1 to 25 of 89 Remote Metadata Jobs in London

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 practices for More ❯

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 practices for More ❯

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, CIOs, Heads More ❯

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, CIOs, Heads More ❯

covering modelling, database strategy, data flows, and integration patterns. Guide data governance, retention, and compliance practices (e.g., GDPR, ISO standards). Technical Design & Development Oversight Define storage, publishing, and metadata strategies to support analytics and operational goals. Shape database schemas, data warehouse strategies, and ensure data platforms are fit-for-purpose. Work with business analysts, engineers, delivery leads, and client More ❯

covering modelling, database strategy, data flows, and integration patterns. Guide data governance, retention, and compliance practices (e.g., GDPR, ISO standards). Technical Design & Development Oversight Define storage, publishing, and metadata strategies to support analytics and operational goals. Shape database schemas, data warehouse strategies, and ensure data platforms are fit-for-purpose. Work with business analysts, engineers, delivery leads, and client More ❯

conceptual, logical and physical data models to provide structured view of data domains, entities, and their relationships. Data Documentation: Create and update data dictionaries, entity-relationship diagrams (ERDs), and metadata to ensure clarity and consistency. Stakeholder Collaboration: Collaborate closely with business stakeholders to understand data requirements and translate them into structured data models that meet business needs. Data Governance Alignment More ❯

regulatory reporting. Build both real-time and batch data pipelines to support fast, data-driven decision-making. Model enterprise data structures and ensure alignment across systems and teams. Document metadata, lineage, and ownership to support compliance and transparency. Collaborate closely with Data Engineers , Software Developers , and Business Stakeholders to align technical solutions with commercial needs. Establish clear data quality metrics More ❯

regulatory reporting. Build both real-time and batch data pipelines to support fast, data-driven decision-making. Model enterprise data structures and ensure alignment across systems and teams. Document metadata, lineage, and ownership to support compliance and transparency. Collaborate closely with Data Engineers , Software Developers , and Business Stakeholders to align technical solutions with commercial needs. Establish clear data quality metrics More ❯

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 enforcement, compliance, and lineage tracking Data quality solutions to ensure data accuracy, consistency, and reliability Provide architectural leadership on hub-and-spoke More ❯

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 enforcement, compliance, and lineage tracking Data quality solutions to ensure data accuracy, consistency, and reliability Provide architectural leadership on hub-and-spoke More ❯

Home Office systems, enabling secure, data-driven services that keep the country safe. Working under the vision set by the Principal Data Architect, you'll design robust data models, metadata systems, and governance frameworks to serve diverse stakeholders. Your leadership will span strategic planning, mentoring junior data architects, and aligning technical decisions with business objectives. If you thrive on architecting … will evaluate existing platforms, identify gaps, and recommend optimisations whether via cloud-native services, large-scale distributed data platforms, or modern data warehouses. You'll oversee how data catalogues, metadata systems, and governance frameworks are implemented, championing best practices across multiple programs. By leading data design reviews, you'll ensure alignment with department-wide standards, while also balancing performance, scalability … will help streamline Home Office workflows, promote consistent data usage, and foster innovative ways to harness critical data at scale. Person specification Key responsibilities Design and maintain data models, metadata systems, and data flows that align with the overarching data strategy. Advise and guide data professionals on implementing best practices for data modelling, governance, and metadata management. Collaborate with Technical More ❯

activities and track milestones. Enable departments to clearly define Key Metrics and challenge existing metric interpretations. Establish and maintain a comprehensive Catalogue of Key Data Outputs, ensuring all required metadata is captured. Ensure compliance with regulatory requirements, including BCBS239, and adhere to industry best practices for reporting and analytics. Facilitate stakeholder meetings at all levels to gather and document business More ❯

activities and track milestones. Enable departments to clearly define Key Metrics and challenge existing metric interpretations. Establish and maintain a comprehensive Catalogue of Key Data Outputs, ensuring all required metadata is captured. Ensure compliance with regulatory requirements, including BCBS239, and adhere to industry best practices for reporting and analytics. Facilitate stakeholder meetings at all levels to gather and document business More ❯

spotting opportunities to reduce complexity and cost. Help define and manage best practices for our Data Warehouse. This may include payload design of source data, logical data modelling, implementation, metadata and testing standards. Set standards and ways of working with data across Monzo, working collaboratively with others to make it happen. Take established best practices and standards defined by the More ❯

criteria of the effort Analyze data lineage documentation and support the creation of data and system flow documentation and process maps Support the updates for key data capabilities including metadata repositories, data dictionaries, data lineage, business process maps, and training materials with the data and system process flows Partner with business data owners required to ensure maintenance of key artifacts More ❯

