21 of 21 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 ...

legacy platforms such as Oracle, SQL Server/SSIS or Synapse. Power BI semantic models, curated datasets and supporting analytics platforms. Data quality, governance, metadata management and lineage. Data security, classification and access control approaches. Automated testing, validation, reconciliation testing and performance optimisation. DataOps, CI/CD and version control ...

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 ...

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 ...

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 ...

Cloud, Service Cloud, Revenue Cloud and Data Cloud Configuring and customising Salesforce using Apex, Lightning Web Components, Flows, Validation Rules, process automation and Custom Metadata Building scalable integrations between Salesforce and other platforms (Informatica, ERP, MDM, marketing automation, eCommerce, customer support and data platforms) using REST, SOAP, Platform Events ...

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 ...

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 ...

cause analysis + permanent remediation. Experience of Spark SQL, Delta Lake, Parquet + Hive metastore tables, including schemas, partitions and the relationship between table metadata and underlying files. Hands-on AWS experience, particularly S3, IAM and CloudWatch, with an understanding of role-based access, KMS encryption and diagnosing data access ...

root cause analysis + permanent remediation. Experience of Spark SQL, Delta Lake, Parquet + Hive metastore tables, schemas, partitions and the relationship between table metadata and underlying files. Hands-on AWS experience, particularly S3, IAM and CloudWatch, with an understanding of role-based access, KMS encryption + diagnosing data access ...

Experience Proven experience designing, implementing, or enhancing Data Governance Frameworks within large organisations. Strong understanding of data governance principles, data lifecycle management, data quality, metadata management, and compliance requirements. Experience establishing or embedding data stewardship and data ownership models. Demonstrable expertise in data ethics, including the development of policies, impact ...

ensure data availability, quality, and usability. Apply data parsing, extraction, and transformation techniques (e.g., NLP, OCR, image/audio processing). Implement data governance, metadata management, and data cataloging for unstructured data assets. Monitor and optimize data workflows for performance, reliability, and cost-efficiency. Ensure compliance with data privacy ...

Compliance to understand Data Governance Risk position and appetite, to communicate, lead and measure mitigation activities Build, own and maintain data asset cataloging and metadata, covering data lineage, classification and definitions documentation Make it clear and accessible for consumers Define quality requirements for data domains and data assets, based ...

case studies Manage website content through Umbraco CMS. Ensure all content aligns with SEO, accessibility and brand guidelines. Maintain content governance, taxonomy and metadata standards. Analytics & Performance Monitor SEO performance, rankings, traffic and conversion metrics. Produce actionable reports and recommendations based on performance insights. Track AI referral traffic and emerging ...

case studies Manage website content through Umbraco CMS. Ensure all content aligns with SEO, accessibility and brand guidelines. Maintain content governance, taxonomy and metadata standards. Analytics & Performance Monitor SEO performance, rankings, traffic and conversion metrics. Produce actionable reports and recommendations based on performance insights. Track AI referral traffic and emerging ...

architecture, enterprise data models, and domain architectures within complex organisations. You will have strong expertise in modern data platforms, integration architecture, master data management, metadata governance, and data quality frameworks, alongside hands-on experience with Microsoft Azure, Microsoft Fabric, and data governance tools such as Purview or OneTrust. The successful … principles, design patterns, architecture tools and artifact repositories. Strong understanding of integration architecture, modern data platforms, and master data management approaches. Strong knowledge of metadata management, lineage, data catalogues and data quality frameworks. Experience of working with Microsoft Azure data services, Microsoft Fabric, and governance tooling such as OneTrust, Purview ...

maintain data models aligned with business and programme requirements. Support data architecture across the SSO, IAM and Staff Index workstreams. Define data standards, metadata, data dictionaries and governance requirements. Design data integration and interoperability solutions using APIs and microservices. Undertake data profiling, source system analysis and reverse engineering of existing … Data Modelling . Proven ability to design, maintain and reverse-engineer data models. Experience with data integration, APIs, microservices and interoperability . Knowledge of metadata management, data governance, data quality and data security. Understanding of enterprise data management principles and the data lifecycle. Experience defining data standards and assessing their ...

modelling techniques, patterns, tools and standards. Presenting data architecture design to technical governance forums. Data Architecture Design: Data Modelling, Master Data Management (MDM), Metadata Management, Data Governance. Event-based architecture design, patterns (including pub-sub and data streaming), modelling techniques, tools and standards. Public cloud technologies, cloud hosting, container … methodologies, tools and best practice. Shaping and supporting technology initiatives, projects, programmes and portfolios. Desirable Skills: Communicating Data Data governance Data modelling Data standards Metadata management Turning business problems into data design ...

pipelines and data products. Develop solutions on GCP/BigQuery and publish reusable assets to the Data Fabric. Implement data quality, governance, lineage and metadata standards. Create data models supporting MI, resilience reporting and scenario analysis. Collaborate with architects, engineers and business stakeholders to deliver strategic data solutions. Own technical … data solutions. Strong SQL and Python development skills. Hands-on experience with GCP, BigQuery or similar cloud data platforms. Knowledge of data modelling, governance, metadata and lineage. Understanding of Operational Resilience, service dependencies and risk reporting. Experience working within Agile environments using JIRA and Confluence. Excellent stakeholder management and communication ...

prior project experience where they led or contributed to data management initiatives - e.g., data catalogue implementation, data lineage mapping, master data consolidation, data quality, metadata management . Experience defining and operationalising data stewardship roles and responsibilities within federated or centralised data governance models. Desirable: Experience in AI-related data preparation … have experience in one of the following roles: analyst, data engineer, data architect and specialists that have expertise in areas such as metadata management and master data management. WHAT YOU'LL LOVE ABOUT WORKING HERE As a Consultant/Senior Consultant, you will have the chance to shape responsible ...

clients to harness the value of data and AI. We advise across Data Governance, Strategy, Master Data Management (MDM), Data Quality & Observability, Metadata Management and Data Products as well as supporting organisations adoption of AI including Agentic Data Management, AI Observability, Semantic Layers and Ontologies. We are looking for candidates … standards, controls, ownership and stewardship models. Data Quality & Observability : working knowledge of profiling, rule definition, controls, monitoring, issue management, remediation and root-cause analysis. Metadata Management : experience with business glossaries, data catalogues, lineage, classification, metadata standards or data discovery processes and tools. Master & Reference Data Management : understanding of relevant principles ...