26 to 50 of 200 Metadata Jobs in the UK

workloads Expertise in streaming data architectures, event-driven systems and real-time data processing patterns Strong understanding of data modelling, data quality, metadata management, governance and data platform best practices Experience implementing software engineering best practices including CI/CD, automated testing, infrastructure-as-code and observability Demonstrated ability ...

Experience within Consumer Healthcare, Pharmaceuticals, FMCG, Retail, or similarly complex regulated environments is highly desirable. Understanding of enterprise data concepts, including: Data modelling Metadata management Reference data Data lineage Data catalogues and data marketplaces Demonstrable experience implementing MDM solutions, specifically across: Product Master Data Customer Master Data Background in defining ...

warehousing concepts, and ETL workflows. Strong analytical and problem solving abilities. Experience with code testing, validation, and quality control. Solid understanding of data structures, metadata, and data governance. We are a Disability Confident Employer: Capgemini is proud to be a Disability Confident Employer (Level 2) under the UK Government ...

Junior Data Engineer and Analyst on modern engineering standards and secure coding practices;- Work with the Software Engineering Manager to establish naming conventions, metadata standards, and data residency/sovereignty protocols.Stakeholder Engagement & Continuous Improvement - Constructively challenge stakeholders and teams where necessary on scope and delivery to ensure deliverables remain ...

methods Doing ad‐hoc analysis and presenting results in a clear manner Managing and designing the reporting environment, including data sources, security, and metadata Qualifications: Passion for the financial markets and investments. Alternatively, an extraordinary curiosity about business and industry Knowledge of time‐value of money concepts, risk return frameworks ...

designs produced by others, checking for architectural alignment and recommending changes where appropriate Desirable - Experience designing Azure-based Customer data solutions, including storage, transformation, metadata management, orchestration, lineage, and logging. Understanding of Machine Learning/AI applications for Customer personalization. Familiarity with capabilities supported by Databricks for Customer data processing. ...

Finance stakeholders to build optimised semantic models, enabling trusted self-service analytics via Power BI. Establish data quality controls, automated alerting, and clear metadata/data lineage tracking to ensure all reporting remains fully auditable. Your Background: Experience within Wealth/Asset Management is critical. Deep, hands-on experience building ...

designs produced by others, checking for architectural alignment and recommending changes where appropriate Desirable - Experience designing Azure-based Customer data solutions, including storage, transformation, metadata management, orchestration, lineage, and logging. Understanding of Machine Learning/AI applications for Customer personalization. Familiarity with capabilities supported by Databricks for Customer data processing. ...

Formation, Redshift and Athena. Enable AI and machine learning capabilities through governed, feature-ready datasets and integration with AWS AI services. Lead platform governance, metadata management, lineage and data quality initiatives. Define AWS multi-account operating models, landing zones, security guardrails and environment strategies. Drive platform performance, scalability, resilience ...

Databricks and related services. Develop and maintain datasets and data models that support analytics and reporting, following established modelling standards Contribute to data lineage, metadata management and cataloguing practices, including exposure to Purview Work closely with the Lead Data Engineer, Analysts and Architects to develop and improve engineering standards ...

Experience Required \n \n Data Architecture: Strong experience in data modelling, transformation, migration, and analytics/AI solutions, with knowledge of data quality, metadata, and modern platforms. \nCloud & Technology: Hands-on experience with AWS and/or Azure data services, plus knowledge of distributed systems, integration, microservices, and containerisation (Docker ...

