1 to 25 of 84 Metadata Management Jobs in London

week in Central London office. My client is a top tier energy trading firm based in Central London. They are looking for a permanent Senior Data Engineer. The Data Management team is part of the Data Team which works closely with the Front Office and is the centre of data management, data quality and control and it has … This role bridges hands on data engineering with data governance. You will design and operate robust data pipelines and models with a focus on embedding governance by design - capturing metadata and lineage, enforcing access controls and data quality, and ensuring our catalogue and stewardship model reflect the reality of how data flows across the firm. You will collaborate with … traders, analysts, and product teams to translate business needs into governed data products that are high quality, discoverable, and meet the needs of its users. • Support the establishment and management of data products by identifying critical data, gathering and documenting data requirements, and embedding data risk and control management within data flows. • Develop and maintain the data catalogue More ❯

and integrate internal and external data assets and ensure our employees understand the value of data and the impacts to our business. As a Senior Manager of External Data Management for Travelers Europe, you will be the primary leader responsible for all third-party data (3PD) governance, strategy, and operations across the European business. You will define and execute … the vision for how Travelers Europe sources, evaluates, onboards, manages, and optimizes external data products from vendors and data providers. Working at the intersection of business strategy, vendor management, data governance, and technology implementation, you will ensure that third-party data investments deliver measurable business value while maintaining the highest standards of data quality, compliance, and security. You will … data sources, vendors, costs, usage, and business value Lead the development and socialization of the Europe external data operating model, establishing clear processes for evaluation, procurement, onboarding, and lifecycle management of third-party data products Define and enforce 3PD governance policies, standards, and best practices across all countries, ensuring compliance with regulatory requirements and corporate policies Conduct regular portfolio More ❯

and integrate internal and external data assets and ensure our employees understand the value of data and the impacts to our business. As a Senior Manager of External Data Management for Travelers Europe, you will be the primary leader responsible for all third-party data (3PD) governance, strategy, and operations across the European business. You will define and execute … the vision for how Travelers Europe sources, evaluates, onboards, manages, and optimizes external data products from vendors and data providers. Working at the intersection of business strategy, vendor management, data governance, and technology implementation, you will ensure that third-party data investments deliver measurable business value while maintaining the highest standards of data quality, compliance, and security. You will … data sources, vendors, costs, usage, and business value Lead the development and socialization of the Europe external data operating model, establishing clear processes for evaluation, procurement, onboarding, and lifecycle management of third-party data products Define and enforce 3PD governance policies, standards, and best practices across all countries, ensuring compliance with regulatory requirements and corporate policies Conduct regular portfolio More ❯

the following: Designing and implementing both relational (3NF) and dimensional (star/snowflake) data models for large-scale financial systems and analytical platforms. Working hands-on with ETL design, metadata management, and data cataloguing , ensuring robust data lineage and governance. Building standards and frameworks that define how data is structured and managed across multiple platforms. Collaborating closely with … financial services environments. Strong expertise in ERWin (or equivalent tools such as Sparx, RSA, Visio). Hands-on experience with relational and dimensional modelling methodologies. Understanding of ETL frameworks, metadata management, and data governance principles. Ability to communicate complex data concepts to senior stakeholders in client-facing settings. For Principal level: prior experience in thought leadership, client relationship … management, or revenue oversight . BENEFITS The successful Data Modeller will receive the following benefits: Salary: depends on seniority and experience criteria £50,000-£67,000 for Mid-Level £70,000–£88,000 for Senior level £90,000–£117,000 for Principal level Hybrid working model – 3 days per week onsite in London, both in office and with client More ❯

the following: Designing and implementing both relational (3NF) and dimensional (star/snowflake) data models for large-scale financial systems and analytical platforms. Working hands-on with ETL design, metadata management, and data cataloguing , ensuring robust data lineage and governance. Building standards and frameworks that define how data is structured and managed across multiple platforms. Collaborating closely with … financial services environments. Strong expertise in ERWin (or equivalent tools such as Sparx, RSA, Visio). Hands-on experience with relational and dimensional modelling methodologies. Understanding of ETL frameworks, metadata management, and data governance principles. Ability to communicate complex data concepts to senior stakeholders in client-facing settings. For Principal level: prior experience in thought leadership, client relationship … management, or revenue oversight . BENEFITS The successful Data Modeller will receive the following benefits: Salary: depends on seniority and experience criteria £50,000-£67,000 for Mid-Level £70,000–£88,000 for Senior level £90,000–£117,000 for Principal level Hybrid working model – 3 days per week onsite in London, both in office and with client More ❯

