQL, or Cypher ...

stakeholders on how to best query the new data. Required Skills Technical & Domain Expertise: ● Knowledge Graph Fundamentals: Understanding of graph concepts (Nodes, Edges, Properties) ● Taxonomy & Ontology: Experience categorizing data, managing hierarchies, and understanding semantic relationships between entities. ● Data Literacy: Proficiency in navigating complex datasets. Experience with SQL, SPARQL, or Cypher ...

stakeholders on how to best query the new data. Required Skills Technical & Domain Expertise: ● Knowledge Graph Fundamentals: Understanding of graph concepts (Nodes, Edges, Properties) ● Taxonomy & Ontology: Experience categorizing data, managing hierarchies, and understanding semantic relationships between entities. ● Data Literacy: Proficiency in navigating complex datasets. Experience with SQL, SPARQL, or Cypher ...

stakeholders on how to best query the new data. Required Skills Technical & Domain Expertise: ● Knowledge Graph Fundamentals: Understanding of graph concepts (Nodes, Edges, Properties) ● Taxonomy & Ontology: Experience categorizing data, managing hierarchies, and understanding semantic relationships between entities. ● Data Literacy: Proficiency in navigating complex datasets. Experience with SQL, SPARQL, or Cypher ...

stakeholders on how to best query the new data. Required Skills Technical & Domain Expertise: ● Knowledge Graph Fundamentals: Understanding of graph concepts (Nodes, Edges, Properties) ● Taxonomy & Ontology: Experience categorizing data, managing hierarchies, and understanding semantic relationships between entities. ● Data Literacy: Proficiency in navigating complex datasets. Experience with SQL, SPARQL, or Cypher ...

stakeholders on how to best query the new data. Required Skills Technical & Domain Expertise: ● Knowledge Graph Fundamentals: Understanding of graph concepts (Nodes, Edges, Properties) ● Taxonomy & Ontology: Experience categorizing data, managing hierarchies, and understanding semantic relationships between entities. ● Data Literacy: Proficiency in navigating complex datasets. Experience with SQL, SPARQL, or Cypher ...

stakeholders on how to best query the new data. Required Skills Technical & Domain Expertise: ● Knowledge Graph Fundamentals: Understanding of graph concepts (Nodes, Edges, Properties) ● Taxonomy & Ontology: Experience categorizing data, managing hierarchies, and understanding semantic relationships between entities. ● Data Literacy: Proficiency in navigating complex datasets. Experience with SQL, SPARQL, or Cypher ...

needs and improve media campaign performance, working with technical/dev and agency teams for implementation. Manage and implement changes to data structures and taxonomies within our MMP, ensuring accurate attribution and measurement. Work with marketing stakeholders to gather, design and manage the implementation of changes to the stack that ...

needs and improve media campaign performance, working with technical/dev and agency teams for implementation. Manage and implement changes to data structures and taxonomies within our MMP, ensuring accurate attribution and measurement. Work with marketing stakeholders to gather, design and manage the implementation of changes to the stack that ...

experience with cloud-based data platforms) Data Modelling (e.g. UML) SQL Server experience Value based decision maker Experience building/maintaining data dictionary/taxonomy Experience in a technical role with extensive exposure to data; data architect, data engineer, data analyst, software engineer/testing, DevOps engineer, data scientist ...

experience with cloud-based data platforms) Data Modelling (e.g. UML) SQL Server experience Value based decision maker Experience building/maintaining data dictionary/taxonomy Experience in a technical role with extensive exposure to data; data architect, data engineer, data analyst, software engineer/testing, DevOps engineer, data scientist ...

onboarding, data enrichment, approval, and publishing. Develop detailed business requirements, user stories, acceptance criteria, and process flows. Collaborate with data stewards to define product taxonomy, categories, attributes, and relationships. Identify hierarchical structures, product variants, digital assets, and localisation needs. Translate business requirements into functional specifications for system configuration. Partner with ...

continuously refine a standardised migration “playbook” for future acquisitions Assess legacy repositories, analyse document structures and metadata, and map them to the enterprise taxonomy Plan and execute large-scale data extraction, transformation, and loading (ETL) activities while maintaining full data integrity and compliance Run test migrations, reconciliation checks, and quality ...

Improve pre-release quality signals, including Release Criteria scoring and regression handling Collaborate closely with QA leadership on expectations for testing, validation, and bug taxonomy Ensure learnings from incidents and postmortems translate into improved release processes Champion cross-functional alignment and systemic clarity Bring coherence, reliability, and shared understanding ...

Improve pre-release quality signals, including Release Criteria scoring and regression handling Collaborate closely with QA leadership on expectations for testing, validation, and bug taxonomy Ensure learnings from incidents and postmortems translate into improved release processes Champion cross-functional alignment and systemic clarity Bring coherence, reliability, and shared understanding ...

Improve pre-release quality signals, including Release Criteria scoring and regression handling Collaborate closely with QA leadership on expectations for testing, validation, and bug taxonomy Ensure learnings from incidents and postmortems translate into improved release processes Champion cross-functional alignment and systemic clarity Bring coherence, reliability, and shared understanding ...

Improve pre-release quality signals, including Release Criteria scoring and regression handling Collaborate closely with QA leadership on expectations for testing, validation, and bug taxonomy Ensure learnings from incidents and postmortems translate into improved release processes Champion cross-functional alignment and systemic clarity Bring coherence, reliability, and shared understanding ...

Improve pre-release quality signals, including Release Criteria scoring and regression handling Collaborate closely with QA leadership on expectations for testing, validation, and bug taxonomy Ensure learnings from incidents and postmortems translate into improved release processes Champion cross-functional alignment and systemic clarity Bring coherence, reliability, and shared understanding ...

Improve pre-release quality signals, including Release Criteria scoring and regression handling Collaborate closely with QA leadership on expectations for testing, validation, and bug taxonomy Ensure learnings from incidents and postmortems translate into improved release processes Champion cross-functional alignment and systemic clarity Bring coherence, reliability, and shared understanding ...

Improve pre-release quality signals, including Release Criteria scoring and regression handling Collaborate closely with QA leadership on expectations for testing, validation, and bug taxonomy Ensure learnings from incidents and postmortems translate into improved release processes Champion cross-functional alignment and systemic clarity Bring coherence, reliability, and shared understanding ...