1 to 25 of 57 Remote Metadata Management Jobs in 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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

The Role We are seeking a Data Steward to ensure data quality, governance, and compliance across critical operational datasets, enabling reliable analytics and reporting. The role focuses on managing metadata, monitoring data reliability, and supporting business users in leveraging trusted and high-quality data. Key Responsibilities Data Governance & Stewardship Define and enforce data governance standards, policies, and processes across … operational datasets. Collaborate with business stakeholders to document business definitions, data ownership, and stewardship guidelines. Maintain data dictionaries, metadata, and lineage using Atlan. Data Management & Quality Serve as the technical lead for Data Management and Quality. Develop technical designs for data management frameworks and ensure integration within people, tools, and business processes. Monitor adherence to data … management best practices across the organisation. Data Quality & Reliability Monitor and ensure data accuracy, completeness, timeliness, and consistency across systems. Utilise Monte Carlo for data observability, proactively detecting and resolving data quality issues. Work with data engineering teams to establish validation, profiling, and anomaly detection frameworks. Stakeholder Engagement & Support Act as a bridge between business and technical teams, ensuring 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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

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 ❯