data owners and curating stewardship roles across the enterprise Champion data literacy initiatives and promote a culture of accountability around data across the organisation Design and implement processes for metadata management, data lineage tracking, and data lifecycle management Provide hands-on configuration and support of Purview (or similar tools), including metadata scanning, asset classification, glossary management, and access control Ensure … and deploy Microsoft Purview in enterprise environments, including integration with other Microsoft data services Policy & Framework Development: Experience authoring and implementing data policies, stewardship models, and governance operating models Metadata & Lineage Management: Strong knowledge of metadata standards, data cataloguing practices, and lineage documentation Stakeholder Engagement: Demonstrated ability to work across business and technical stakeholders, driving consensus and adoption of governance … with other cataloguing tools like Collibra, Informatica, or Alation is a plusFamiliarity with Microsoft Azure data services (e.g. Data Factory, Synapse, Data Lake, etc.) Understanding of modern data architectures, metadata management, and data classification standards Excellent communication and facilitation skills; capable of leading workshops and engaging stakeholders at all levels Experience working in agile, multi-vendor delivery environments Role is More ❯

compliance, business intelligence, sharing with applications and organisations Understand industry-recognised data modelling patterns and standards, and when to apply them. Compare and align different data models. Designing appropriate metadata repositories and present changes to existing metadata repositories Understand a range of tools for storing and working with metadata Designing data architecture that deals with problems spanning different business areas More ❯

user needs when designing deliverables. Experience in designing technology solutions with complex end-to-end data flows. Experience in implementing data governance, including data cataloging, data lineage tracking, and metadata management to ensure data accuracy, accessibility, and compliance. Preferred: Experience with Databricks Understanding of how data platforms interact with marketing and customer engagement platforms. Knowledge of service-oriented architecture, including More ❯

data strategies and governance Deep knowledge of contextual, logical, and physical data modelling Hands-on experience with cloud data migration and architecture (AWS, Azure, or GCP) Strong grasp of metadata management, data privacy/security frameworks, and cloud ecosystem best practices Financial services project experience preferred, with stakeholder-facing communication skills Comfortable operating across complex environments, leading multiple workstreams Preferred … data, risk/compliance platforms, or financial crime data architectures An understanding of cloud cost management, automation, and network architecture Tech Domains Cloud Platforms: AWS, Azure, GCP Data Management: Metadata tools, privacy frameworks, security architecture Modelling: ER, Contextual, Semantic, Logical/Physical Orchestration & Integration: API design, DevOps support, cloud-native workflows Why Join? Work on high-impact transformation projects with More ❯

reporting needs in collaboration with business units. Engage with stakeholders to ensure reporting solutions align with business goals. Apply Agile project management principles to deliver iterative improvements. Support ML metadata extraction and integration into reporting workflows. Use scripting languages (e.g., DAX, M, Python, PowerShell) to support data transformation and automation. Qualifications Minimum 3 years of industry experience in a BI … methodologies and tools (e.g., Jira, Azure DevOps). Excellent communication and stakeholder management skills. Ability to work both independently and collaboratively in a hybrid work environment. Experience with ML metadata extraction and scripting languages is a plus. Experience in the procurement or supply chain industry is a nice to have. Bachelor's degree in Computer Science, Information Systems, or related More ❯

and clean data layers that empower teams across the organization to make informed, data-driven decisions. This is a hands-on role that blends engineering excellence with product thinking, metadata management, and a passion for enabling self-service analytics and data literacy across the business. Key Responsibilities: Build & Maintain Scalable Data Warehousing Solutions: Design, build, and maintain robust ELT pipelines … data products Implement best practices around versioning, SLAs, data contracts, and quality validation Own the end-to-end lifecycle of key datasets, including documentation, testing, monitoring, and maintenance Use metadata, lineage, and usage metrics to ensure data products are trustworthy, discoverable, and valuable Enable Data Democratization & Self-Service: Build intuitive, well-structured data models to empower BI tools (e.g., QuickSight … in SQL and Python for data processing and automation Experience working with data modeling tools and practices (e.g., dimensional, star/snowflake schema, dbt) Solid understanding of data governance, metadata, and quality frameworks Strong collaboration and communication skills, with the ability to work cross-functionally in an Agile environment Exposure to data product management principles (SLAs, contracts, ownership models) Familiarity More ❯

reporting needs in collaboration with business units. Engage with stakeholders to ensure reporting solutions align with business goals. Apply Agile project management principles to deliver iterative improvements. Support ML metadata extraction and integration into reporting workflows. Use scripting languages (e.g., DAX, M, Python, PowerShell) to support data transformation and automation. Qualifications Minimum 3 years of industry experience in a BI … methodologies and tools (e.g., Jira, Azure DevOps). Excellent communication and stakeholder management skills. Ability to work both independently and collaboratively in a hybrid work environment. Experience with ML metadata extraction and scripting languages is a plus. Experience in the procurement or supply chain industry is a nice to have. Bachelor's degree in Computer Science, Information Systems, or related More ❯

continuous improvement in data quality, and ensuring compliance with internal and external regulatory obligations. Key Requirements Strong experience in data governance, regulatory reporting, and data quality management. Proficiency in metadata management and regulatory data documentation. Demonstrated ability to design data controls, perform data profiling, and support remediation planning. Experience building data visualisations and dashboards with Tableau Proficiency in Alteryx, SQL More ❯

continuous improvement in data quality, and ensuring compliance with internal and external regulatory obligations. Key Requirements Strong experience in data governance, regulatory reporting, and data quality management. Proficiency in metadata management and regulatory data documentation. Demonstrated ability to design data controls, perform data profiling, and support remediation planning. Experience building data visualisations and dashboards with Tableau Proficiency in Alteryx, SQL More ❯