1 to 25 of 473 Metadata Jobs in the UK

Metadata Lead - HYBRID Metadata Lead This is a unique opportunity to take ownership of an enterprise metadata capability, shaping how data is discovered, governed and trusted across the organisation. As the Metadata Lead, you will own the vision and roadmap for our metadata tooling landscape, including Collibra and Unity Catalog … technical and regulatory needs into scalable, business-focused solutions while driving adoption, value realisation and continuous improvement. This is an exciting opportunity for a metadata leader ready to drive real business value through data. Main Responsibilities as Metadata Lead: Design, own and deliver the metadata roadmap. Lead Collibra and Unity ...

future scalability.Experience assessing data quality across source systems and defining practical remediation approaches, including profiling, rule definition, issue management and ownership.Strong understanding of metadata management, including business metadata, technical metadata, operational metadata, lineage, cataloguing, enterprise metadata models and integration with wider data governance.Ability to map dependencies across technology, process, people … roadmap development and production of client-facing deliverables.DesirableExperience working with UK public sector organisations or similarly complex, regulated environments.Experience delivering MDM, data governance or metadata management work within central government, healthcare, housing, education, policing, defence or wider public services.Experience with Microsoft Fabric and its interaction with Purview, OneLake, Power ...

with the ability to design innovative solutions to complex data challenges. Data Modelling (Conceptual, Logical, Physical), Data Warehousing, Data Lakes, Data Mesh, Data Governance, Metadata Management, Master Data Management. Skilled in leading the lifecycle of production-grade data products, from conceptual modelling to deployment and continuous optimization Familiarity with ...

Azure Data Factory Define data modelling strategies, including dimensional modelling, enterprise data models and lakehouse patterns Establish architectural standards around data governance, security, metadata, lineage and data quality Act as a design authority, reviewing and assuring technical solutions across delivery teams Work with engineering teams to ensure architectures are practical ...

target data warehouses.Experience performing data profiling, root-cause analysis, data quality assessments, exception resolution, and reconciliation activities.Understanding of data governance concepts including data quality, metadata management, data cataloging, lineage, stewardship, controls, and ownership.Strong understanding of relational data models, dimensional data modeling concepts, and data warehouse architectures including fact and dimension ...

Microsoft Fabric, Azure Synapse Analytics, Azure Data Factory, Azure Data Lake, Databricks, and Snowflake.Data Management, Governance & Controls – Experience establishing data governance frameworks, operating models, metadata management, lineage, cataloguing, data quality, and master data management capabilities. Familiarity with governance and compliance tooling such as Microsoft Purview, Profisee, Informatica and Collibra.Data Modelling ...

providing ongoing technical direction.Collaborate with stakeholders across business, product, and IT to gain buy-in and drive data-driven decisions.Define data models, data flows, metadata standards, and integration patterns.Contribute to data engineering, automation, and infrastructure-as-code practices for delivery at scale.Ensure data security, privacy, compliance, and risk management ...

leveraging modern automation and approved AI-assisted engineering tools where appropriate to improve delivery quality and efficiency.Drive the integration of data governance, metadata management, cataloguing, privacy and security capabilities, ensuring solutions align with regulatory requirements and responsible AI principles.Act as a trusted advisor to clients, translating complex technical concepts into ...

required.Governance, Security and Data ManagementExperience designing within structured architectural governance frameworks.Familiarity with government assurance processes and design authorities.Strong understanding of data governance frameworks and metadata management.Experience designing for GDPR and UK public sector data protection requirements.Appreciation of infrastructure considerations and security boundaries in regulated cloud environments.Stakeholder EngagementAbility to influence architectural ...

delivery teams through complex technical decisions ensuring solutions are robust, governable and deliverable into live service. Key responsibilities include: * Designing data architectures, including cataloguing, metadata, lineage, quality, ownership and classification, to ensure data is trusted, discoverable, secure and fit for purpose from source to consumption. * Taking architectural ownership ...

guide delivery teams through complex technical decisions ensuring solutions are robust, governable and deliverable into live service.Key responsibilities include:* Designing data architectures, including cataloguing, metadata, lineage, quality, ownership and classification, to ensure data is trusted, discoverable, secure and fit for purpose from source to consumption.* Taking architectural ownership ...

clients address their biggest data challenges, focusing on establishing robust data governance frameworks, improving data quality, managing data migrations, and implementing effective master and metadata management strategies.Our projects vary greatly and your responsibility will differ based on your level, experience and the focus of the client engagement, but could include ...

