101 to 125 of 202 Metadata Management Jobs in England

Deep, hands-on experience designing and building data warehouses with strong command of dimensional modeling (e.g., Kimball methodology) Expertise in Google Cloud Platform, especially BigQuery architecture, optimization, and cost management Advanced SQL skills and production-level experience using dbt (or similar tools) to build modular, testable transformation pipelines Practical mastery of LookML and semantic layer design within Looker, including … tables, and scalability best practices It will also help you to have Experience establishing and enforcing data governance standards through technical architecture (not just documentation) Familiarity with data cataloging, metadata management, and observability tools A systems-thinking mindset-you understand the full data lifecycle and how to maintain integrity from source to dashboard At Booksy, we believe in More ❯

to fulfil the strategic data needs of the organisation, as defined by chief data architects. At this role level, you will: * design, support and provide guidance for the upgrade, management, decommission and archive of data in compliance with data policy * provide input into data dictionaries * define and maintain the data technology architecture, including metadata, integration and business intelligence … architect) Level: working You can: * develop data standards for a specific component * analyse where data standards have been applied or breached, and undertake an impact analysis of that breach Metadata management Level: working You can: * work with metadata repositories to complete complex tasks such as data and systems integration impact analysis * maintain a repository to ensure information … remains accurate and up to date Problem management Level: working You can: * initiate and monitor actions to investigate patterns and trends to resolve problems * effectively consult specialists where required * determine the appropriate remedy and assist with its implementation * determine preventative measures Strategic thinking Level: awareness You can: * explain the strategic context of your work and why it is important More ❯

to fulfil the strategic data needs of the organisation, as defined by chief data architects. At this role level, you will: design, support and provide guidance for the upgrade, management, decommission and archive of data in compliance with data policy provide input into data dictionaries define and maintain the data technology architecture, including metadata, integration and business intelligence … architect) Level: working You can: develop data standards for a specific component analyse where data standards have been applied or breached, and undertake an impact analysis of that breach Metadata management Level: working You can: work with metadata repositories to complete complex tasks such as data and systems integration impact analysis maintain a repository to ensure information … remains accurate and up to date Problem management Level: working You can: initiate and monitor actions to investigate patterns and trends to resolve problems effectively consult specialists where required determine the appropriate remedy and assist with its implementation determine preventative measures Strategic thinking Level: awareness You can: explain the strategic context of your work and why it is important More ❯

alignment by engaging with leaders across domains and geographies. Ensure data engineering initiatives match evolving business priorities. Promote a product mindset, balancing technical efficiency with clear business value. Team Management Lead the Data Engineering team, providing supervision, coaching, and professional development. Work with the Data Delivery Manager to improve team productivity and velocity. Oversee planning sessions, standups, retros, and … user needs when designing deliverables. Experience in designing technology solutions with complex end-to-end data flows. Experience in implementing data governance, including data cataloging, data lineage tracking, and metadata management to ensure data accuracy, accessibility, and compliance. Preferred: Experience with Databricks Understanding of how data platforms interact with marketing and customer engagement platforms. Knowledge of service-oriented More ❯

alignment by engaging with leaders across domains and geographies. Ensure data engineering initiatives match evolving business priorities. Promote a product mindset, balancing technical efficiency with clear business value. Team Management Lead the Data Engineering team, providing supervision, coaching, and professional development. Work with the Data Delivery Manager to improve team productivity and velocity. Oversee planning sessions, standups, retros, and … user needs when designing deliverables. Experience in designing technology solutions with complex end-to-end data flows. Experience in implementing data governance, including data cataloging, data lineage tracking, and metadata management to ensure data accuracy, accessibility, and compliance. Preferred: Experience with Databricks Understanding of how data platforms interact with marketing and customer engagement platforms. Knowledge of service-oriented More ❯

alignment by engaging with leaders across domains and geographies. Ensure data engineering initiatives match evolving business priorities. Promote a product mindset, balancing technical efficiency with clear business value. Team Management Lead the Data Engineering team, providing supervision, coaching, and professional development. Work with the Data Delivery Manager to improve team productivity and velocity. Oversee planning sessions, standups, retros, and … user needs when designing deliverables. Experience in designing technology solutions with complex end-to-end data flows. Experience in implementing data governance, including data cataloging, data lineage tracking, and metadata management to ensure data accuracy, accessibility, and compliance. Preferred: Experience with Databricks Understanding of how data platforms interact with marketing and customer engagement platforms. Knowledge of service-oriented More ❯

