1 to 25 of 547 Metadata Jobs in England

same Other Skills Proficiency in developing and maintaining complex data models (conceptual, logical and physical). Strong skills in data governance and metadata management. Experience with data integration design and implementation. Ability to write efficient, maintainable code for large scale data systems. Experience with CI/CD pipelines, version control ...

same Other Skills Proficiency in developing and maintaining complex data models (conceptual, logical and physical). Strong skills in data governance and metadata management. Experience with data integration design and implementation. Ability to write efficient, maintainable code for large scale data systems. Experience with CI/CD pipelines, version control ...

same Other Skills Proficiency in developing and maintaining complex data models (conceptual, logical and physical). Strong skills in data governance and metadata management. Experience with data integration design and implementation. Ability to write efficient, maintainable code for large scale data systems. Experience with CI/CD pipelines, version control ...

same Other Skills Proficiency in developing and maintaining complex data models (conceptual, logical and physical). Strong skills in data governance and metadata management. Experience with data integration design and implementation. Ability to write efficient, maintainable code for large scale data systems. Experience with CI/CD pipelines, version control ...

same Other Skills Proficiency in developing and maintaining complex data models (conceptual, logical and physical). Strong skills in data governance and metadata management. Experience with data integration design and implementation. Ability to write efficient, maintainable code for large scale data systems. Experience with CI/CD pipelines, version control ...

with Databricks. Data Engineering & Platform Build Build and optimize large-scale ETL/ELT pipelines using PySpark, SQL, and Delta. Oversee data quality frameworks, metadata management, lineage, and monitoring. Leadership & Stakeholder Engagement Work closely with business leaders and product teams to translate requirements into robust technical solutions. Guide development teams ...

with Databricks. Data Engineering & Platform Build Build and optimize large-scale ETL/ELT pipelines using PySpark, SQL, and Delta. Oversee data quality frameworks, metadata management, lineage, and monitoring. Leadership & Stakeholder Engagement Work closely with business leaders and product teams to translate requirements into robust technical solutions. Guide development teams ...

with Databricks. Data Engineering & Platform Build Build and optimize large-scale ETL/ELT pipelines using PySpark, SQL, and Delta. Oversee data quality frameworks, metadata management, lineage, and monitoring. Leadership & Stakeholder Engagement Work closely with business leaders and product teams to translate requirements into robust technical solutions. Guide development teams ...

quality monitoring and alerting processes. Work with data governance teams to ensure compliance with data governance policies and standards. Implement data lineage tracking and metadata management processes. Collaboration & Communication: Collaborate closely with data scientists, economists, and other technical teams to understand data requirements and translate them into technical solutions. Communicate ...

quality monitoring and alerting processes. Work with data governance teams to ensure compliance with data governance policies and standards. Implement data lineage tracking and metadata management processes. Collaboration & Communication: Collaborate closely with data scientists, economists, and other technical teams to understand data requirements and translate them into technical solutions. Communicate ...

quality monitoring and alerting processes. Work with data governance teams to ensure compliance with data governance policies and standards. Implement data lineage tracking and metadata management processes. Collaboration & Communication: Collaborate closely with data scientists, economists, and other technical teams to understand data requirements and translate them into technical solutions. Communicate ...

Define Data Architecture Principles and Standards by establishing clear guidelines, standards, and best practices for data modelling, data integration, data security, data quality, and metadata management. Provide architectural guidance and leadership, staying abreast of emerging technologies. Design Data Models, creating and maintaining conceptual, logical, and physical data models that ...

with Azure services including Azure Data Lake Storage, Azure Data Factory, Azure Synapse Analytics, Azure SQL, and Event Hub. * Implement data quality validation, monitoring, metadata management, and governance processes. * Collaborate closely with data architects, analysts, and business stakeholders to understand data requirements. * Optimize Databricks clusters, jobs, and runtimes for performance ...

across data engineering practices to enhance scalability, performance, and maintainability. Implement data observability and monitoring to ensure pipeline health and early issue detection. Manage metadata and lineage tracking to improve transparency, governance, and compliance across the data ecosystem. Key Responsibilities Design, implement, and maintain scalable data models and pipelines within ...

across data engineering practices to enhance scalability, performance, and maintainability. Implement data observability and monitoring to ensure pipeline health and early issue detection. Manage metadata and lineage tracking to improve transparency, governance, and compliance across the data ecosystem. Key Responsibilities Design, implement, and maintain scalable data models and pipelines within ...

monitoring, validation processes, and performance optimisation. Support AI initiatives by designing AI marts, feature engineering structures, and ML-ready datasets. Contribute to standardised KPIs, metadata, and a single source of truth for reporting. Work with business teams to translate complex requirements into scalable, high-impact models. Support agile delivery ...

robust data governance framework, including policies, standards, and procedures. Define data ownership models and appoint data stewards across key domains. Introduce and manage a metadata catalogue to enhance data discoverability and transparency. Establish clear retention, access, and usage policies for various data types. Governance Leadership Set up and lead ...

implement data models, schemas, and structures. Ensure that data models support business reporting and analytics needs while optimizing query performance. Maintain data dictionaries and metadata to document data structures and relationships. Performance Optimization Optimize data storage, retrieval, and query performance by implementing indexing, partitioning, and caching strategies. Monitor data processing ...

data pipelines. BI/Visualisation: Familiarity with BI and visualisation tools such as Tableau, QuickSight, or similar. Data Governance Tools: Experience with data cataloguing, metadata management, and data lineage tools. Contextual Understanding: Passionate about data quality, governance, and understanding the business context behind the data. This role is London-based ...

data pipelines. BI/Visualisation: Familiarity with BI and visualisation tools such as Tableau, QuickSight, or similar. Data Governance Tools: Experience with data cataloguing, metadata management, and data lineage tools. Contextual Understanding: Passionate about data quality, governance, and understanding the business context behind the data. This role is London-based ...

data pipelines. BI/Visualisation: Familiarity with BI and visualisation tools such as Tableau, QuickSight, or similar. Data Governance Tools: Experience with data cataloguing, metadata management, and data lineage tools. Contextual Understanding: Passionate about data quality, governance, and understanding the business context behind the data. This role is London-based ...

Preferred Qualifications: Experience with data product thinking or data mesh principles. Background in product architecture or enterprise architecture. Knowledge of data cataloging, lineage, and metadata management tools (e.g., Collibra, Alation, Amundsen). Familiarity with DevOps and DataOps practices, including CI/CD, version control, and infrastructure as code (e.g., Terraform ...

Preferred Qualifications: Experience with data product thinking or data mesh principles. Background in product architecture or enterprise architecture. Knowledge of data cataloging, lineage, and metadata management tools (e.g., Collibra, Alation, Amundsen). Familiarity with DevOps and DataOps practices, including CI/CD, version control, and infrastructure as code (e.g., Terraform ...

dimensional models in the gold layer built for analytical use Strong understanding and or use of unity catalog alongside core databricks functionality to drive metadata management Strong understanding of cloud economics, including cost management strategies and optimising solutions for customer needs.Experience with infrastructure as code, proficiency using tools such ...

heart of transforming legacy systems into scalable, production-grade architectures using Microsoft Fabric. You'll build complex ingestion pipelines, craft metadata-driven transformation layers, optimise data workflows, and deliver high-quality semantic models that power enterprise reporting. You'll work across Microsoft Fabric, Power BI, Power Platform, Dynamics ...