26 to 50 of 437 Metadata Jobs in the UK

aligned with business priorities and regulatory frameworks. Lead architecture for enterprise data platforms such as Azure Synapse, Databricks, Power BI, and Informatica. Establish enterprise-wide standards for master data, metadata, lineage, and data stewardship. Collaborate with business and domain architects to identify and support key data domains. Provide architectural oversight for major initiatives in data ingestion, transformation, and analytics. Define … focus on data, information, or analytics. Proven hands-on expertise with data platforms such as Azure Data Lake, Synapse, Databricks, Power BI, etc. Deep knowledge of data governance, MDM, metadata management, and data quality frameworks. Understanding of data protection and privacy regulations (e.g., GDPR, CCPA). Track record of developing and executing enterprise data strategies at scale. Strong communication, stakeholder 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 synchronize and 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 synchronize and More ❯

or other people’s ideas. A focus on continuous improvement. Desirable: Experience with regulatory reporting frameworks (e.g., BCBS 239, Basel III, MiFID II, FRTB). Familiarity with data lineage, metadata management, and data quality tools. Certifications in Agile, PMP, or BI platforms. Experience working with global teams in a matrixed environment. Bachelor's or Master's degree in Computer Science 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 ❯

or other people’s ideas. A focus on continuous improvement. Desirable: Experience with regulatory reporting frameworks (e.g., BCBS 239, Basel III, MiFID II, FRTB). Familiarity with data lineage, metadata management, and data quality tools. Certifications in Agile, PMP, or BI platforms. Experience working with global teams in a matrixed environment. Bachelor's or Master's degree in Computer Science More ❯

or other people's ideas. A focus on continuous improvement. Desirable: Experience with regulatory reporting frameworks (e.g., BCBS 239, Basel III, MiFID II, FRTB). Familiarity with data lineage, metadata management, and data quality tools. Certifications in Agile, PMP, or BI platforms. Experience working with global teams in a matrixed environment. Bachelor's or Master's degree in Computer Science More ❯

and propose optimized solutions. Collaborate with technical teams to ensure that any changes align with system capabilities and scalability needs, especially in areas like manuscript submission, peer review, and metadata management. Customer Communication & Expectations Management: Serve as the key point of contact for customers regarding change requests, ensuring continuous communication throughout the process. Set clear expectations with customers about timelines More ❯

Data Engineer Bond street 70k ROLE OBJECTIVE This role requires a strong understanding of data architecture, data modelling, and performance optimisation. The role will contribute significantly to the company’s success. There are opportunities for professional development, such as training More ❯

Data Engineer Bond street 50-70k ROLE OBJECTIVE This role requires a strong understanding of data architecture, data modelling, and performance optimisation. The role will contribute significantly to the company's success. There are opportunities for professional development, such More ❯

Data Engineer Bond street 50-70k ROLE OBJECTIVE This role requires a strong understanding of data architecture, data modelling, and performance optimisation. The role will contribute significantly to the company's success. There are opportunities for professional development, such More ❯

a robust and compliant data environment. Key Responsibilities Conduct in-depth data analysis to support governance, quality, and risk assessment across Risk and Finance data assets. Manage data definitions, metadata, and lineage for high-priority data use cases, ensuring consistency and transparency. Collaborate with stakeholders to align business needs with regulatory requirements and data governance frameworks. Investigate and analyse data … within Risk and Finance functions. Demonstrated ability to interpret complex data sets and develop meaningful insights to inform governance decisions. Expertise in enterprise data management, including data modelling and metadata management. Strong stakeholder engagement and influencing skills, with experience working with senior executives. Proficiency in Excel, Visio, and PowerPoint, with experience in business process and data flow modelling. Ability to More ❯

a robust and compliant data environment. Key Responsibilities Conduct in-depth data analysis to support governance, quality, and risk assessment across Risk and Finance data assets. Manage data definitions, metadata, and lineage for high-priority data use cases, ensuring consistency and transparency. Collaborate with stakeholders to align business needs with regulatory requirements and data governance frameworks. Investigate and analyse data … within Risk and Finance functions. Demonstrated ability to interpret complex data sets and develop meaningful insights to inform governance decisions. Expertise in enterprise data management, including data modelling and metadata management. Strong stakeholder engagement and influencing skills, with experience working with senior executives. Proficiency in Excel, Visio, and PowerPoint, with experience in business process and data flow modelling. Ability to More ❯

