51 to 75 of 197 Metadata Management Jobs in England

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 ❯

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 ❯

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 ❯

clients, ensuring client satisfaction through 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 within respective field/and … medallion-based architecture, with curated 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 tools such as Terraform to … or retail, which can help tailor data solutions more effectively to client needs.· Experience in building PowerBI semantic models for downstream visualisation consumption · Knowledge and or experience in data management tools such as Azure Purview or Collibra, with exposure to data cataloguing, lineage, and data quality standards. A bit about youWe have a strong ethos of accountability, quality and More ❯

costs, benefits, risks, and dependencies. Own and maintain core architecture artefacts, including: Data architecture policy, standards, and guidelines Data classification and data domain models Data architecture blueprint and lifecycle management process Register of authoritative sources and data security model Develop and maintain data models (conceptual, logical, physical), data flows, and integration patterns. Translate business and regulatory requirements into end … business functions to identify architecture requirements for critical processes and data elements. Partner with IT, service providers, and vendors to deliver the data architecture blueprint. Coordinate with other data management capabilities (data governance, data quality, reporting) to ensure alignment. Contribute architectural input to strategic projects, including delegated authority, claims, finance, and regulatory reporting. What you'll need: Essential Significant … including data security and access control. Experience developing and maintaining architecture artefacts, policies, and standards. Ability to build business cases, including cost/benefit and risk analysis. Familiarity with metadata management, data classification, and authoritative sources. Strong communication and stakeholder management skills, able to engage both technical and business leaders. Desirable London Market or wider insurance industry 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 ❯

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 ❯

proficiency in data modelling (conceptual, 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 by everyone around you. You More ❯

proficiency in data modelling (conceptual, 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 by everyone around you. You 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 ❯

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 - 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 ❯

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 ❯

stable “batch-first” integration strategy with AS400 during its .NET migration, with a roadmap toward API integration. Data Governance & Quality Implement the technical foundation for data governance – quality checks, metadata management, and master data validation. Embed business rules and validation logic directly within data pipelines. Define and manage data security and access controls (Azure and Power BI row More ❯