1 to 25 of 113 Remote/Hybrid Metadata Jobs in London

operational stakeholders to turn ambiguous business issues into clear data analysis, engineering actions and controlled tactical fixes. Understanding of data ownership, stewardship, lineage, metadata, controls and data quality monitoring, with the ability to produce documentation that can be reused as part of an enduring data governance model. Experience implementing ...

environment separation (dev/test/prod), naming standards, and guardrails that enable secure self-service while maintaining control and consistency.* Support governance and metadata management: Implement data discovery, classification, lineage, and stewardship practices using AWS Glue Data Catalog, AWS Lake* Formation, and aligned standards for trusted, auditable data products. ...

Enterprise Data Architecture and Data Strategy.* Expertise in Data Modelling including Conceptual, Logical, and Physical Data Models.* Strong knowledge of Data Governance, Data Quality, Metadata Management, and Data Lineage.* Experience designing and implementing Data Warehouses, Data Lakes, and Modern Data Platforms.* Strong understanding of ETL/ELT Architecture and Data ...

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 philosophies (Dimensional, ODS, Data Vault) and real ...

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 ...

strategic technology standards. Evaluate new technologies and recommend improvements to existing platforms. Data Management and Governance Support implementation of data governance, quality, lineage and metadata management practices. Ensure data assets meet applicable regulatory, audit and control requirements. Drive improvements in data quality and trusted data consumption. Leadership and Collaboration Provide ...

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 ...

business functions including Policy Administration, Claims, Underwriting, Pricing, Reinsurance, Customer, and Finance.* Develop and maintain conceptual, logical, and physical data models.* Establish data governance, metadata management, data quality, master data management (MDM), and regulatory compliance frameworks.* Collaborate with business stakeholders, solution architects, product owners, and engineering teams to translate requirements ...

cloud-native orchestration services Event streaming:Kafka and cloud-native event-streaming technologies Data modelling:Dimensional,analyticaland domain-oriented modelling Data governance:Catalogue, metadata, lineage, quality, security,privacyand access controls Data products:Reusable, discoverable and well-governed dataproductsand marketplaces DataOpsand observability:Testing, monitoring, operationalcontrolsand platform reliability Platform engineering:Terraform, CloudFormation ...

defining integration patterns across core WAM platforms. Establish robust data quality, reconciliation and control frameworks, alongside master and reference data strategies aligned to governance, metadata, privacy and stewardship, with appropriate audit trails, review and escalation pathways for AI-enabled processes. Act as a subject matter expert, translating complex technical concepts ...

Google Cloud data services and modern data platforms. Experience with data modelling techniques including dimensional, relational or Data Vault modelling. Knowledge of data governance, metadata management and data quality frameworks. Experience working with AI and machine learning within data platforms, alongside an understanding of AI governance. Familiarity with platforms such ...

Secure Government Data Architecture Practice. About you – Technical expertise Area: Enterprise Data Architecture; Solution Data Architecture; Data Strategy; Information Architecture; Data Modelling; Data Governance; Metadata Management; Master Data Management; Data Quality; Reference Data. Cloud Platforms: Microsoft Azure; AWS; GCP. Modern Data Platforms: Databricks; Microsoft Fabric; PostgreSQL. Data Integration: Azure Data ...

evaluate and compare Data Architecture Options, platforms, and technology enablers based on business and technical requirements.Experience creating comprehensive Current-State Data Inventories, data dictionaries, metadata repositories, and lineage documentation.We are a Disability Confident Employer :Capgemini is proud to be a Disability Confident Employer (Level 2) under the UK Government ...

performance, scalability and cost Supporting batch, streaming and Real Time data processing, including high-volume transactional data Embedding best practice across governance, lineage, metadata and data quality Driving automation through CI/CD and Infrastructure as Code Working closely with engineering, analytics and data science teams as the trusted data ...

tuning across data pipelines processing jobs and storage layersContribute to CICD implementation and DevOps best practices for data engineering solutionsSupport data governance initiatives including metadata management data cataloguing lineage and access control frameworksEnsure compliance with security privacy retention and regulatory requirementsYour Skills:Strong handson experience with Azure Databricks and Azure ...

platforms worldwide. As demand for high-quality AI training data accelerates, we're uniquely positioned to transform our extensive video library into valuable datasets, metadata and insights for AI companies. We're looking for a Data Science & Analytics Lead to help us get more value from our data, improve ...

practices across security, performance, scalability and cost optimisation. Provide technical leadership, architecture governance and design documentation. Develop data quality frameworks, governance policies, schemas and metadata repositories. Integrate AI and machine learning into data solutions, including automation, anomaly detection and predictive data quality. Support data visualisation and translate complex data into ...

platform architectures. Deep knowledge of ETL/ELT, APIs, integration patterns, data pipelines, and event-based integration. Understanding of master data management, data governance, metadata, lineage, and data quality. Understanding of security, privacy, compliance, and data integrity requirements. Ability to evaluate complex business requirements and develop pragmatic, scalable technical solutions. ...

Automation Define architecture patterns, governance standards, security controls, and best practices for enterprise AI adoption. Apply GenAI capabilities to areas such as data transformation, metadata management, customer service, risk, compliance, operations, and process automation. Collaborate with engineering, data, cloud, and business teams to ensure successful delivery and adoption. Drive solution ...

platforming, modernisation and data architecture transformationExperience with business capability models, process taxonomies and maturity assessmentsExperience designing or governing data platform architectures, including data quality, metadata, security, privacy and complianceUnderstanding of public and private cloud architecturesExperience with hyperscale and enterprise platforms (e.g. SAP, Workday, Oracle, Salesforce, public cloud providers)Experience contributing ...

needed. Document your models, reports, calculations and assumptions clearly so that others can understand, challenge and build on your work. Support consistent naming conventions, metadata practices and ownership models as part of the team's broader governance effort. Participate in regular team reviews of the Fabric environment, identifying opportunities ...

leadership experience Strong Azure data platform expertise, including Azure Databricks Experience designing modern lakehouse and enterprise data architectures Strong understanding of data governance, metadata, MDM and enterprise data modelling Experience supporting AI/ML initiatives and modern AI data platforms Excellent stakeholder management and communication skills Experience working within enterprise ...

leadership experience Strong Azure data platform expertise, including Azure Databricks Experience designing modern lakehouse and enterprise data architectures Strong understanding of data governance, metadata, MDM and enterprise data modelling Experience supporting AI/ML initiatives and modern AI data platforms Excellent stakeholder management and communication skills Experience working within enterprise ...

establish clear ownership, accountability and sign-off. Lead cross-functional teams across engineering, architecture, data quality, analysis, reporting and testing. Define data governance, lineage, metadata, reconciliation, access and quality requirements. Support adoption across reporting, analytics, planning and executive decision-making. Establish the ongoing operating model, including stewardship, support and continuous ...

technical debt across the data ecosystem. Own the Data as a Product Community of Practice and the standards that bind every Data Product: metadata and data contract specifications, output port and schema design, data product versioning, DQ requirements, SLA and SLO declarations, and semantic layer conventions Champion data quality, lineage ...