alignment by engaging with leaders across domains and geographies. Ensure data engineering initiatives match evolving business priorities. Promote a product mindset, balancing technical efficiency with clear business value. Team Management Lead the Data Engineering team, providing supervision, coaching, and professional development. Work with the Data Delivery Manager to improve team productivity and velocity. Oversee planning sessions, standups, retros, and … user needs when designing deliverables. Experience in designing technology solutions with complex end-to-end data flows. Experience in implementing data governance, including data cataloging, data lineage tracking, and metadata management to ensure data accuracy, accessibility, and compliance. Preferred: Experience with Databricks Understanding of how data platforms interact with marketing and customer engagement platforms. Knowledge of service-oriented More ❯

alignment by engaging with leaders across domains and geographies. Ensure data engineering initiatives match evolving business priorities. Promote a product mindset, balancing technical efficiency with clear business value. Team Management Lead the Data Engineering team, providing supervision, coaching, and professional development. Work with the Data Delivery Manager to improve team productivity and velocity. Oversee planning sessions, standups, retros, and … user needs when designing deliverables. Experience in designing technology solutions with complex end-to-end data flows. Experience in implementing data governance, including data cataloging, data lineage tracking, and metadata management to ensure data accuracy, accessibility, and compliance. Preferred: Experience with Databricks Understanding of how data platforms interact with marketing and customer engagement platforms. Knowledge of service-oriented More ❯

integration patterns, ETL/ELT processes, and data pipeline orchestration. Experience with AWS data platforms and their respective data services. Solid understanding of data governance principles, including data quality, metadata management, and access control. Familiarity with big data technologies (e.g., Spark, Hadoop) and distributed computing. Proficiency in SQL and at least one programming language (e.g., Python, Java More ❯

integration patterns, ETL/ELT processes, and data pipeline orchestration. Experience with AWS data platforms and their respective data services. Solid understanding of data governance principles, including data quality, metadata management, and access control. Familiarity with big data technologies (e.g., Spark, Hadoop) and distributed computing. Proficiency in SQL and at least one programming language (e.g., Python, Java More ❯

integration patterns, ETL/ELT processes, and data pipeline orchestration. Experience with AWS data platforms and their respective data services. Solid understanding of data governance principles, including data quality, metadata management, and access control. Familiarity with big data technologies (e.g., Spark, Hadoop) and distributed computing. Proficiency in SQL and at least one programming language (e.g., Python, Java More ❯

integration patterns, ETL/ELT processes, and data pipeline orchestration. Experience with AWS data platforms and their respective data services. Solid understanding of data governance principles, including data quality, metadata management, and access control. Familiarity with big data technologies (e.g., Spark, Hadoop) and distributed computing. Proficiency in SQL and at least one programming language (e.g., Python, Java More ❯

integration patterns, ETL/ELT processes, and data pipeline orchestration. Experience with AWS data platforms and their respective data services. Solid understanding of data governance principles, including data quality, metadata management, and access control. Familiarity with big data technologies (e.g., Spark, Hadoop) and distributed computing. Proficiency in SQL and at least one programming language (e.g., Python, Java More ❯

integration patterns, ETL/ELT processes, and data pipeline orchestration. Experience with AWS data platforms and their respective data services. Solid understanding of data governance principles, including data quality, metadata management, and access control. Familiarity with big data technologies (e.g., Spark, Hadoop) and distributed computing. Proficiency in SQL and at least one programming language (e.g., Python, Java More ❯

integration patterns, ETL/ELT processes, and data pipeline orchestration. Experience with AWS data platforms and their respective data services. Solid understanding of data governance principles, including data quality, metadata management, and access control. Familiarity with big data technologies (e.g., Spark, Hadoop) and distributed computing. Proficiency in SQL and at least one programming language (e.g., Python, Java More ❯

data intelligence to life. 🔍 Your Mission Architect & Implement Data Catalog Solutions — Lead the deployment and configuration of an enterprise-grade catalog (including data.world), aligned with robust data governance frameworks. Metadata & Lineage Management — Design metadata models, lineage tracking, and glossaries; implement automated enrichment, sensitive data detection, and trust indicators. Integration & Automation — Build and maintain connectors across platforms like … Snowflake, Databricks, Tableau, Power BI, and Salesforce. Implement REST APIs and event-driven automation for near real-time metadata synchronization. Data Governance Enablement — Define RBAC, data ownership models, workflows, and certification for golden datasets. Data Quality & Observability — Integrate DQ/DO tools (Monte Carlo, Anomalo, Soda) to visualize trust metrics and compliance dashboards. Collaboration & Adoption — Mentor teams, document best … practices, and drive adoption across engineering and business units. 🧠 What You Bring Experience in Data Architecture, Engineering, or Metadata Management. Enterprise-scale experience implementing data catalog platforms (data.world, Collibra, Alation, Informatica EDC, etc.). Hands-on expertise with data.world at scale. Deep understanding of metadata modeling, lineage capture , and data governance frameworks (GDPR, CCPA, HIPAA). Proficiency in More ❯

