1 to 25 of 438 Metadata Jobs in the UK

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 ...

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 ...

lakehouses, data virtualisation and distributed data architectures.Ensure data platforms are designed with scalability, reliability, performance, security and maintainability in mind.Embed data governance, data quality, metadata management and security principles into solution designs.Work with both structured and unstructured data across a range of technologies and platforms.Collaborate with engineering, analytics, data science ...

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 ...

regulated environments. Large-scale cloud transformation programmes. Agile delivery methodologies. Experience working alongside Data Product Owners and Data Architects. Exposure to data governance and metadata management frameworks. CI/CD, Infrastructure as Code, and DevOps practices within data platforms. Skills & Attributes Strong hands-on engineering capability. Consultative approach with ...

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 ...

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 ...

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 ...

cloud data platforms such as Google BigQuery, AWS Redshift, or Azure Synapse. CI/CD, DevOps, and Infrastructure as Code practices for data platforms. Metadata management, lineage tooling, and data observability/monitoring experience. Familiarity with dbt, Apache Airflow, Azure Data Factory, Kafka, Event Hubs, or comparable orchestration/integration ...

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 ...

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 ...

planning and adoption of emerging Microsoft Fabric capabilities. Design monitoring, disaster recovery, and business continuity strategies for critical data services. Promote effective data governance, metadata management, and catalogue standards. Mentor engineers and provide technical leadership across multiple data initiatives. Required Skills & Experience 5 years' experience in Data Engineering within cloud ...

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 ...

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 ...

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 ...

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 ...