1 to 25 of 64 Permanent Metadata Management Jobs in London

work permit required: Yes col-narrow-right Job Reference: 5116e7faa47d Job Views: 26 Posted: 12.08.2025 Expiry Date: 26.09.2025 col-wide Job Description: We are a leading global asset management firm with over 3,000 employees across 20 offices in 15 countries; we help millions of investors around the world pursue their financial goals. We hire critical thinkers. People … Master's degree in Computer Science, Engineering, or related technical field 8+ years of experience in enterprise data architecture or systems design Strong knowledge of data governance, lineage, and metadata management principles Proven experience with large-scale data migration projects and cloud transformation Deep understanding of enterprise architecture frameworks and methodologies Experience with financial risk systems and analytics … platforms Strong technical background in database platforms (Oracle, Snowflake) Understanding of cloud architecture principles (AWS preferred) Excellent communication and stakeholder management skills Ability to translate complex technical concepts for non-technical stakeholders PREFERRED CERTIFICATIONS Cloud platform certifications (AWS Certified Solutions Architect, Azure, GCP) Data Management certifications (CDMP, DAMA) Project/Program Management certifications (PMP, Prince2, Agile/ More ❯

designing scalable, high-performance data architectures on Azure and Databricks ? Do you thrive on solving complex data challenges, integrating modern data platforms, and defining best practices for enterprise data management? We are looking for a Data Architect to lead the design and implementation of cutting-edge data solutions in a cloud-native environment. You will play a key role … in shaping data strategy, designing high-level and low-level architectures , and ensuring the seamless integration of data management tools. If you enjoy working with big data technologies, governance frameworks, and modern analytics platforms , this role is for you! Key Responsibilities Design and architect scalable, secure, and cost-effective Azure Databricks solutions for business and analytical workloads. Translate business … into high-level and low-level solution designs , ensuring alignment with best practices. Define and implement enterprise data governance, security, and compliance strategies. Lead the integration of core data management capabilities , including: Master Data Management (MDM) solutions for single-source-of-truth data Data catalogue tools for metadata management and discovery Data governance frameworks for policy More ❯

business objectives and strategic themes. Define the target data architecture and roadmap, considering scalability, performance, security, and cost-effectiveness. Stay abreast of industry trends and emerging technologies in data management and analytics. Data Modelling & Design: Design and implement logical and physical data models that support the analytical and modelling requirements of the platform. Define data dictionaries, data lineage, and … metadata management processes. Ensure data consistency, integrity, and quality across the platform. Data Integration & Pipelines: Define data integration patterns and establish robust data pipelines for ingesting, transforming, and loading data from diverse sources (e.g., APIs, databases, financial data providers). Work closely with data engineers to implement and optimise data pipelines within the Azure Databricks environment. Ensure data … procedures. Define data quality metrics and implement data quality monitoring processes. Ensure compliance with relevant data privacy regulations and security standards. Technology Evaluation & Selection: Evaluate and recommend appropriate data management technologies and tools for the platform. Conduct proof-of-concepts and technical evaluations to validate technology choices. Work with vendors and partners to ensure successful implementation of chosen technologies. More ❯

Database Developer London-based | Hybrid (3 days in-office) | Full-time Postgres SQL Metadata management Data Exchanges Digital Service Digital Supply chain Digital Distribution PL Sql (Procedural SQL) scripts We’re an independent, creative company looking for a talented Database Developer to join our London-based technology team. You’ll help maintain and evolve a custom-built, business … functions Support testing and ongoing improvements to the data platform Monitor performance and implement iterative enhancements Work closely with business users to understand and interpret data needs Postgres SQL Metadata management Data Exchanges Digital Service Digital Supply chain Digital Distribution PL Sql (Procedural SQL) scripts You’ll Bring 5+ years' experience in SQL/database development A passion … skills in Git (or similar) and experience with release/version control Bonus Points Experience in data-heavy creative or media industries Passion for the arts Familiarity with structured metadata standards (e.g., DDEX ERN or RDR) Experience with PostgreSQL , AWS RDS , and S3 Perks & Benefits 25 days holiday , plus bank holidays and a Christmas office closure 6% employer pension More ❯