programme. Key Responsibilities Lead technical architecture and solution design for data products and open data services Provide design leadership across a multi-disciplinary team Apply expertise in data cataloguing, metadata management, and open/licensed data portals Leverage understanding of AI developments to shape and enhance data services Work with open source tools and cloud infrastructure (AWS, Terraform … of 7-8 and a wider programme of 50 Essential Skills & Experience Proven experience with data products and open/licensed data portals Knowledge of data cataloguing systems and metadata management Familiarity with CKAN or similar platforms Strong solution architecture and technical design capabilities Experience leading multi-disciplinary teams Cloud and infrastructure experience (AWS, Terraform) Programming skills in More ❯

Data Management Consultant Location: London Salary : Competitive salary package depending on experience Career Level: Consultant/Specialist, Associate Manager Accenture is a leading global professional services company, providing a broad range of services in strategy and consulting, interactive, technology and operations, with digital capabilities across all of these services. With our thought leadership and culture of innovation, we apply … communities in which we work and live. It is personal to all of us.” –? Julie Sweet, Accenture CEO As a team: We have an exciting opportunity for a Data Management Consultant to join our Data & AI Practice. As a Data Management Consultant, you will be responsible for designing and implementing Master Data Management (MDM) solutions that support … business and technical stakeholders to ensure that MDM strategies align with organizational goals and deliver measurable value. We deliver scalable, business critical solutions for our clients in the Data Management and Governance team. Our end-to-end experience allows our Data practitioners to advise on Data management and Strategy, Modelling, MDM, Data Quality, Metadata Management, Data More ❯

analytical business needs. Lead domain-driven data modeling efforts across conceptual, logical, and physical layers to ensure data designs reflect business domains and processes. Define and oversee Master Data Management (MDM) strategies, including tool selection, vendor evaluation, implementation, and adoption across the enterprise. Establish and maintain reference data management frameworks and governance processes. Develop and execute data strategies … including future state architecture, data governance, metadata management, data privacy, reference data management, and data integration. Lead the design and review of data architectures for both operational platforms (APIs, event streams, transactional systems) and analytical platforms (data lakes, warehouses, reporting). Establish and enforce data architecture standards, principles, and best practices across operational and analytical domains. Drive … transactional data flows. Strong background in data modeling (conceptual, logical, physical) with a focus on domain-driven design (DDD). Proven ability to select, implement, and scale Master Data Management (MDM) solutions, including strategy definition, vendor assessment, and governance adoption. Experience establishing reference data management and data quality practices at enterprise scale. Knowledge of analytical data architectures: data More ❯

analytical business needs. Lead domain-driven data modeling efforts across conceptual, logical, and physical layers to ensure data designs reflect business domains and processes. Define and oversee Master Data Management (MDM) strategies, including tool selection, vendor evaluation, implementation, and adoption across the enterprise. Establish and maintain reference data management frameworks and governance processes. Develop and execute data strategies … including future state architecture, data governance, metadata management, data privacy, reference data management, and data integration. Lead the design and review of data architectures for both operational platforms (APIs, event streams, transactional systems) and analytical platforms (data lakes, warehouses, reporting). Establish and enforce data architecture standards, principles, and best practices across operational and analytical domains. Drive … transactional data flows. Strong background in data modeling (conceptual, logical, physical) with a focus on domain-driven design (DDD). Proven ability to select, implement, and scale Master Data Management (MDM) solutions, including strategy definition, vendor assessment, and governance adoption. Experience establishing reference data management and data quality practices at enterprise scale. Knowledge of analytical data architectures: data More ❯

Snowflake, BigQuery, Redshift). Experience with streaming technologies (Kafka, Kinesis, or similar). Strong knowledge of data modelling, governance, and architecture best practices . Excellent leadership, communication, and stakeholder management skills. NICE TO HAVE: Background in data management, engineering, or database administration . Experience with metadata management and master data management (MDM) tools. Understanding of … this role, you are giving express consent for us to process (subject to required skills) your application to our client in conjunction with this vacancy only. KEY SKILLS: Data Management | Python | SQL | Airflow | dbt | GCP | AWS | Data Architecture | Kafka | Governance | Data Quality | Cloud Data Platforms More ❯

