1 to 25 of 61 Metadata Management Jobs

Proven experience in Capital Markets, particularly in trade and market data (e.g., OTC derivatives, pricing, trade lifecycle). Expertise in data governance, metadata management, data quality, and data access management. Job Title: Market Data Lead - Data Governance & Transformation Location: London, Cheapside Remuneration: £100,000 - £120,000 base plus … Data Governance & Transformation team. In this role, you will be responsible for managing and leading data governance initiatives for Market Data, ensuring robust data management processes across the organization. You will work closely with business, technology, and data stakeholders to drive excellence in metadata management, data quality ...

administration processes. As data analyst you will also support data quality initiatives to automate data quality checks and drive continuous improvement to enhance data management skills and improve data quality skills to learn to conduct data profiling, and resolve data discrepancies to ensure data accuracy and consistency. As data … analyst you will gain expertise in metadata management, data governance policies, and procedures, ensuring compliance and data accountability. Key Responsibilities Data Administration: Administer and maintain master data and other critical datasets (e.g., customer, vendor, material, finance in SAP ECC and other enterprise systems). Ensure data consistency ...

administration processes. As data analyst you will also support data quality initiatives to automate data quality checks and drive continuous improvement to enhance data management skills and improve data quality skills to learn to conduct data profiling, and resolve data discrepancies to ensure data accuracy and consistency. As data … analyst you will gain expertise in metadata management, data governance policies, and procedures, ensuring compliance and data accountability. Key Responsibilities Data Administration: Administer and maintain master data and other critical datasets (e.g., customer, vendor, material, finance in SAP ECC and other enterprise systems). Ensure data consistency ...

contractual obligations. Governance and Compliance: Ensure data architecture complies with internal governance policies and external regulations (e.g., GDPR). Support data stewardship and metadata management initiatives. Performance and Optimization: Monitor and optimize data architecture for performance, cost-efficiency, and reliability across cloud and on-premises systems. Documentation … governance, public-cloud platforms (Azure, AWS, GCP) , SQL Server, data integration with third-party systems, ideally Microsoft Fabric Experience with data modelling and metadata management Relevant degree or post-graduate qualification, ideally certification in Cloud Architecture and Data Management Strong data modelling and data architecture, cloud-native ...

role , requiring 3 days per week in the Warwick office . You will work with subject matter experts and stakeholders to ensure effective information management, governance, and compliance across multiple domains. Key Responsibilities: Information Modeling & Design: Develop information model diagrams using UML class notation for static and integration data … Governance & Compliance: Implement governance frameworks and support governance activities. Support the implementation of policies, standards, and guidelines related to data legislation and compliance. Knowledge & Metadata Management: Organize knowledge assets and manage their lifecycle (identification, classification, storage, maintenance). Enable users to find information through effective metadata ...

Lead - Data Specialist Contract: 6 months contract Location: London Hybrid 2 days in office Department: Data & Analytics Reports to: Lead, Metadata & Data Management About the Role We are hiring a Contractor Lead - Data Specialist to drive new data capabilities. This pivotal role involves building and operationalising reference data … data sourcing, data lineage, and integrating data management tooling to support a new enterprise data platform. You will lead the development of business-critical data management capabilities, ensuring data is trusted, well-defined, and meets organisational standards. This is a key opportunity to shape the data foundations ...

well thought out solutions with longevity in mind. · Quality Assurance & Best Practice: Establish and enforce data engineering standards, best practice, reusable frameworks. Quality assurance management through data engineering pipelines, ensuring both quality and performance of solutions. · Continuous Improvement: Stay up to date with the latest developments in technology changes … 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 ...

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 ...

innovative approaches or tools Data governance - define data governance and assurance for clients Data lifecycle - understand and apply data governance over a data lifecycle Metadata management - understand and promote the use of metadata repositories Data modelling - produce relevant data models across multiple subject areas Data standards - refine ...

innovative approaches or tools Data governance - define data governance and assurance for clients Data lifecycle - understand and apply data governance over a data lifecycle Metadata management - understand and promote the use of metadata repositories Data modelling - produce relevant data models across multiple subject areas Data standards - refine ...

innovative approaches or tools Data governance - define data governance and assurance for clients Data lifecycle - understand and apply data governance over a data lifecycle Metadata management - understand and promote the use of metadata repositories Data modelling - produce relevant data models across multiple subject areas Data standards - refine ...