role centred on managing and ensuring the integrity of Commercial data across various platforms and compliance with legal standards like GDPR. Key responsibilities include implementing data quality rules, documenting metadata, integrating master data, and generating insightful reports. The candidate should have experience working with SQL, conducting comprehensive data analysis, and possesses skills in project delivery, data governance, and effective … communication. As the role is embedded within the Commercial department, experience in an airline or a similarly strategic business environment is a significant advantage. JOB ACCOUNTABILITIES Data Quality Management: •Develop and implement Data Quality rules. •Monitor data integrity using Data Quality tools. •Identify, report, and analyse Data Quality issues. Metadata Management: •Collect and document table and column … descriptions, business terms, KPIs. •Facilitate the integration of metadata into the Data Catalogue (tool implementation forthcoming). Master Data Management and Reference Data Management: •Gather master data and reference data. •Ensure integration with the Master Data Management tool. Data Compliance: •Ensuring that data management practices comply with relevant laws, regulations, and standards, such as GDPR More ❯

designing scalable, high-performance data architectures on Azure and Databricks ? Do you thrive on solving complex data challenges, integrating modern data platforms, and defining best practices for enterprise data management? We are looking for a Data Architect to lead the design and implementation of cutting-edge data solutions in a cloud-native environment. You will play a key role … in shaping data strategy, designing high-level and low-level architectures , and ensuring the seamless integration of data management tools. If you enjoy working with big data technologies, governance frameworks, and modern analytics platforms , this role is for you! Key Responsibilities Design and architect scalable, secure, and cost-effective Azure Databricks solutions for business and analytical workloads. Translate business … into high-level and low-level solution designs , ensuring alignment with best practices. Define and implement enterprise data governance, security, and compliance strategies. Lead the integration of core data management capabilities , including: Master Data Management (MDM) solutions for single-source-of-truth data Data catalogue tools for metadata management and discovery Data governance frameworks for policy 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 ❯

integration of internal and external data sources (e.g., market prices, fundamentals, grid data, weather feeds) into centralized platforms. Deliver real-time, high-quality data to support trading decisions, risk management, and performance tracking. 2. Technical Leadership & Team Management Manage and mentor a team of data engineers, fostering technical excellence and continuous learning. Oversee code quality, architecture decisions, and … deployment practices across the team. Collaborate with the Global Head of Data to align engineering efforts with strategic priorities. Lifecycle Management : Overseeing data enrichment, update, and deletion processes, and ensuring documentation in enterprise catalogs 3. Business Collaboration Work closely with traders, quantitative analysts, and risk managers to understand data requirements and deliver fit-for-purpose solutions. Translate business needs … into technical specifications and ensure timely delivery of data products. 4. Data Quality & Governance Implement monitoring systems to ensure data accuracy, completeness, and timeliness. Support data governance initiatives, including metadata management, lineage tracking, and access controls. Ensure compliance with regulatory standards (e.g., REMIT, EMIR) and internal audit requirements. 5. Innovation & Continuous Improvement Evaluate and adopt new technologies (e.g. More ❯

and build CI/CD pipelines using Azure DevOps to automate deployment and monitoring of data solutions to all environments. Provide knowledge sharing to data operations teams on release management and maintenance. Manage platform administration, ensuring optimal performance, availability, and scalability of Azure data services. Implement end-to-end data pipelines, ensuring data quality, data integrity and data security. … control (RBAC), encryption, and compliance with industry standards. Collaborate with data scientists, analysts, and business stakeholders to deliver high-quality data solutions. Monitor and optimize Databricks performance, including cost management guidance and cluster tuning. Stay up to date with Azure cloud innovations and recommend improvements to existing architectures. Assist data analysts with technical input. You may also be required … managing large-scale data solutions on Microsoft Azure. Unity Catalog Mastery: In-depth knowledge of setting up, configuring, and utilizing Unity Catalog for robust data governance, access control, and metadata management in a Databricks environment. Databricks Proficiency: Demonstrated ability to optimize and tune Databricks notebooks and workflows to maximize performance and efficiency. Experience with performance troubleshooting and best More ❯

