1 to 25 of 58 Metadata Management Jobs in the City of London

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 ❯

partnering with some of the world's most recognizable brands, including Unilever, Diageo, Coca-Cola, Mars, P&G, Starbucks, Coty, L’Oréal, NBCU, and Aetna. Our expertise spans content management, logistics, creative operations, production, and digital commerce enablement, ensuring a seamless flow of content across all systems and channels. We empower brands to achieve operational excellence and confidently manage … will be responsible for driving strategy, efficiency, and leadership for the content operations of one or more client accounts. You will oversee and guide the execution of critical information management processes, ensure the smooth functioning of digital asset workflows, and drive excellence in client delivery. This is a key leadership role where you will manage a team of information … management professionals responsible for asset organization, metadata strategy, and content logistics across global markets. You will serve as a trusted advisor for clients, helping them optimize their digital ecosystems to meet evolving business objectives. Additionally, you will play a pivotal role in developing and maintaining best practices, ensuring compliance, and driving innovation in content operations. This hybrid role More ❯

partnering with some of the world's most recognizable brands, including Unilever, Diageo, Coca-Cola, Mars, P&G, Starbucks, Coty, L’Oréal, NBCU, and Aetna. Our expertise spans content management, logistics, creative operations, production, and digital commerce enablement, ensuring a seamless flow of content across all systems and channels. We empower brands to achieve operational excellence and confidently manage … will be responsible for driving strategy, efficiency, and leadership for the content operations of one or more client accounts. You will oversee and guide the execution of critical information management processes, ensure the smooth functioning of digital asset workflows, and drive excellence in client delivery. This is a key leadership role where you will manage a team of information … management professionals responsible for asset organization, metadata strategy, and content logistics across global markets. You will serve as a trusted advisor for clients, helping them optimize their digital ecosystems to meet evolving business objectives. Additionally, you will play a pivotal role in developing and maintaining best practices, ensuring compliance, and driving innovation in content operations. This hybrid role 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 ❯

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 ❯

knowledge of SQL, Python, and relevant data engineering frameworks (e.g. Databricks, Synapse, Snowflake, Redshift). Experience designing data platforms leveraging PaaS and SaaS solutions. Solid understanding of information governance, metadata management, and master data management principles. Experience leading data design across full project lifecycles (Discovery, Alpha, Beta, Live). Strong understanding of API design, event-driven architecture More ❯

knowledge of SQL, Python, and relevant data engineering frameworks (e.g. Databricks, Synapse, Snowflake, Redshift). Experience designing data platforms leveraging PaaS and SaaS solutions. Solid understanding of information governance, metadata management, and master data management principles. Experience leading data design across full project lifecycles (Discovery, Alpha, Beta, Live). Strong understanding of API design, event-driven architecture 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 ❯

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 ❯

Python, SQL, and Power BI (DAX, Power Query, data modelling). Knowledge of ETL/ELT pipelines, data warehousing, and data mesh architectures. Familiarity with AI/ML applications, metadata management, and data lineage tracking. Excellent communication and stakeholder management skills. Degree in Computer Science, Engineering, Mathematics, or a related STEM discipline. Experience in professional services or More ❯

Python, SQL, and Power BI (DAX, Power Query, data modelling). Knowledge of ETL/ELT pipelines, data warehousing, and data mesh architectures. Familiarity with AI/ML applications, metadata management, and data lineage tracking. Excellent communication and stakeholder management skills. Degree in Computer Science, Engineering, Mathematics, or a related STEM discipline. Experience in professional services or 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 ❯

Senior Consultant – Data Architecture (Management Level) Location: London (Hybrid) | Practice Area: Data & Analytics | Type: Permanent Design the vision. Architect the strategy. Drive enterprise transformation. The Role We’re looking for a Senior Consultant in Data Architecture to lead the design and delivery of scalable, cloud-enabled data solutions for enterprise clients. You’ll define architecture strategies, shape data platforms … architecture and modernisation. Define enterprise data strategies, architecture principles, and implementation roadmaps. Design and deliver cloud-native data platforms (AWS, Azure, GCP) and integration frameworks. Embed governance, security, and metadata management into architecture design. Translate complex technical concepts into business outcomes for stakeholders. Oversee project delivery and mentor junior consultants. Required Experience 4+ years’ experience in data architecture … cloud or data architecture (AWS, Azure, GCP, Databricks). Experience designing data lakes, data meshes, or large-scale migration programmes . Familiarity with graph data models , semantic modelling , or metadata tools . Background in consulting or experience leading transformation projects in regulated industries. Proven ability to lead teams and develop data architecture propositions. Why Join Shape enterprise data transformation More ❯

Senior Consultant – Data Architecture (Management Level) Location: London (Hybrid) | Practice Area: Data & Analytics | Type: Permanent Design the vision. Architect the strategy. Drive enterprise transformation. The Role We’re looking for a Senior Consultant in Data Architecture to lead the design and delivery of scalable, cloud-enabled data solutions for enterprise clients. You’ll define architecture strategies, shape data platforms … architecture and modernisation. Define enterprise data strategies, architecture principles, and implementation roadmaps. Design and deliver cloud-native data platforms (AWS, Azure, GCP) and integration frameworks. Embed governance, security, and metadata management into architecture design. Translate complex technical concepts into business outcomes for stakeholders. Oversee project delivery and mentor junior consultants. Required Experience 4+ years’ experience in data architecture … cloud or data architecture (AWS, Azure, GCP, Databricks). Experience designing data lakes, data meshes, or large-scale migration programmes . Familiarity with graph data models , semantic modelling , or metadata tools . Background in consulting or experience leading transformation projects in regulated industries. Proven ability to lead teams and develop data architecture propositions. Why Join Shape enterprise data transformation More ❯

Data Management & AI Governance Expert (Capital Markets) Location: London – Cheapside (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 ❯

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 ❯

reporting and analytics needs into efficient, well-governed data models. Your leadership will be key in identifying gaps, driving improvements, and implementing best practices in dimensional modelling, normalization, and metadata management. A strong understanding of the Insurance domain—including Specialized Insurance, London Market operations, and Regulatory Data—is essential. You will apply this domain expertise to ensure that data More ❯