Snowflake, BigQuery, Redshift). Experience with streaming technologies (Kafka, Kinesis, or similar). Strong knowledge of data modelling, governance, and architecture best practices . Excellent leadership, communication, and stakeholder management skills. NICE TO HAVE: Background in data management, engineering, or database administration . Experience with metadata management and master data management (MDM) tools. Understanding of … this role, you are giving express consent for us to process (subject to required skills) your application to our client in conjunction with this vacancy only. KEY SKILLS: Data Management | Python | SQL | Airflow | dbt | GCP | AWS | Data Architecture | Kafka | Governance | Data Quality | Cloud Data Platforms More ❯

Snowflake, BigQuery, Redshift). Experience with streaming technologies (Kafka, Kinesis, or similar). Strong knowledge of data modelling, governance, and architecture best practices . Excellent leadership, communication, and stakeholder management skills. NICE TO HAVE: Background in data management, engineering, or database administration . Experience with metadata management and master data management (MDM) tools. Understanding of … this role, you are giving express consent for us to process (subject to required skills) your application to our client in conjunction with this vacancy only. KEY SKILLS: Data Management | Python | SQL | Airflow | dbt | GCP | AWS | Data Architecture | Kafka | Governance | Data Quality | Cloud Data Platforms More ❯

ASSISTANT VP DATA GOVERNANCE Permanent position - Hybrid with 4 working days on site.You must have banking experience and do not require sponsorship.Reporting to the data process management team.The role is to support UK operations in delivering data governance. The main responsibilities include the management of metadata, data lineage, data protection, data quality, data standards, and their policy … and monitoring their implementation to ensure all data standards are complied with and to achieve high data quality; to act as the 2LOD role for IT risks including Data Management Risk, Information Security Risk (including Cyber) and Technology Risk, be responsible for defining the relevant key controls, overseeing and challenging the effectiveness of control measures.Responsibilities: Develop Data Protection and … to the data governance program. Support all departments and business lines in making recommended changes, including helping to resolve any data related issues. Assist with various reports required by management, auditors or regulators. Carry out any ad hoc tasks assigned by the Head of Data and Process Management Office Participating in the lifecycle management of data, including More ❯

ASSISTANT VP DATA GOVERNANCE Permanent position - Hybrid with 4 working days on site. You must have banking experience and do not require sponsorship. Reporting to data process management team.The role is to support UK operations in delivering data governance. The main responsibilities include the management of, metadata, data lineage, data protection, data quality, data standards, and their … and monitoring their implementation to ensure all data standards are complied with and to achieve high data quality; to act as the 2LOD role for IT risks including Data Management Risk, Information Security Risk (including Cyber) and Technology Risk, be responsible for defining the relevant key controls, overseeing and challenging the effectiveness of control measures.Responsibilities: Develop Data Protection and … to the data governance program. Support all departments and business lines in making recommended changes, including helping to resolve any data related issues. Assist with various reports required by management, auditors or regulators. Carry out any ad hoc tasks assigned by Head of Data and Process Management Office Participating in the lifecycle management of the data including More ❯

Principal Data Modeller & Data Architect (Management Level) 📍 Location: London (Hybrid) | Practice Area: Data & Analytics | Type: Permanent We’re looking for a Principal Data Architect & Data Modelling Consultant to lead the design, development, and delivery of enterprise-grade data solutions across large-scale transformation programmes. In these strategic and hands-on roles, you’ll shape data architecture strategies, design best … physical data models that drive alignment between technology and business vision Partner with engineers, domain experts, and business teams to translate requirements into intelligent data solutions Support data governance, metadata management , and standards enforcement across programmes Act as a subject matter expert , presenting technical concepts in a clear business context Mentor data professionals and contribute to the development … or enterprise data transformation Proven experience designing and implementing cloud-native data solutions (AWS, Azure, or GCP) Strong understanding of data modelling practices (conceptual, logical, physical) and enterprise data management principles Hands-on experience with data modelling tools (e.g., Erwin, Sparx, PowerDesigner) and big data/cloud ecosystems (e.g., Databricks, Snowflake, Redshift, Spark) Solid grasp of data governance, metadata More ❯

of eLearning modules with Articulate or Captivate. * Legal training experience a plus. * Advanced knowledge of Microsoft Office 2016 in addition to other relevant legal applications (time recording systems, expense management systems, metadata management systems, document comparison systems, workflow management systems, electronic signature systems, PDF converters). * Proficiency in iManage document management system applications (FileSite, iManage More ❯

Databricks Certified, AWS/Azure/GCP Data Engineering certifications) Experience with DataOps, CI/CD practices, and infrastructure-as-code Knowledge of data governance, data quality frameworks, and metadata management Benefits: Hybrid/remote working environment, allowing you a flexible work-life balance to thrive both in the office and from the comfort of your home Competitive More ❯