and build CI/CD pipelines using Azure DevOps to automate deployment and monitoring of data solutions to all environments. Provide knowledge sharing to data operations teams on release management and maintenance. Manage platform administration, ensuring optimal performance, availability, and scalability of Azure data services. Implement end-to-end data pipelines, ensuring data quality, data integrity and data security. … control (RBAC), encryption, and compliance with industry standards. Collaborate with data scientists, analysts, and business stakeholders to deliver high-quality data solutions. Monitor and optimize Databricks performance, including cost management guidance and cluster tuning. Stay up to date with Azure cloud innovations and recommend improvements to existing architectures. Assist data analysts with technical input. You may also be required … managing large-scale data solutions on Microsoft Azure. Unity Catalog Mastery: In-depth knowledge of setting up, configuring, and utilizing Unity Catalog for robust data governance, access control, and metadata management in a Databricks environment. Databricks Proficiency: Demonstrated ability to optimize and tune Databricks notebooks and workflows to maximize performance and efficiency. Experience with performance troubleshooting and best More ❯

responsible for managing company-wide data governance activities. Head of DG is responsible fordeveloping and implementing data governance policies, monitoring adherence to data standards, and providing guidance on data management practices. This role involves ensuring data quality, consistency, and security across entire organization. Understanding the Business Value of Data Governance: Demonstrating how data governance enhances data quality and supports … Key Responsibilities: Strategic Leadership: Develop and execute a comprehensive data governance strategy that aligns with the organization's goals and regulatory requirements. Policy Development: Provide guidance on data lifecycle management, data contract, data privacy, and data security. Establish and enforce data governance policies, standards, and procedures to ensure data quality, security, and compliance. Data Quality Management: Oversee data … data privacy and protection regulations such as SOX and GDPR by implementing robust data governance frameworks. Data Communities: Lead the data stewardship program, assigning roles and responsibilities for data management across the organization. Training and Awareness: Develop and deliver training programs to educate employees on data governance policies, procedures, and best practices. Performance Monitoring: Implement metrics and reporting mechanisms More ❯

Location: London, United Kingdom (Flexible hybrid working) Employment Type: Permanent Summary of the role: The Data Solutions Architect at EXL plays a strategic, client-facing role within our Data Management practice. This is a technical leadership position , focused on GCP , where you partner closely with senior stakeholders to modernise their data platforms, drive value from data, and accelerate cloud … Design and build robust data pipelines with Cloud Composer, Dataproc, Dataflow, Informatica, or IBM DataStage, supporting both batch and streaming data ingestion. Data Governance & Quality: Implement data governance frameworks, metadata management, and data quality controls using Unity Catalog, Profisee, Alation, DQ Pro, or similar platforms. Client Engagement & Advisory: Act as a trusted advisor to clients senior leadership (CDOs More ❯

life cycle. This includes complying with the data strategy and providing oversight and advice to other data architects who are undertaking the design of data models and supporting the management of metadata. The Senior Data Architect also provides guidance to other architects (such as Enterprise Architects and Solutions Architects) to make sure that organisation's systems are designed in … a Senior Data Architect, you will play a critical role in leading data architecture contributions to enable and standardise approaches to indexing data in the ONS, designing data and metadata standards for ONS outputs to enable our Content Management System and strategic API to serve the user needs, and supporting the design and delivery of the Enterprise Metadata Management Data Model capability. Responsibilities include, but are not limited to: Work across stakeholders, including data linkage experts to ensure data architecture plays a key role in the design of ONS indexing. Lead on data architecture contributions to support the design and development of the ONS Content Management System and API. Contribute to the design and delivery More ❯

