1 to 25 of 246 Remote/Hybrid Metadata Jobs in England

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 ...

platforms using Azure, AWS, or Google Cloud Knowledge of data warehousing, data lakes, medallion architecture, and modern data architecture patterns Experience with data governance, metadata management, and data quality practices Strong problem-solving, analytical, and stakeholder communication skills Nice to Have Experience working in healthcare organizations, healthcare technology, health information ...

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 ...

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 ...

Python, SQL, PySpark and Spark SQL Experience delivering production pipelines in AWS, Azure, or GCP environments. Solid understanding of data modeling, schema design, metadata management, and governance. Familiarity with CI/CD, Git-based workflows, and software engineering best practices. Why Join Us? We're a purpose-driven organisation committed ...

Python, SQL, PySpark and Spark SQL Experience delivering production pipelines in AWS, Azure, or GCP environments. Solid understanding of data modeling, schema design, metadata management, and governance. Familiarity with CI/CD, Git-based workflows, and software engineering best practices. Why Join Us? We're a purpose-driven organisation committed ...

methodologies, including Git. Proven experience working with Databricks, including data ingestion, transformation and optimisation of large-scale data processing workloads. Understanding of data governance, metadata management and data quality frameworks, including experience with tools such as Great Expectations or similar data validation solutions. Knowledge of Unity Catalog, including data lineage ...

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 ...

solutions, ensuring engineering excellence and reusability across the platform Establishing and governing enterprise data models, engineering standards, security controls, data quality frameworks, lineage and metadata management practices across the Azure Data Platform Leading the migration and modernisation of legacy data warehouse and SQL Server environments, driving adoption of cloud-native ...

solutions, ensuring engineering excellence and reusability across the platform Establishing and governing enterprise data models, engineering standards, security controls, data quality frameworks, lineage and metadata management practices across the Azure Data Platform Leading the migration and modernisation of legacy data warehouse and SQL Server environments, driving adoption of cloud-native ...

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 ...

align solutions with strategic technology standards.Evaluate new technologies and recommend improvements to existing platforms.Data Management and GovernanceSupport 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 CollaborationProvide technical leadership across delivery ...

Secure Government Data Architecture Practice. About you Technical Expertise 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 Factory ...

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 ...

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 ...

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 ...

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 ...