Data Warehousing solutions and ETL and migration technologies \n A thorough understanding of one or more from: Master Data Management, Data Lineage analysis, Metadata Management, Data Quality assessment and management, Data Transformation and migration \n Ability to apply advanced analytics and statistics to business problems \n Proven experience of working ...

quality and enrichment, focusing on the most critical data first and tracking the tangible value-add with data consumers. Ensure Compliance & Transparency: Maintain complete metadata, data descriptions, and lineage while ensuring data is correctly classified, protected, and compliant with GDPR and internal security protocols. Manage Risk & Alignment: Engage with stakeholders ...

cloud‐based data platforms, particularly Snowflake. Understanding of ETL/ELT frameworks and tools such as dbt and Apache Airflow. Knowledge of data governance, metadata management, and data lineage concepts. Experience supporting Business Intelligence and reporting solutions. Familiarity with modern analytics engineering practices. Preferred Background Demonstrated experience delivering enterprise data ...

build scalable data pipelines ingesting data from hardware and edge systems Work with high-volume event-driven data, time series data, and rich metadata Ensure integrity, auditability, and traceability across the full data lifecycle Define data contracts and schemas in collaboration with engineering teams Support analytics, operational insight, and reporting ...

Code, automation, release governance, and quality gates. Establish platform engineering practices supporting continuous delivery and automation. Define Data Mesh principles, domain ownership models, governance, metadata management, and interoperability standards. Establish integration architecture across Snowflake, Kafka, cloud platforms, APIs, ETL/ELT, and downstream systems. Collaborate with business and engineering teams ...

definitions, lineage, quality, modelling, access and consumption. End-to-End Coordination: Ensure critical migration factors are met, including setting up correct access profiles, migrating metadata/data quality rules, and setting up UK analytical teams for success. Enterprise Integration & Roadmapping: Partner with Enterprise teams to plan migration sequencing and dependencies ...

Microsoft Fabric , and ETL/Data Integration concepts. Experience with data modelling, data mapping, and data lineage. Knowledge of data governance, data quality, and metadata management. Excellent stakeholder management, communication, and documentation skills. Experience working in Agile and Waterfall delivery environments. Strong analytical and problem-solving abilities. Mandatory Requirements Experience ...

Azure services, APIs, enterprise applications, data platforms and line‐of‐business systems Working knowledge of data and analytics concepts, including data quality, semantic layers, metadata, enterprise search and data readiness for AI use cases Experience shaping AI roadmaps, use case backlogs, reference architectures, reusable patterns and delivery approaches that balance ...

bridge the gap between business and technology teams. Excellent stakeholder management, communication and problem-solving skills. Nice to Have Knowledge of enterprise data architecture, metadata management or regulatory reporting. Experience with cloud data platforms, analytics or digital transformation programmes. Relevant certifications in Data Management, Banking, Project Management or Consulting. This ...

validity, and timeliness across systems. Oversee data quality, security, compliance, and access controls. Support data architecture, storage, and integration strategies. Maintain master data and metadata management processes. Manage the full data lifecycle, from creation and storage through to retention and deletion. Support reporting, analytics, and business intelligence initiatives. Provide guidance ...

hybrid role with 2 days onsite per week in Edinburgh City Centre and 3 days remote. Responsibilities Design, govern and oversee data models and metadata systems, ensuring alignment with business needs Provide strategic leadership on data architecture across the programme, supporting the overall architecture lead and data architect vision Ensure ...

Knowledge of relevant regulatory and compliance requirements, including GDPR, information management and data protection principles. Desirable Skills and Experience Experience supporting the introduction of metadata management, data cataloguing or data classification approaches. Experience working within cross-functional data teams, collaborating with data architects, engineers, platform teams and business stakeholders. Understanding ...

refining processes and improving the agility and quality of delivery.Supporting the adoption and optimisation of tools such as Alation for data cataloguing and metadata management.Working closely with business and technical stakeholders to ensure our data models are of the highest quality and fit for purpose.\n What you'll have ...

financial services customer, building deep relationships with key stakeholders (e.g., CTOs, CDOs, Data Architects). Design and implement data governance frameworks, including data lineage, metadata management, access controls, and compliance with industry regulations (e.g., GDPR, CCPA, BCBS 239). Develop and advocate strategies for federating data responsibility across different business ...