meetings 2. Data Governance & Quality: Establish and enforce data governance policies, standards, and procedures Define data quality rules and implement processes for data validation and cleansing Design and implement metadata management strategies Architect secure data storage, access controls, and data privacy measures Develop and implement Master Data Management (MDM) strategies Partner closely with the Enterprise Architect, Integration … Airflow, Talend, Informatica) Advanced SQL skills and deep knowledge of various database technologies (relational, columnar, NoSQL) Practical experience in establishing data governance frameworks, data quality initiatives, and Master Data Management solutions Understanding of data requirements for machine learning, including feature stores, data versioning, and MLOps principles Familiarity with common retail data domains (e.g., customer, sales, inventory, product, supply chain More ❯

meetings 2. Data Governance & Quality: Establish and enforce data governance policies, standards, and procedures Define data quality rules and implement processes for data validation and cleansing Design and implement metadata management strategies Architect secure data storage, access controls, and data privacy measures Develop and implement Master Data Management (MDM) strategies Partner closely with the Enterprise Architect, Integration … Airflow, Talend, Informatica) Advanced SQL skills and deep knowledge of various database technologies (relational, columnar, NoSQL) Practical experience in establishing data governance frameworks, data quality initiatives, and Master Data Management solutions Understanding of data requirements for machine learning, including feature stores, data versioning, and MLOps principles Familiarity with common retail data domains (e.g., customer, sales, inventory, product, supply chain More ❯

solution architects, and data product teams to gather requirements and design solutions. Provide guidance on data integration, transformation, and migration strategies. Establish and maintain enterprise data models, data dictionaries, metadata repositories, and data lineage documentation. Ensure data models comply with organisational policies and regulatory requirements. Optimise data products and their components for performance, scalability, and reliability. Evaluate and recommend … warehouse design, ETL/ELT processes, and big data technologies (e.g., Snowflake, Spark). Familiarity with data governance and compliance frameworks (e.g., GDPR, HIPAA). Strong communication and stakeholder management skills. Analytical mindset with attention to detail. Ability to lead and mentor teams on best practices in data modellin Preferred Skills and Qualifications Certifications in data modelling, cloud platforms … modelling. Experience with CI/CD GITHUB Actions (or similar) Knowledge of Snowflake/SQL Knowledge of Apache Airflow Knowledge of DBT Familiarity with Atlan for data catalog and metadata management Understanding of iceberg tables Who we are: Were a business with a global reach that empowers local teams, and we undertake hugely exciting work that is genuinely More ❯

that any area within the firm working for or on behalf of Walkers follows these. As part of this, the role holder will be responsible for embedding data quality, metadata and compliance requirements into reference architecture and associated standards, patterns and principles. Expected to be a key decision maker within Walkers' data governance board, the role holder will work … assurance and low-level/detailed design guidance. Architect data-orientated solutions across multi-cloud and on-prem environments. This would include solutions for data lake-houses, master data management and metadata management. Design and maintain enterprise data models (conceptual, logical and physical) across transactional, analytical and operational systems. Establish reference architecture for data ingestion, transformation, storage and … and technology selections. Collaborate with data stewards and compliance teams to ensure adherence to regulatory standards (e.g., GDPR). This would also include providing guidance/advice on information management best practices. Continual research on data technology, management and working practices to remain abreast of developments in across the IT industry in multiple verticals and not just Legal. More ❯