innovative approaches or tools Data governance - define data governance and assurance for clients Data lifecycle - understand and apply data governance over a data lifecycle Metadata management - understand and promote the use of metadata repositories Data modelling - produce relevant data models across multiple subject areas Data standards - refine ...

innovative approaches or tools Data governance - define data governance and assurance for clients Data lifecycle - understand and apply data governance over a data lifecycle Metadata management - understand and promote the use of metadata repositories Data modelling - produce relevant data models across multiple subject areas Data standards - refine ...

innovative approaches or tools Data governance - define data governance and assurance for clients Data lifecycle - understand and apply data governance over a data lifecycle Metadata management - understand and promote the use of metadata repositories Data modelling - produce relevant data models across multiple subject areas Data standards - refine ...

innovative approaches or tools Data governance - define data governance and assurance for clients Data lifecycle - understand and apply data governance over a data lifecycle Metadata management - understand and promote the use of metadata repositories Data modelling - produce relevant data models across multiple subject areas Data standards - refine ...

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 ...

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 ...

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 ...

logical, physical) across relational, dimensional, and NoSQL paradigms. Skilled in data integration, ETL/ELT design, and API-driven architectures. Experience with data governance, metadata management, and master data management They're big on expertise, not hierarchy, so you'll be trusted with more responsibility while supported ...

days onsite Job Overview: Role Overview: We are seeking a highly experienced MDM Technical Solution Lead with deep expertise in Product Master Data Management (MDM) to lead the design and implementation of enterprise-wide master data solutions. The ideal candidate will have hands-on experience with Item, Variant, Product … Product Hierarchy, Pricing , and other product-related domains, along with a strong understanding of Product Information Management (PIM) systems. Experience across other MDM domains such as Customer, Supplier, Location, and Employee is highly desirable. This role requires a strong grasp of business processes related to product lifecycle, supply chain ...

Hybrid 3 days onsiteJob Overview: Role Overview: We are seeking a highly experienced MDM Technical Solution Lead with deep expertise in Product Master Data Management (MDM) to lead the design and implementation of enterprise-wide master data solutions. The ideal candidate will have hands-on experience with Item, Variant … Product, Product Hierarchy, Pricing , and other product-related domains, along with a strong understanding of Product Information Management (PIM) systems. Experience across other MDM domains such as Customer, Supplier, Location, and Employee is highly desirable. This role requires a strong grasp of business processes related to product lifecycle, supply ...

stakeholders to translate data requirements into effective technical solutions Ensuring data integrity, security, governance, and compliance across all data assets Implementing data observability, monitoring, metadata, and lineage tracking Developing and maintaining CI/CD pipelines for data engineering workloads Troubleshooting and resolving data platform issues, minimising business impact Driving … security best practices Familiarity with Agile delivery environments Experience preparing data for LLM or data agent readiness Exposure to data cataloguing tools and metadata management We are an equal opportunities employer and welcome applications from all suitably qualified persons regardless of their race, sex, disability, religion/belief ...

sector. · Experience with AWS data platform services. · Familiarity with BI/reporting tools and how data models support downstream consumption. · Knowledge of data governance, metadata management, and data lineage practices. What about You? You will be.... · Proactive, dynamic, and driven by delivering quality work, with a great ...

manage data lakes, warehouses, and streaming platforms for predictive analytics, digital twins, and operational intelligence. Define and maintain asset hierarchies, semantic models, and metadata frameworks for contextualized industrial data. Implement CI/CD pipelines for data workflows and ensure lineage, observability, and compliance across environments. Collaborate with AI/… teams to support model training, deployment, and monitoring using MLOps frameworks. Establish and enforce data governance policies, stewardship models, and metadata management practices Monitor and improve data quality using rule-based profiling, anomaly detection, and GenAI-powered automation Support GenAI initiatives through data readiness, synthetic data generation ...

Collaborate with data engineers, architects, and business stakeholders to understand data requirements and translate them into effective data structures. Document data models, definitions, and metadata to ensure clarity and consistency across the organisation. Review and optimise existing data models for performance, scalability, and maintainability. Lead model validation and quality … Nova platform (or similar). Excellent communication skills, with the ability to work collaboratively across technical and business teams. Experience in data governance, metadata management, and data quality assurance. Strong analytical and problem-solving skills. Desirable Experience working in regulated industries such as insurance or financial services. Familiarity ...