16 of 16 Permanent Metadata Jobs in Leeds

capabilities: You understand the full lifecycle of data from data discovery, storage, pipelines, ETL, streaming through to how data is managed including data quality, metadata management and how data is used for applications and core decision making through advanced analytics.AI: You have a deep expertise or experience of AI, specifically ...

engaging both technical and non-technical stakeholders.Experience in managing multiple client environments, ensuring stability and performance optimisation.Desirable ExperienceUnderstanding of data governance, data quality, and metadata management practices.Exposure to IT Service Management (ITSM) tools like ServiceNow.Knowledge of monitoring tools like Azure Monitor and Log Analytics.What makes us greatAlongside working with some ...

professional services organisationFamiliarity with cloud data platforms (e.g., AWS, Azure, GCP) and their data quality capabilitiesKnowledge of Master Data Management (MDM) and Metadata Management concepts.Experience with data quality tools specifically designed for unstructured data or text analyticsRelevant industry certifications e.g., DAMA Certified Data Management Professional (CDMP), Data Quality certifications)Bachelor ...

Experience in the professional servicesFamiliarity with cloud data platforms (e.g., AWS, Azure, GCP) and their data quality capabilitiesKnowledge of Master Data Management (MDM) and Metadata Management conceptsExperience with data quality tools specifically designed for unstructured data or text analyticsRelevant industry certifications e.g., DAMA Certified Data Management Professional (CDMP), Data Quality ...

pipelines in complex environmentsExperience with cloud-native data platforms across Azure, AWS, GCP or similar enterprise environmentsDeep understanding of data modelling, data quality, metadata, lineage and governance principlesAbility to make pragmatic, risk-aware technical decisions balancing resilience, pace and long-term maintainabilityExperience embedding engineering best practices such as CI/ ...

communicating technical concepts to non-technical stakeholdersStrong project management, influencing and cross-functional collaboration skillsIt would be great if you also hadAn understanding of metadata, data lineage and business data definitionsKnowledge of SQLExperience with Microsoft Purview, Profisee, Power BI or similar data management and reporting toolsKnowledge of Softcat's sales ...

governance, presenting at design forums and ensuring alignment with Bank-wide standards. Shape secure data architectures across Azure services, including ingestion, validation, modelling and metadata design. Partner with stakeholders across Technology, Data, Policy and Delivery to influence decisions and provide thought leadership. Support procurement processes, vendor assessments and technical requirements ...

strategic objectives and long-term business needs.Lead the VO’s data governance framework, embedding clear accountability for data ownership, stewardship, quality, access controls and metadata to ensure data is effectively managed across the organisation.Drive delivery of the Data Strategy implementation plan, including the data maturity programme, ensuring progress is measurable ...

document data flows, business entities and relationships across enterprise systems. Contribute to the ongoing development of architecture standards, principles and modelling best practices. Support metadata management, data catalogue and data discoverability initiatives. Requirements & Business Engagement Engage with business stakeholders to understand requirements, pain points and opportunities. Translate business requirements into … dimension modelling. Exposure to Kimball methodology and data warehousing concepts. Understanding of Data Vault principles and modern data architecture practices. Experience documenting data lineage, metadata and business definitions. Familiarity with cloud-based data platforms and analytics ecosystems. Understanding of data governance, master data and enterprise data management concepts. Experience working ...

core services, for example: Storage & Lakehouse: RDS, DynamoDB, S3, SageMaker Lakehouse Processing & ETL: Glue, EMR, Athena, CDC/DMS, DataBrew, Kinesis, dbt Data management & metadata: Lake Formation, Glue Data Catalog, SageMaker Catalog/DataZone AI: Bedrock (including AgentCore) and SageMaker AI On Azure, you’re fluent across the core services … Data Lake, OneLake, Fabric Warehouse Processing & ETL: Fabric Data Factory, Data Factory CDC, Fabric/Synapse Spark, ADF, Synapse Pipelines, Fabric, dbt Data management & metadata: Purview AI: Foundry, (including Agent Service), ML Data Product mentality : You build Data Products where every pipeline and dataset is discoverable, addressable and secure ...

Copilot Studio Build scalable components: prompt orchestration, retrieval layers, Power Automate flows, model interfaces, validation pipelines Develop and optimise RAG components - embeddings, vector queries, metadata strategies for accuracy and reliability Integrate AI agents with enterprise systems via Microsoft Graph, APIs, and Power Platform connectors Implement secure-by-design and responsible ...

configuration: Lead the development, configuration and implementation of Common Data Environments aligned to client requirements and ISO 19650 best practice. This includes folder structures, metadata, workflows and access control. Change Control: Establish and manage CDE configuration processes that support robust change control and governance. Information Standards: Produce project or programme ...

rollout and adoption of data governance tools and platforms.Monitoring data quality and assisting with issue investigation, root cause analysis and remediation activities.Managing and maintaining metadata, business glossaries and data dictionaries.Collaborating with business and technical stakeholders to promote governance best practice.Supporting continuous improvement initiatives that enhance data quality and governance processes.We … love you to haveA strong understanding of data governance principles, including data quality, metadata, lineage and ownership.Experience working with data in an operational, analytical or data-focused role.Excellent attention to detail and a passion for improving data accuracy and quality.Strong communication and stakeholder management skills, with the ability to explain ...

adoption of data governance tools and platforms. Monitoring data quality and assisting with issue investigation, root cause analysis and remediation activities. Managing and maintaining metadata, business glossaries and data dictionaries. Collaborating with business and technical stakeholders to promote governance best practice. Supporting continuous improvement initiatives that enhance data quality … governance processes. We'd love you to haveA strong understanding of data governance principles, including data quality, metadata, lineage and ownership. Experience working with data in an operational, analytical or data-focused role. Excellent attention to detail and a passion for improving data accuracy and quality. Strong communication and stakeholder ...

best practice.Information Lifecycle & Data GovernanceOversee end-to-end information lifecycle management (creation, classification, storage, retrieval, retention, disposal).Define and implement data governance frameworks, including metadata standards, naming conventions, and classification structures.Ensure information quality, integrity, accessibility, and security across systems.Enable effective use of information for business intelligence and decision-making.Digital Systems … configuration, administration, and optimisation of digital platforms including:Common Data Environments (CDEs)Microsoft 365/SharePoint OnlineAutodesk and related BIM platformsGovern access controls, workflows, metadata schemas, and automation.Ensure systems support ISO 19650 workflows and digital delivery requirements.Team Leadership & Capability DevelopmentLead, mentor, and develop Information Management and Document Control teams.Allocate resources ...

Defining semantic data layers, standards and governance practices that ensure consistency, quality and efficiency across the data platform. Managing logical and physical data models, metadata, business glossaries and data flows across the organisation. Partnering with Data Engineers, Analytics Engineers and senior technology stakeholders to deliver scalable solutions. Providing architectural assurance … analytical data models across complex environments. Azure Data Lakehouse and Medallion Architecture environments. Semantic layer design and curated data model development. Data governance, metadata management and architecture standards. THE BENEFITS: You will receive a salary of up to £90,000 depending on experience. HOW TO APPLY: Please register your interest ...