1 to 25 of 71 Permanent Metadata Jobs in the North of England

Familiarity with Agile delivery and DevOps practices (Azure DevOps, JIRA, etc.). Preferred Skills & Experience: Knowledge of EDM (Enterprise Data Management) practices, data governance, metadata management and lineage tools. Exposure to multi-cloud environments ( AWS or GCP ). Understanding of modern data architecture methodologies (Dimensional, ODS, Data Vault) and real ...

Python, SQL, PySpark and Spark SQL Experience delivering production pipelines in AWS, Azure, or GCP environments. Solid understanding of data modeling, schema design, metadata management, and governance. Familiarity with CI/CD, Git-based workflows, and software engineering best practices. Why Join Us? We're a purpose-driven organisation committed ...

data, classification, sensitivity labelling and information lifecycle (e.g. Microsoft Purview). Understanding of what makes a data estate 'AI‐ready' – content quality and structure, metadata, permissions and oversharing risk, unstructured data preparation, and retrieval patterns that underpin Copilot and agentic AI. Knowledge of applied AI and its commercial application – Microsoft ...

ThoughtSpot. Embed data governance, quality and assurance across the full data lifecycle, ensuring compliance with organisational policy, responsible use of AI and metadata management. Governance is enabled through Unity Catalog. Support the operation and continuous improvement of production data pipelines, data products and platform capabilities, improving reliability, performance, cost efficiency ...

ThoughtSpot. Embed data governance, quality and assurance across the full data lifecycle, ensuring compliance with organisational policy, responsible use of AI and metadata management. Governance is enabled through Unity Catalog. Support the operation and continuous improvement of production data pipelines, data products and platform capabilities, improving reliability, performance, cost efficiency ...

business and technical stakeholders to identify data requirements, create data models, and define data integration and migration strategies.Establish data governance practices, including data quality, metadata management, and data lineage, to ensure data accuracy, reliability, and compliance.Provide technical leadership in evaluating and selecting data management and data utilisation technologies, tools ...

. Implementing batch, incremental + streaming ETL/ELT workflows with reusable, production ready components. Data modelling, schema design, build data products, semantic layers, metadata management + governance. Designing + maintaining Foundry ontologies, including object types, link types, property types, and semantic relationships. Supporting Foundry Workshop apps, dashboards + ...

high standards of quality, governance and security. Desirable experience Regulated environment. PySpark for large-scale data transformations. Migrating legacy data estates to lakehouse or metadata-driven architectures. Customer Data Platforms or event-driven systems. Data-quality tools such as dbt tests or Great Expectations. MCP servers or governed natural-language ...

experience Financial services or another regulated environment. PySpark for large-scale batch or streaming transformations. Migrating SQL Server and SSIS estates to lakehouse or metadata-driven architectures. Customer Data Platforms or event-driven systems. Data-quality tools such as dbt tests or Great Expectations. MCP servers or governed natural-language ...

meaningful reporting and performance measurement solutions. Writing SQL scripts and supporting the automation of reporting processes to improve efficiency and consistency. Supporting data quality, metadata management and data governance activities, helping to ensure information is accurate, robust and reliable. Producing and maintaining report, dashboard and scripting documentation, alongside supporting user ...

measurable outcomes. Data Strategy, Governance & Semantic Technologies: Help clients establish trusted and connected R&D data foundations through governance, master data management, interoperability, metadata management, and modern data architectures. Lead the application of semantic technologies, ontologies, RDF-based knowledge graphs, and common data models to create a shared understanding ...

Data Science. End-to-End Capabilities: You understand the full lifecycle of data: discovery, storage, pipelines, ETL, and streaming, right through to data quality, metadata management, and advanced analytics for core decision-making. Data Product Mentality: You design Data Products ensuring that every pipeline and dataset is discoverable, addressable ...

Define Data Ownership, Data Stewardship, RACI and decision rights. Establish governance forums, councils and escalation mechanisms. Define and implement governance processes covering: Data Quality Metadata Management Business Glossary Data Classification Data Ownership & Stewardship Data Controls Master & Reference Data Define governance KPIs and maturity measures. Drive adoption of governance practices across ...

minimal redundancy. Partner with application development, architecture and business teams to define data strategies, data flows and source-to-target mappings. Develop and maintain metadata, data dictionaries and documentation to support enterprise data governance. Optimise and enhance existing data models to support new business initiatives and improve performance. Define … Experience working with relational databases and modern NoSQL platforms. Knowledge of ETL processes, data integration and data transformation techniques. Experience defining enterprise data standards, metadata management and naming conventions. Experience documenting data architecture, business rules, data dictionaries and technical specifications. Familiarity with UML and business process modelling techniques. Experience facilitating ...