DataOps, DevOps, CI/CD pipelines, and Infrastructure as Code.Expertise in data modelling, data warehousing, and master data management principles.Strong understanding of data governance, metadata management, and data quality frameworks.Desirable Skills:Professional certifications in AWS, Azure, GCP, or Data Engineering.Experience within aerospace, defence, manufacturing, or highly regulated industries.Knowledge ...

/CD pipelines, and Infrastructure as Code. Expertise in data modelling, data warehousing, and master data management principles. Strong understanding of data governance, metadata management, and data quality frameworks. Desirable Skills: Professional certifications in AWS, Azure, GCP, or Data Engineering. Experience within aerospace, defence, manufacturing, or highly regulated industries. Knowledge ...

company's enterprise data warehouse. Responsibilities include: Dimensional modelling Star schema design Fact and dimension modelling Slowly changing dimensions Master data management Metadata management Semantic layer design Data lineage Business definitions Data quality controls You will ensure the warehouse becomes the trusted source for all business reporting. Data Engineering Remain ...

governance through automated validation and monitoring. Optimise data processing performance and troubleshoot production data pipelines. Collaborate with architecture and governance teams to implement security, metadata and data lineage. Contribute to CI/CD, Infrastructure as Code, automated testing and DevOps best practices. Essential Skills Proven experience as an Azure Data ...

Desirable Experience Delta Lake Power BI optimisation Azure DevOps/CI/CD ITIL environments Experience working with retail, hospitality or consumer goods data Metadata management and data lineage Why Apply? This is a fantastic opportunity to join a business that's making significant investment in its data capabilities. ...

cloud storage, relational DBs, APIs, event streams) and implement robust ingestion patterns.Apply data governance and security best practices (access controls, secrets management, lineage/metadata, auditing).Create clear documentation for pipelines, data contracts, and operational runbooks.Leverages enterprise-authorized AI coding assist tools within the work environment to improve code quality ...

books & records/AUM, pricing, corporate actions, fees/NAV).Drive master and reference data strategies (clients, instruments, counterparties, legal entities) aligned to governance, metadata, privacy, and stewardship.Act as a subject matter expert, translating complex technical concepts into clear business value for senior stakeholders.What We’re Looking ForProven experience delivering ...

delivery methodologies including requirements and discovery, Agile delivery, testing, deployment, and post-production supportStrong understanding of data governance and security frameworks including data quality, metadata management, lineage, user and permission management, compliance, and access controlsExcellent documentation skills with the ability to create and maintain solution designs, data dictionaries, business glossaries ...

delivery methodologies including requirements and discovery, Agile delivery, testing, deployment, and post-production supportStrong understanding of data governance and security frameworks including data quality, metadata management, lineage, user and permission management, compliance, and access controlsExcellent documentation skills with the ability to create and maintain solution designs, data dictionaries, business glossaries ...

engineer data pipelines to be scalable, robust, automatable, and repeatable · Navigate, explore and query large scale datasets · Build processes supporting data transformation, data structures, metadata, dependency and workload management · Identify and resolve data issues including data quality, data mapping, database and application issues · Implement data flows to connect operational systems ...

data pipelines, and automated workflows for moving and processing data.Data Governance: Adherence to data governance, security, and privacy standards throughout the development lifecycle, including metadata management, data quality, and lineage tracking.Distributed Computing: Knowledge of distributed computing techniques like parallel processing, streaming, and batch workflow orchestration.Connect to your business - Technology ...

data pipelines, and automated workflows for moving and processing data.Data Governance: Adherence to data governance, security, and privacy standards throughout the development lifecycle, including metadata management, data quality, and lineage tracking.Distributed Computing: Knowledge of distributed computing techniques like parallel processing, streaming, and batch workflow orchestration.Connect to your business - Technology ...

Lead the design of conceptual, logical, and physical data models Support batch, streaming, and real-time data processing capabilities Drive best practice across governance, metadata, lineage, and data quality Optimise platform performance, scalability, reliability, and cost Collaborate closely with engineering, analytics, architecture, and data science teams Provide technical leadership ...