data intelligence to life. 🔍 Your Mission Architect & Implement Data Catalog Solutions — Lead the deployment and configuration of an enterprise-grade catalog (including data.world), aligned with robust data governance frameworks. Metadata & Lineage Management — Design metadata models, lineage tracking, and glossaries; implement automated enrichment, sensitive data detection, and trust indicators. Integration & Automation — Build and maintain connectors across platforms like … Snowflake, Databricks, Tableau, Power BI, and Salesforce. Implement REST APIs and event-driven automation for near real-time metadata synchronization. Data Governance Enablement — Define RBAC, data ownership models, workflows, and certification for golden datasets. Data Quality & Observability — Integrate DQ/DO tools (Monte Carlo, Anomalo, Soda) to visualize trust metrics and compliance dashboards. Collaboration & Adoption — Mentor teams, document best … practices, and drive adoption across engineering and business units. 🧠 What You Bring Experience in Data Architecture, Engineering, or Metadata Management. Enterprise-scale experience implementing data catalog platforms (data.world, Collibra, Alation, Informatica EDC, etc.). Hands-on expertise with data.world at scale. Deep understanding of metadata modeling, lineage capture , and data governance frameworks (GDPR, CCPA, HIPAA). Proficiency in More ❯

data intelligence to life. 🔍 Your Mission Architect & Implement Data Catalog Solutions — Lead the deployment and configuration of an enterprise-grade catalog (including data.world), aligned with robust data governance frameworks. Metadata & Lineage Management — Design metadata models, lineage tracking, and glossaries; implement automated enrichment, sensitive data detection, and trust indicators. Integration & Automation — Build and maintain connectors across platforms like … Snowflake, Databricks, Tableau, Power BI, and Salesforce. Implement REST APIs and event-driven automation for near real-time metadata synchronization. Data Governance Enablement — Define RBAC, data ownership models, workflows, and certification for golden datasets. Data Quality & Observability — Integrate DQ/DO tools (Monte Carlo, Anomalo, Soda) to visualize trust metrics and compliance dashboards. Collaboration & Adoption — Mentor teams, document best … practices, and drive adoption across engineering and business units. 🧠 What You Bring Experience in Data Architecture, Engineering, or Metadata Management. Enterprise-scale experience implementing data catalog platforms (data.world, Collibra, Alation, Informatica EDC, etc.). Hands-on expertise with data.world at scale. Deep understanding of metadata modeling, lineage capture , and data governance frameworks (GDPR, CCPA, HIPAA). Proficiency in More ❯

data intelligence to life. 🔍 Your Mission Architect & Implement Data Catalog Solutions — Lead the deployment and configuration of an enterprise-grade catalog (including data.world ), aligned with robust data governance frameworks. Metadata & Lineage Management — Design metadata models, lineage tracking, and glossaries; implement automated enrichment, sensitive data detection, and trust indicators. Integration & Automation — Build and maintain connectors across platforms like … Snowflake, Databricks, Tableau, Power BI, and Salesforce . Implement REST APIs and event-driven automation for near real-time metadata synchronization. Data Governance Enablement — Define RBAC, data ownership models, workflows, and certification for golden datasets. Data Quality & Observability — Integrate DQ/DO tools ( Monte Carlo, Anomalo, Soda ) to visualize trust metrics and compliance dashboards. Collaboration & Adoption — Mentor teams, document … best practices, and drive adoption across engineering and business units. 🧠 What You Bring Experience in Data Architecture, Engineering, or Metadata Management. Enterprise-scale experience implementing data catalog platforms ( data.world, Collibra, Alation, Informatica EDC, etc.). Hands-on expertise with data.world at scale. Deep understanding of metadata modeling, lineage capture , and data governance frameworks (GDPR, CCPA, HIPAA). Proficiency More ❯

data intelligence to life. 🔍 Your Mission Architect & Implement Data Catalog Solutions — Lead the deployment and configuration of an enterprise-grade catalog (including data.world ), aligned with robust data governance frameworks. Metadata & Lineage Management — Design metadata models, lineage tracking, and glossaries; implement automated enrichment, sensitive data detection, and trust indicators. Integration & Automation — Build and maintain connectors across platforms like … Snowflake, Databricks, Tableau, Power BI, and Salesforce . Implement REST APIs and event-driven automation for near real-time metadata synchronization. Data Governance Enablement — Define RBAC, data ownership models, workflows, and certification for golden datasets. Data Quality & Observability — Integrate DQ/DO tools ( Monte Carlo, Anomalo, Soda ) to visualize trust metrics and compliance dashboards. Collaboration & Adoption — Mentor teams, document … best practices, and drive adoption across engineering and business units. 🧠 What You Bring Experience in Data Architecture, Engineering, or Metadata Management. Enterprise-scale experience implementing data catalog platforms ( data.world, Collibra, Alation, Informatica EDC, etc.). Hands-on expertise with data.world at scale. Deep understanding of metadata modeling, lineage capture , and data governance frameworks (GDPR, CCPA, HIPAA). Proficiency More ❯