GenAI within a governed environment Ensure the platform supports secure access to structured and unstructured data, including client, matter, financial and document metadata Define and enforce data governance, quality and compliance, working closely with Risk, Privacy and Information Security teams Act as the primary business and leadership for the data ...

handling effective and compliant, meeting regulatory requirements for storage, retention, deletion and classification Contribute to the Electronic Document Management System, ensuring effective structure and metadata, compliant access controls, reporting and operational oversight Support effective data governance across the business, including policies, standards and procedures Establish and enforce data quality standards ...

Studio and agents, Azure AI/OpenAI, machine learning) A clear understanding of what makes a data estate AI-ready – content quality and structure, metadata, unstructured data preparation, permissions and oversharing risk – and the ability to shape propositions around it Working knowledge of the UK data and AI regulatory landscape ...

governance groups by reporting on data governance activities, progress and organisational maturity. Develop and maintain policies, standards and processes relating to data quality, metadata, data lineage, access and retention. Act as the central point of accountability for data governance activity across the Group, ensuring actions are documented, tracked and delivered. ...

governance, integration and strategy Strong architectural judgement, with the ability to balance business value, technical complexity, risk, cost and compliance considerations Practical MDM and metadata management experience, specifically Databricks/Lakehouse platform Experience providing technical leadership and influencing decisions across large-scale programmes, transformation initiatives and diverse stakeholder groups ...

data models, business information models and data domain designs across complex enterprise environments. Set practical architecture standards for data products, data flows, integration patterns, metadata and data lifecycle management. 2. Data platform and solution design Design scalable cloud data platforms and lakehouse solutions using Microsoft Fabric, OneLake, Azure Data Factory … fragmented point solutions to modern cloud services. 3. Data governance, security and quality Design and embed proportionate data governance frameworks covering ownership, classification, lineage, metadata, data quality and retention. Apply Microsoft Purview and related tools to strengthen cataloguing, discovery, governance and compliance. Ensure architecture addresses data protection, access control, privacy ...

optimise data pipelines supporting both batch and real-time processing. Lead data integration, transformation, and migration initiatives. Establish and maintain data governance, data quality, metadata management, and security frameworks. Collaborate with engineering, architecture, and business stakeholders to deliver impactful solutions. Evaluate emerging technologies and recommend innovative approaches to enhance data … embeddings, and LLM integrations. Experience with both batch and streaming/real-time data processing. Strong understanding of data governance, quality management, lineage, and metadata frameworks. Excellent stakeholder engagement and communication skills with the ability to translate complex technical concepts into business outcomes. Desirable Experience within Financial Services, Professional Services ...

models, decisions and traceability within enterprise repositories - Support data ownership, stewardship and federated governance approaches, clarifying global and domain decision rights - Embed data quality, metadata, lineage, classification, privacy, traceability and auditability into architecture and delivery - Shape shared-identifier, master-data and reference-data approaches for defined domains or workstreams - Shape … Strong understanding of data ownership, stewardship, data products, contracts and federated governance in enterprise environments - Experience applying data management disciplines including governance, data quality, metadata and lineage, with emphasis on traceability and auditability - Experience designing data architectures that meet regulatory, privacy, security, classification and retention requirements - Experience supporting data migration ...

models, decisions and traceability within enterprise repositories - Support data ownership, stewardship and federated governance approaches, clarifying global and domain decision rights - Embed data quality, metadata, lineage, classification, privacy, traceability and auditability into architecture and delivery - Shape shared-identifier, master-data and reference-data approaches for defined domains or workstreams - Shape … Strong understanding of data ownership, stewardship, data products, contracts and federated governance in enterprise environments - Experience applying data management disciplines including governance, data quality, metadata and lineage, with emphasis on traceability and auditability - Experience designing data architectures that meet regulatory, privacy, security, classification and retention requirements - Experience supporting data migration ...

models, decisions and traceability within enterprise repositories - Support data ownership, stewardship and federated governance approaches, clarifying global and domain decision rights - Embed data quality, metadata, lineage, classification, privacy, traceability and auditability into architecture and delivery - Shape shared-identifier, master-data and reference-data approaches for defined domains or workstreams - Shape … Strong understanding of data ownership, stewardship, data products, contracts and federated governance in enterprise environments - Experience applying data management disciplines including governance, data quality, metadata and lineage, with emphasis on traceability and auditability - Experience designing data architectures that meet regulatory, privacy, security, classification and retention requirements - Experience supporting data migration ...

reference architecture and roadmaps for data and data technologies to enable data-driven transformation across the organisation. The successful candidate will govern data quality, metadata, and lineage, collaborate with executives, and mentor a team of data specialists to deliver value through analytics and AI-enabled insights. #J-18808-Ljbffr ...