51 to 75 of 147 Metadata Jobs in the UK excluding London

pipelines using Python and pandas Writing SQL queries to extract and manipulate relational data Implementing data validation and quality assurance processes Working with JSON, XML, and CSV formats Supporting metadata cataloguing and reference data management Learning and applying RDF and semantic web concepts Collaborating with subject matter experts on data requirements This represents an excellent opportunity to secure a permanent More ❯

involved in technical delivery. Key Responsibilities Lead on data modelling design and implementation across client programmes Create relational and dimensional models for enterprise data warehouses and analytics platforms Define metadata standards, data catalogues, and lineage documentation Collaborate with architects, engineers, and business stakeholders to ensure data models meet business needs Support data migration, governance, and transformation initiatives Your Skills and More ❯

using tools such as ERwin, PowerDesigner, or Sparx EA. Uphold data modelling standards and governance practices. Work closely with architecture and process improvement teams to ensure alignment. Contribute to metadata management, data lineage, and master/reference data initiatives. Support data quality and remediation efforts. Facilitate stakeholder workshops and build strong relationships with end users. Communicate effectively across technical and More ❯

with business stakeholders, data architects, and domain experts to translate requirements into scalable data solutions, ensuring alignment with governance and best practices. The position involves analysing data flows, embedding metadata management, and supporting both structured and semi-structured data, including JSON and XML. Proficiency with Sparx Enterprise Architect, Erwin, PowerDesigner, or Visual Paradigm is key, alongside familiarity with SQL, Python More ❯

our clients in the Data Management and Governance team. Our end-to-end experience allows our Data practitioners to advise on Data management and Strategy, Modelling, MDM, Data Quality, Metadata Management, Data Privacy and compliance through to Data Mesh and Marketplace. Our technology and consulting expertise and breadth skills enables transformational change at any scale. You will learn, grow and More ❯

DevOps. Hands-on experience with CI/CD tools such as Git, Jenkins, Azure DevOps, Bitbucket, or Copado. Expertise in Salesforce deployment strategies, including change sets, Salesforce DX, and metadata API. Strong understanding of version control and branching strategies. Experience with automation frameworks for testing and deployment. Experience working in agile and DevOps environments. Strong experience with Salesforce DX, CLI More ❯

DevOps. Hands-on experience with CI/CD tools such as Git, Jenkins, Azure DevOps, Bitbucket, or Copado. Expertise in Salesforce deployment strategies, including change sets, Salesforce DX, and metadata API. Strong understanding of version control and branching strategies. Experience with automation frameworks for testing and deployment. Experience working in agile and DevOps environments. Strong experience with Salesforce DX, CLI More ❯

quality, and innovation. You'll need to have experience with the following: Proven background in Data Architecture or Data Modelling at a senior level Strong knowledge of data integration, metadata, and data lifecycle management Experience with data modelling frameworks Sound understanding of governance, compliance, and data ethics Must have experience managing a team Exceptional communication skills If you're passionate More ❯

relationships and driving new opportunities across the data architecture function. Key Responsibilities Lead the design and implementation of enterprise-wide data models and standards Define data frameworks, governance, and metadata strategies for large-scale transformation projects Partner with clients to identify opportunities for data modernisation and architecture improvement Oversee multiple workstreams and mentor senior consultants and modellers Support business development More ❯

performance, content, and overall search rankings. Key Responsibilities: Develop and execute SEO strategies to improve organic search rankings. Conduct keyword research and competitive analysis. Optimise website content, structure, and metadata for SEO performance. Collaborate with content, marketing, and web development teams to implement best practices. Monitor SEO performance metrics and provide actionable recommendations. Stay up-to-date with search engine More ❯

years’ experience in data governance, data risk management, or control assurance within a regulated financial services or enterprise environment. Strong understanding of data management principles , including data quality, metadata, lineage, access management, and retention. Proven experience in designing, monitoring, and testing data controls in alignment with regulatory and internal governance requirements. More ❯

workshops to boost data literacy and enable self-service DQ health checks. Lead with Impact : Contribute to the Data Quality Centre of Excellence (DQ CoE), shaping governance policies and metadata strategies. What You Bring Proven experience designing and deploying enterprise-grade Data Quality Frameworks. Deep knowledge of data quality dimensions: accuracy, completeness, consistency, timeliness, uniqueness, and conformity. Hands-on experience More ❯

translating technical design into plain English for execs and end-users. A modern view of architecture collaborative, evolutionary and business-led. Broad knowledge of cloud data platforms, integration and metadata management tools. Why this role Architecture with real influence direct access to execs and freedom to set the playbook. Join a mission-led organisation investing heavily in data transformation. £95k More ❯