APIs, and machine learning models in coordination with DevOps teams. Define and embed best practices for data warehousing and Lakehouse architecture (e.g. Medallion). Standardise data development, modelling, and metadata management across the enterprise. Implement lineage tracking and orchestration tools to improve transparency and governance. Conduct code reviews, testing, and documentation to ensure quality and robustness of analytics … outputs. Take ownership of incident resolution and lead root cause analysis to ensure sustainable remediation. Enforce best practices for change control, release management, rollback planning, and deployment testing. Maintain high levels of internal client satisfaction by ensuring deliverables meet service level expectations. Ensure audit readiness through documentation, access control, and data lineage practices in line with regulatory standards. Manage … and technology partners providing analytics tools or support services. Undertake additional responsibilities as required to support the broader data strategy. Skills, Knowledge & Abilities Essential: Strong understanding of enterprise data management and governance principles. Proven experience delivering Business Intelligence (BI) solutions and dashboards to enable data-driven decisions. Experience designing relational and dimensional data models (e.g. star schema, snowflake, etc. More ❯

collaborate with and influence C-level stakeholders. NICE TO HAVE: Enterprise data architecture using TOGAF and ArchiMate. Design and establish a federated governance framework, including standards for data modeling, metadata management, and data product registration. Architect enterprise-scale data platforms on Snowflake and Databricks , with a focus on API-first, event-driven, and domain-driven design patterns. #DataArchitect More ❯

Governance and Quality Assurance: Embed governance, security, and data quality practices into engineering workflows. Define guardrails and reference implementations for data access control, data lineage, and compliance. Promote consistent metadata management and enforce technical standards to ensure trust in data assets. Stakeholder Engagement: Collaborate with PN D&A leadership, PN product owners, and segment D&A leadership to More ❯

transformation. Data Strategy Define and lead enterprise-wide data strategy Design and maintain a scalable, secure data architecture Deep understanding of Data Governance Modern data platforms: Cloud Data Quality Management, metadata, lineage, and data modelling Experience with Data integration, master data management (MDM), and designing scalable data pipelines Data Privacy, regulatory compliance, and security best practices BI More ❯

Leadership Data Strategy Define and lead enterprise wide data strategy Design and maintain a scalable, secure data architecture Deep understanding of Data Governance, Modern data platforms: Cloud Data quality Management, metadata, lineage and data modelling Experience with Data integration, master data management (MDM) and designing scalable data pipelines Data Privacy, regulatory compliance, and security best practises BI More ❯

Leadership Data Strategy Define and lead enterprise wide data strategy Design and maintain a scalable, secure data architecture Deep understanding of Data Governance, Modern data platforms: Cloud Data quality Management, metadata, lineage and data modelling Experience with Data integration, master data management (MDM) and designing scalable data pipelines Data Privacy, regulatory compliance, and security best practises BI More ❯

data from SAP (e.g., S/4HANA, BW/4HANA) and non-SAP sources (e.g., cloud platforms, APIs, third-party systems). Establish and enforce data governance policies including metadata management, data lineage tracking, and access control to ensure data integrity and compliance. Optimize data pipelines and transformation logic using SAP Datasphere's capabilities to support real-time … validation of products and services under Reporting and Analytics tower, including documentation/knowledge from external teams that will touch those services and products. Support product managers on lifecycle management for products and services considering business priorities, budget, current versions and risks. Responsible for the delivery of an Agile/DevSecOps Mindset across their portfolio including transformational initiatives. Your … Profile Essential Skills/Knowledge/Experience (Up to 10, Avoid repetition): 10+ years of experience in the SAP/Data Management ecosystem, with at least 3 years in SAP Datasphere. Strong understanding of cloud data architecture and analytics best practices. Proficiency in SAP Data Services, SAP HANA, SAP BW, Datasphere, and SAP Analytics Cloud. Experience in SAP Cloud More ❯

discovery, evaluating source systems and APIs, and creating stories for implementation Collaborate with third parties to ensure interoperability and integration compatibility Champion best practices in warehousing techniques (e.g. Kimball), metadata management, and performance optimisation Support delivery through integration testing, reconciliation, and reporting visualisation (e.g. Power BI, Tableau) About You: Proven experience designing data architectures for large-scale platforms More ❯