26 to 50 of 628 Metadata Jobs in the UK

Data Factory, Azure Data Lake and Power BI. Design scalable data lake, lakehouse, data warehouse and data integration solutions. Establish data governance, security, quality, metadata and lineage using Microsoft Purview. Provide architecture leadership for Data & AI, analytics and Generative AI initiatives. Lead architecture reviews, technology selection and technical assurance across ...

Spark, Apache Airflow, or equivalent data processing and orchestration frameworks. Experience supporting machine learning, analytics, or AI-focused data platforms. Familiarity with data governance, metadata management, data lineage, and data quality frameworks. Knowledge of DevOps practices, CI/CD pipelines, and automated testing for data solutions. Experience working in Agile ...

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 ...

master data, classification, sensitivity labelling and information lifecycle (e.g. Microsoft Purview) Understanding of what makes a data estate 'AI-ready' – content quality and structure, metadata, permissions and oversharing risk, unstructured data preparation, and retrieval patterns that underpin Copilot and agentic AI Knowledge of applied AI and its commercial application – Microsoft ...

data, classification, sensitivity labelling and information lifecycle (e.g. Microsoft Purview). Understanding of what makes a data estate 'AI‐ready' – content quality and structure, metadata, permissions and oversharing risk, unstructured data preparation, and retrieval patterns that underpin Copilot and agentic AI. Knowledge of applied AI and its commercial application – Microsoft ...

data, classification, sensitivity labelling and information lifecycle (e.g. Microsoft Purview). Understanding of what makes a data estate 'AI‐ready' – content quality and structure, metadata, permissions and oversharing risk, unstructured data preparation, and retrieval patterns that underpin Copilot and agentic AI. Knowledge of applied AI and its commercial application – Microsoft ...

data, classification, sensitivity labelling and information lifecycle (e.g. Microsoft Purview). Understanding of what makes a data estate 'AI‐ready' – content quality and structure, metadata, permissions and oversharing risk, unstructured data preparation, and retrieval patterns that underpin Copilot and agentic AI. Knowledge of applied AI and its commercial application – Microsoft ...

architecture and distributed data processing Data Management Experience with ETL/ELT frameworks and data integration patterns Knowledge of data quality, data governance and metadata management Familiarity with big data technologies and streaming solutions is advantageous Experience & Education Required Bachelor’s degree in computer science, Information Technology, Data Engineering ...

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 ...

data processing and distributed computing. Understanding of data warehousing concepts, dimensional modelling and ETL/ELT frameworks. Knowledge of data quality, data governance, metadata management and data security principles. Experience with CI/CD pipelines using Azure DevOps or GitHub, along with an understanding of cloud architecture. A bachelor ...

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 ...

Microsoft Fabric Azure Synapse Enterprise Data Platforms Strong dimensional data modelling experience. Experience designing secure and governed analytics solutions. Knowledge of data governance, lineage, metadata, and data quality principles. Experience implementing CI/CD and source control practices for Power BI solutions. Strong stakeholder management and communication skills. Experience delivering ...

Microsoft Fabric Azure Synapse Enterprise Data Platforms Strong dimensional data modelling experience. Experience designing secure and governed analytics solutions. Knowledge of data governance, lineage, metadata, and data quality principles. Experience implementing CI/CD and source control practices for Power BI solutions. Strong stakeholder management and communication skills. Experience delivering ...

Microsoft Fabric Azure Synapse Enterprise Data Platforms Strong dimensional data modelling experience. Experience designing secure and governed analytics solutions. Knowledge of data governance, lineage, metadata, and data quality principles. Experience implementing CI/CD and source control practices for Power BI solutions. Strong stakeholder management and communication skills. Experience delivering ...

Support migration and modernization initiatives, including Unity Catalog adoption, platform upgrades, and data platform transformations Build and maintain Databricks workflows, Delta Live Tables (DLT), metadata-driven frameworks, and orchestration processes Collaborate with architects, analysts, and business stakeholders to translate business requirements into technical solutions Ensure data quality, reliability, performance ...

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 ...

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 ...

patterns (ETL/ELT, API‐led connectivity). Strong capability to design distributed, highly available, and secure data pipelines. Information Architect: Deep expertise in metadata management, master data management (MDM), and reference data management. Proven ability to construct enterprise taxonomies, ontologies, data lineages, and business glossaries. Strong understanding of semantic ...

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 ...

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 ...

Azure SQL/SQL Server to process and manage large datasets. Design and implement data models using Kimball, 3NF and dimensional modelling approaches. Develop metadata-driven pipelines to improve automation and efficiency. Work closely with technical teams and clients to understand data requirements and deliver effective solutions. Maintain high standards ...

Azure SQL/SQL Server to process and manage large datasets. Design and implement data models using Kimball, 3NF and dimensional modelling approaches. Develop metadata-driven pipelines to improve automation and efficiency. Work closely with technical teams and clients to understand data requirements and deliver effective solutions. Maintain high standards ...

platforms such as Snowflake. Experience with DataOps.live or similar DataOps/DevOps tooling for automated deployment and environment management. Understanding of Data Product concepts, metadata, governance, and documentation practices. Good-to-have experience in Power BI for reporting, dashboards, and data visualisation. Knowledge of Python or another scripting language would ...

Ability to communicate insights clearly to non‐technical audiences. Preferred Skills Experience working in large enterprise data environments. Understanding of data governance, lineage and metadata management. Familiarity with version control tools. Awareness of AI/ML use cases in analytics. Strong stakeholder management and communication skills. Experience in Energy, Manufacturing ...

ThoughtSpot. Embed data governance, quality and assurance across the full data lifecycle, ensuring compliance with organisational policy, responsible use of AI and metadata management. Governance is enabled through Unity Catalog. Support the operation and continuous improvement of production data pipelines, data products and platform capabilities, improving reliability, performance, cost efficiency ...