What We’re Looking For Essential Qualifications & Experience: Degree or equivalent professional qualification. At least 5 years of proven experience in a similar role. Strong understanding of Data Quality, Metadata, Master Data, and Data Lifecycle Management. Experience with a variety of Data Governance tools Line management experience. Skills & Attributes Excellent communication, negotiation, and interpersonal skills. Strong organisational and planning abilities. More ❯

organization. What You'll Do Own day-to-day administration of global Learning Management System including user management, platform configuration, and troubleshooting Manage content publishing workflows ensuring quality assurance, metadata standards, and accessibility compliance Configure learning pathways, certifications, and automated workflows to enhance user experience Integrate learning systems with HRIS, performance platforms, and other enterprise systems Design and build learning More ❯

portfolios, ensuring alignment with client requirements. • Plan and implement the software, including installation, migration and configuration to meet client requirements. • Define and configure workflows, user interfaces, access profiles, and metadata to standardize document classification and management. Training and support: • Create and deliver training materials and workshops for end-users and client teams. • Provide ongoing support and guidance to clients and More ❯

related regulations and manage data-related risks. Support the Data Governance Manager in leading and facilitating council meetings, driving decision making processes, and ensuring alignment with organisational objectives. Implement metadata management processes to capture and maintain data lineage, definitions, and dependencies. Establish and maintain data dictionaries, glossaries, and cataloguing tools to support data discovery and documentation. Contribute to defining and … data stewardship, and data lifecycle management. Experience with MDM initiatives, ensuring data consistency and accuracy across the organisation. Familiarity with tools such as Azure Purview for data cataloguing and metadata management. Knowledge of records management and retention practices, with experience using tools such as SharePoint or other lifecycle management systems. Understanding of regulatory requirements and industry standards related to data More ❯

pipelines using Python and pandas Writing SQL queries to extract and manipulate relational data Implementing data validation and quality assurance processes Working with JSON, XML, and CSV formats Supporting metadata cataloguing and reference data management Learning and applying RDF and semantic web concepts Collaborating with subject matter experts on data requirements This represents an excellent opportunity to secure a permanent More ❯

team of data professionals. Head of Data Architecture - What We’re Looking For Extensive experience in data architecture and modelling at a senior level. Strong knowledge of data integration, metadata, master data, and lifecycle management . Hands-on experience with modern data platforms (Snowflake, Databricks, SAP Datasphere or BW). Familiarity with frameworks like TOGAF, DAMA, Kimball and regulatory standards More ❯

architects, analysts, and subject matter experts to ensure semantic consistency* Validate mapping outputs and resolve data discrepancies* Ensure compliance with data quality, privacy, and security standards* Maintain documentation and metadata for traceability and governance* Support knowledge sharing and contribute to best practices within the team Essential Requirements:* UK national with at least five years of residency (required for security clearance More ❯

and procurement teams to identify duplicate parts and promote standardization. Interact with customer SMEs to ensure good understanding on their application landscapes, requirements & current challenges. Familiar with capabilities around metadata management, classification systems, part taxonomy, Should Cost assessments, Maintaining Product Score Card, Workflow Integrations to route to right engineer for reviewing the similar parts and take corrective actions, Streamlined lead More ❯

What you'll be doing Developing and implementing comprehensive SEO strategies aligned with business goals. Conducting keyword research, competitive analysis, and performance reporting. Optimising website content, landing pages, and metadata for search engines. Monitoring and analysing SEO performance using tools such as Google Analytics and Search Console. Collaborating with content creators to ensure SEO best practices are followed. Managing technical More ❯

Data Business Analyst - MetaData, Cloud, Healthcare £Market Rate - Inside IR35 London/Hybrid - 2 days per week on site 3-6 months My client is an instantly recognisable Healthcare Insurer who urgently require a Data Business Analyst to join a business-critical programme. Key Requirements: Proven commercial experience working as a Data Business Analyst within large, complex organisations (Healthcare/ More ❯

manage data architecture across SAP S/4HANA, Workday, and cloud environments.• Develop conceptual, logical, and physical data models aligned with business and regulatory requirements.• Establish data governance frameworks, metadata standards, and MDM processes.• Embed governance checkpoints within PMO methodologies and quality gates.• Lead data lifecycle management initiatives ensuring accuracy and traceability.Architect secure and scalable data integration solutions:• Design end … reporting: • Design hybrid data platforms integrating structured and unstructured sources.• Define reference architectures for data lakes, warehouses, and ESG reporting.• Enable self-service analytics through governed data catalogues and metadata repositories.• Align architecture with business analytics, sustainability metrics, and regulatory reporting. Lead cross-functional collaboration and vendor management: • Lead teams of data engineers, modellers, and security analysts.• Liaise between PMO More ❯

Support execution of audio and motion data collection in advanced research labs. Work closely with engineers and participants during experiments, ensuring smooth and accurate session delivery. Record and manage metadata with precision and consistency. Coordinate participant scheduling and session logistics. Conduct data validation and contribute to experimental design discussions. Assist in user testing, participant onboarding, and general lab operations. Required More ❯