Databricks Certified, AWS/Azure/GCP Data Engineering certifications) Experience with DataOps, CI/CD practices, and infrastructure-as-code Knowledge of data governance, data quality frameworks, and metadata management Benefits: Hybrid/remote working environment, allowing you a flexible work-life balance to thrive both in the office and from the comfort of your home Competitive More ❯

and data governance Implement data 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 technical concepts effectively More ❯

and data governance Implement data 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 technical concepts effectively More ❯

to collaborate across teams. Preferred Qualifications Experience with Databricks Unity Catalog and Delta Live Tables. Familiarity with streaming frameworks (Structured Streaming, Kafka, etc.). Background in data observability and metadata management. Exposure to machine learning pipelines or MLflow within Databricks. Knowledge of infrastructure as code (IaC) using Terraform or similar tools. To apply for this role please email across More ❯

reference architecture into solution design across domains (Commercial, Supply Chain, Enabling Functions). Partner with domain architects, integration, and cybersecurity teams to ensure alignment of data flows, controls, and metadata management. Support the Architecture Review Board (ARB) and data governance forums with clear, structured design artefacts. Governance & Standards Define and maintain solution patterns for data ingestion, transformation, analytics, and … sharing. Ensure adherence to enterprise data principles (trust, ethics, compliance, and privacy). Champion use of core platforms and common components to reduce data fragmentation and duplication. Collaboration & Stakeholder Management Work closely with business data owners, product teams, and data engineers to co-design pragmatic and value-driven data solutions. Partner with the Data Tower and Platform Engineering to … Databricks, SAP, Salesforce, Informatica, Collibra Skills and expeirence: Essential Proven experience designing enterprise-scale data and analytics solutions across hybrid cloud environments. Strong understanding of data modelling, data integration, metadata management, and data governance. Experience with modern data platforms such as Azure Data Lake, Databricks, Power BI, and SAP BTP. Solid grasp of enterprise integration patterns (APIs, streaming More ❯

reference architecture into solution design across domains (Commercial, Supply Chain, Enabling Functions). Partner with domain architects, integration, and cybersecurity teams to ensure alignment of data flows, controls, and metadata management. Support the Architecture Review Board (ARB) and data governance forums with clear, structured design artefacts. Governance & Standards Define and maintain solution patterns for data ingestion, transformation, analytics, and … sharing. Ensure adherence to enterprise data principles (trust, ethics, compliance, and privacy). Champion use of core platforms and common components to reduce data fragmentation and duplication. Collaboration & Stakeholder Management Work closely with business data owners, product teams, and data engineers to co-design pragmatic and value-driven data solutions. Partner with the Data Tower and Platform Engineering to … Databricks, SAP, Salesforce, Informatica, Collibra Skills and expeirence: Essential Proven experience designing enterprise-scale data and analytics solutions across hybrid cloud environments. Strong understanding of data modelling, data integration, metadata management, and data governance. Experience with modern data platforms such as Azure Data Lake, Databricks, Power BI, and SAP BTP. Solid grasp of enterprise integration patterns (APIs, streaming More ❯

Solution Architect to drive the architecture, design, and delivery of scalable, secure, and high-performing data products. This role acts as a strategic bridge between data engineering, analytics, product management, and business stakeholders to define and implement data product solutions that are technically sound and aligned with business goals. The ideal candidate is both technically hands-on and strategically … Proven ability to design and implement scalable and performant data solutions in complex environments. Experience working in cross-functional teams using agile or product-centric delivery models. Strong stakeholder management and communication skills, with the ability to align technical decisions with business goals. 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). Understanding of regulatory frameworks such as GDPR, CCPA, and industry-specific compliance (e.g., HIPAA, PCI). Our benefits Hybrid working model; Private medical More ❯

Data Management & AI Governance Expert (Capital Markets) Location: London - City (Hybrid - 3 days per week in office) Employment Type: Full-time, Permanent Salary: £80,000 - £90,000 per annum plus benefits, perks and healthcare options Note: Must Have Capital Markets Experience! About the Role We are seeking a Capital Markets Data Management & AI Governance Specialist to join a … glossaries, and implement robust data quality frameworks Identify and manage internal and external data sources, ensuring strong access and sharing controls. AI & Technology Enablement Build tools and processes for metadata management, data quality, and data sharing. Leverage AI and automation tools to improve data governance capabilities. Use Python, SQL, PySpark, Power BI, and related tools for data processing More ❯