support governance, quality, and risk assessment across Risk and Finance data assets. Lead the implementation of data governance initiatives aligned with BCBS239 and enterprise-wide standards. Manage data definitions, metadata, and lineage for high-priority data use cases, ensuring consistency and transparency. Collaborate with stakeholders to align business needs with regulatory requirements and data governance frameworks. Investigate and analyse data … processes and Operational Risk management. Demonstrated ability to interpret complex data sets and develop meaningful insights to inform governance decisions. Expertise in enterprise data management, including data modelling and metadata management. Strong stakeholder engagement and influencing skills, with experience working with senior executives. Proficiency in Excel, Visio, and PowerPoint, with experience in business process and data flow modelling. Ability to More ❯

across the organisation. The ideal candidate will have strong expertise in data architecture, data modelling, and data governance, with hands-on experience in Azure Databricks and Unity Catalog for metadata management and scalable data & analytics. Key responsibilities Define and enforce enterprise data architecture principles, policies, and standards in collaboration with the Head of Data. Develop and maintain current (as-is … alignment with business needs. Design and document conceptual, logical, and physical data models, optimizing for Azure Databricks Lakehouse implementation and Unity Catalog integration. Implement and manage data cataloguing and metadata governance using Unity Catalog to contextualise data and ensure data discoverability, lineage, and compliance. Support Head of Data to define data access, security, and sharing policies for the enterprise and … lakehouses, master/reference data models). Hands-on experience with Azure Databricks, including: Workspace and cluster configuration. Delta Lake table design and optimization. Integration with Unity Catalog for metadata management. Proficiency with Unity Catalog, including: Setting up data lineage and governance policies. Managing access controls and data sharing. Strong knowledge of data modelling tools (e.g., Erwin, PowerDesigner, SQL DBML More ❯

customer-facing products. Key Responsibilities Lead the architecture and design of robust, scalable data solutions in a modern Azure environment Drive the development of logical and conceptual data models, metadata frameworks, and architecture roadmaps Support and influence the entire data lifecycle—from ingestion and transformation to analytics and product delivery Collaborate closely with the CDO and engineering team to define … Experience as a Data Architect or Lead Data Engineer in a modern cloud environment Hands-on knowledge of Azure data services and strong SQL skills Extensive experience in designing metadata-driven pipelines and data warehouse architectures Comfortable defining “as-is” and “to-be” states across data ecosystems Strong communication skills with the ability to liaise across technical and business teams More ❯

customer-facing products. Key Responsibilities Lead the architecture and design of robust, scalable data solutions in a modern Azure environment Drive the development of logical and conceptual data models, metadata frameworks, and architecture roadmaps Support and influence the entire data lifecycle—from ingestion and transformation to analytics and product delivery Collaborate closely with the CDO and engineering team to define … Experience as a Data Architect or Lead Data Engineer in a modern cloud environment Hands-on knowledge of Azure data services and strong SQL skills Extensive experience in designing metadata-driven pipelines and data warehouse architectures Comfortable defining “as-is” and “to-be” states across data ecosystems Strong communication skills with the ability to liaise across technical and business teams More ❯

in their data career within a consulting environment. Key Responsibilities Support Data Governance & Strategy Projects: Assist in the development and rollout of data governance models, data ethics frameworks, and metadata strategies tailored to client needs. Enhance Data Quality & Processes: Help clients improve the accuracy, consistency, and reliability of their data through practical quality initiatives and tooling recommendations. Assessment & Analysis: Participate … management, data strategy, or information governance - ideally in a consulting, advisory, or client-facing environment. Working knowledge of key data management concepts, including data quality, data lineage, cataloguing, and metadata management. Exposure to enterprise data tools such as Informatica, Collibra, or similar platforms is a plus. Strong communication skills and the ability to clearly explain technical concepts to non-technical More ❯

have an ethos of openness and transparency that will help us nurture real business innovation. Accountabilities & Responsibilities: Strong knowledge and expertise in the use of data governance, data quality, metadata, profiling, analysis, and data management tools. Support and implement the clients Data Governance Framework across all identified Transactional Data Use Cases/Projects. Drives the data definition, governance and lineage … sponsors and key stakeholders Knowledge, Skills & Experience: Essential: Working knowledge of Transactional Data types and Products provided by the Bank. Working knowledge and understanding of data governance, data quality, metadata, profiling, analysis, and data management tools. Analytically minded with experience in problem solving and being able to communicate workable solutions Understanding of data governance practices. Ability to think in an More ❯