scale data architecture projects, providing strategic direction and expert guidance. Partner with senior technology leaders to develop and implement modern data strategies. Design and deliver innovative solutions for data management, governance, and cloud migration. Oversee the development of robust data platforms using cutting-edge cloud technologies. Manage project teams, mentor junior staff, and support business development initiatives. Ideal Candidate … enterprise data architecture, strategy, and implementation. Strong expertise in cloud technologies (AWS, Azure, GCP) with relevant certifications highly desirable. In-depth knowledge of data modeling, data lake design, and metadata management tools. Proven ability to design secure, scalable, and cost-effective data solutions in cloud ecosystems. Experience in the financial services sector, with a track record of success … in complex environments. Outstanding leadership and stakeholder management skills, with a collaborative and innovative mindset. Why Join Us? Work on transformative projects with leading financial institutions. Join a global network of data strategists, architects, and engineers. Enjoy a non-hierarchical, inclusive culture that values your expertise. Take advantage of extensive learning and career development opportunities. Access competitive family-friendly More ❯

Help shape the future of data governance at Stonewater. Were looking for a strategic and detail-oriented SDR Data Management Analyst to lead the delivery of our data management strategy and ensure confidence in our information assets. This is a key role where your expertise will directly support regulatory compliance and data integrity across the organisation. As the … standards. Expertise in data governance, BI/MI, and CRM systems, with a proven ability to align them to SDR requirements. Advanced knowledge of data quality frameworks, master data management, metadata, and reference data hierarchies. Proficiency in data validation, cleansing technologies, and lineage tracking. Familiarity with ETL/integration pipelines and validation of outputs for regulatory purposes. Excellent More ❯

and implementation of robust design guardrails, standards, and policies that balance both functional and non-functional requirements while managing relevant risks in system delivery. Demonstrate expertise in data models, metadata management, and data dictionaries. Possess in-depth knowledge of data systems and architectures, with an understanding of best practices for data management and maintenance. Utilize multiple data … design tools and methodologies. Stay abreast of advancements in digital information technology and their potential applications. Apply advanced analytics practices and methodologies. Proven experience in designing data models and metadata systems. Skilled at interpreting organizational needs and translating them into effective data solutions. Adept at providing oversight and expert guidance to data architects involved in the design and production … of data artifacts. Experienced in designing and supporting the management of data dictionaries. Lead the definition and ongoing enhancement of Data Architecture frameworks, ensuring alignment with broader enterprise architecture strategies. Own and manage the corporate data model and data catalog, establishing standards for data modelling and design. Provide assurance that all IT development (both internal and supplier-led) complies More ❯

and implementation of robust design guardrails, standards, and policies that balance both functional and non-functional requirements while managing relevant risks in system delivery. Demonstrate expertise in data models, metadata management, and data dictionaries. Possess in-depth knowledge of data systems and architectures, with an understanding of best practices for data management and maintenance. Utilize multiple data … design tools and methodologies. Stay abreast of advancements in digital information technology and their potential applications. Apply advanced analytics practices and methodologies. Proven experience in designing data models and metadata systems. Skilled at interpreting organizational needs and translating them into effective data solutions. Adept at providing oversight and expert guidance to data architects involved in the design and production … of data artifacts. Experienced in designing and supporting the management of data dictionaries. Lead the definition and ongoing enhancement of Data Architecture frameworks, ensuring alignment with broader enterprise architecture strategies. Own and manage the corporate data model and data catalog, establishing standards for data modelling and design. Provide assurance that all IT development (both internal and supplier-led) complies More ❯

and implementation of robust design guardrails, standards, and policies that balance both functional and non-functional requirements while managing relevant risks in system delivery. Demonstrate expertise in data models, metadata management, and data dictionaries. Possess in-depth knowledge of data systems and architectures, with an understanding of best practices for data management and maintenance. Utilize multiple data … design tools and methodologies. Stay abreast of advancements in digital information technology and their potential applications. Apply advanced analytics practices and methodologies. Proven experience in designing data models and metadata systems. Skilled at interpreting organizational needs and translating them into effective data solutions. Adept at providing oversight and expert guidance to data architects involved in the design and production … of data artifacts. Experienced in designing and supporting the management of data dictionaries. Lead the definition and ongoing enhancement of Data Architecture frameworks, ensuring alignment with broader enterprise architecture strategies. Own and manage the corporate data model and data catalog, establishing standards for data modelling and design. Provide assurance that all IT development (both internal and supplier-led) complies More ❯