26 to 33 of 33 Metadata Jobs in Yorkshire

data product lifecycle, ensuring reusability and consistent consumer experience Partner with Data Engineers, Analysts, Architects, and Data Governance to define data models , data contracts, metadata, lineage, quality rules, retention and access controls in line with HSBC standards and policies Publish Data Products to the Data Fabric with appropriate documentation, certification … scalability Practical experience with data quality assessment, uncovering inconsistencies across systems, and driving remediation with accountable owners Familiarity with modern data platform patterns (e.g. metadata-driven discovery) and operating models for reusable data products Strong product delivery skills (backlog management, prioritisation, MVP definition, release planning), experience with JIRA and Confluence ...

establish and embed ABP’s enterprise data governance capability so that data is managed as a trusted business asset across policy, quality, stewardship, metadata, master data, privacy, and enabling tooling. The role will work across business and technology teams to define ownership and stewardship, improve data quality, implement governance standards … drive adoption of self-service analytics tools across the business. Ensure analytics products and models comply with ABP’s data governance, data quality, and metadata standards as set by the Data Governance function, maintaining appropriate documentation of assumptions, limitations, and monitoring requirements. Ensure compliance with security, regulatory, and ethical ...

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 ...

trusted, usable datasets that support better-informed decisions. Build scalable pipelines for batch and near real-time processing across cloud and on-premisesources. Strengthen metadata, lineageand data dictionary practices so informationremainssearchable and traceable. Shape data marts that reduce preparation time and give analysts more time to create insight. Design … Azure. Strong SQL capability and experience building scalable ELT or data pipelines for structured and semi-structured data. Understanding of data modelling, data marts, metadata-driven development, data dictionaries, data quality, governanceand lineage. Experience delivering through Agile and DevOps practices, including CI/CD, testing, automationand performance tuning. Confident collaboration ...

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 ...

skills in SAS, SQL, Python (or similar) for data extraction, validation and analysis. Deep understanding of data platforms and technologies (relational, NoSQL, data warehouses, metadata and transformation tools). Experience delivering analytics projects across teams, with awareness of FCA regulation in a lending environment. Highly self-motivated, detail-oriented … under pressure to tight deadlines Responsibilities: Translate business needs into data products, analytics and machine-learning solutions. Build and maintain data assets, models and metadata to global standards. Deliver insights across lending, consumer behaviour, marketing, pricing and growth. Develop predictive, forecasting and stress-testing models on large datasets. Lead complex ...