have an ethos of openness and transparency that will help us nurture real business innovation. Accountabilities & Responsibilities: Strong knowledge and expertise in the use of data governance, data quality, metadata, profiling, analysis, and data management tools. Support and implement the clients Data Governance Framework across all identified Transactional Data Use Cases/Projects. Drives the data definition, governance and lineage … sponsors and key stakeholders Knowledge, Skills & Experience: Essential: Working knowledge of Transactional Data types and Products provided by the Bank. Working knowledge and understanding of data governance, data quality, metadata, profiling, analysis, and data management tools. Analytically minded with experience in problem solving and being able to communicate workable solutions Understanding of data governance practices. Ability to think in an More ❯

initiatives, ensuring compliance with organizational policies and regulatory standards. Governance Framework Development: Develop and maintain a comprehensive data and records governance framework aligned with regulatory requirements and industry standards. Metadata Management: Manage and maintain metadata to enhance data discoverability, consistency and accuracy Data Quality Assurance: Conduct data validation and data quality checks to ensure accuracy, completeness, and adherence to governance … to life the outcomes rather than just the steps to achieve them. Technical and Analytical Skills: Knowledge of data governance frameworks and best practices, including data stewardship, data lineage, metadata management, and compliance with regulatory requirements. Experience in implementing and maintaining data governance policies and procedures. Proficiency in using data management and governance tools such as Informatica, Collibra, or Talend. More ❯

initiatives, ensuring compliance with organizational policies and regulatory standards. Governance Framework Development: Develop and maintain a comprehensive data and records governance framework aligned with regulatory requirements and industry standards. Metadata Management: Manage and maintain metadata to enhance data discoverability, consistency and accuracy Data Quality Assurance: Conduct data validation and data quality checks to ensure accuracy, completeness, and adherence to governance … to life the outcomes rather than just the steps to achieve them. Technical and Analytical Skills: Knowledge of data governance frameworks and best practices, including data stewardship, data lineage, metadata management, and compliance with regulatory requirements. Experience in implementing and maintaining data governance policies and procedures. Proficiency in using data management and governance tools such as Informatica, Collibra, or Talend. More ❯

initiatives, ensuring compliance with organizational policies and regulatory standards. Governance Framework Development: Develop and maintain a comprehensive data and records governance framework aligned with regulatory requirements and industry standards. Metadata Management: Manage and maintain metadata to enhance data discoverability, consistency and accuracy Data Quality Assurance: Conduct data validation and data quality checks to ensure accuracy, completeness, and adherence to governance … to life the outcomes rather than just the steps to achieve them. Technical and Analytical Skills: Knowledge of data governance frameworks and best practices, including data stewardship, data lineage, metadata management, and compliance with regulatory requirements. Experience in implementing and maintaining data governance policies and procedures. Proficiency in using data management and governance tools such as Informatica, Collibra, or Talend. More ❯

or Dimensional methodologies • Utilize SQL and Python languages to extract, transform, and load data from various sources into Azure Databricks and Azure SQL/SQL Server. • Design and implement metadata driven pipelines to automate data processing tasks. • Collaborate with cross-functional teams to understand data requirements and implement appropriate solutions. • Ensure data quality, integrity, and security throughout the data pipeline. … Azure SQL/SQL Server. • Proficiency in SQL and Python languages. • Hands-on experience in designing and building data pipelines using Azure Data Factory (ADF). • Familiarity with building metadata driven pipelines. • Knowledge of Azure Storage, Medallion Architecture, and working with data formats such as JSON, CSV, and Parquet. • Strong understanding of IT concepts, including security, IAM, Key Vault, and More ❯

years, and is expected to grow further over the next 2-3 years. Accountabilities and Responsibilities Solid knowledge and expertise in the use of data governance, data quality, metadata, profiling, analysis, and data management tools. Support the Compliance Data Domain Lead in the planning and execution of the Data Governance Framework across all prioritised KDUs. Drive the data definition, governance … earn the trust of sponsors and key stakeholders Skills and Experience Essential: Knowledge of Banking Compliance functions and delivery expectations. Working knowledge and understanding of data governance, data quality, metadata, profiling, analysis, and data management tools. Analytically minded with experience in problem solving and being able to communicate workable solutions Understanding of data governance practices. Ability to think in an More ❯