26 to 50 of 365 Metadata Jobs in England

with evolving data governance standards. Key Responsibilities Architect Scalable Data Solutions: Design and implement efficient data models and database architectures to support current and future business needs. Develop Documentation & Metadata Standards: Maintain clear and up-to-date architectural documentation, including metadata definitions and data lineage diagrams. Establish Data Standards & Best Practices: Define and enforce data architecture principles, governance policies, and … Azure-based machine learning workflows and Databricks on Azure Designing and optimizing data lakes, warehouses, and pipelines Experience implementing data governance, security standards, and compliance practices. Strong understanding of metadata management, data lineage, and data quality frameworks. Preferred Skills & Knowledge: Familiarity with big data technologies such as Hadoop, Spark, or Kafka Excellent communication skills with the ability to explain complex 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 ❯

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 ❯

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 ❯

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 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 ❯

across the organization. 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 and primary deliverables Define and enforce enterprise data architecture principles, policies, and standards in collaboration with the Head of Data. Develop and maintain … 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 ❯

across the organization. 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 and primary deliverables Define and enforce enterprise data architecture principles, policies, and standards in collaboration with the Head of Data. Develop and maintain … 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 ❯

with project managers and stakeholders, translating technical concepts for non-technical audiences. Run client advisory sessions and online enablement workshops focused on modern data tools, including Power BI and metadata-driven solutions. Provide guidance and mentoring to junior team members on project delivery standards and best practices. Data Engineering & Infrastructure: Develop and maintain scalable data pipelines and integration solutions using … modern cloud technologies. Identify opportunities for reuse of data flows across projects and teams. Ensure data quality, integrity, and performance optimisation throughout the data lifecycle. Design and manage metadata repositories, supporting metadata-driven ETL frameworks. Systems Integration: Ensure seamless integration between multiple data platforms and business systems. Troubleshoot and resolve data flow and system issues, collaborating closely with technical and 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 ❯

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 ❯

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 ❯

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 ❯

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. Drives the data definition, governance and lineage aspects 'end to end' for each Use Case assigned Responsible for monitoring changes to business data requirements and … the Financing of Terrorism (AML/CFT) space. Knowledge of the Sanctions, Transaction Monitoring, and Fraud framework, requirements and processes. 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 ❯

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. Drives the data definition, governance and lineage aspects 'end to end' for each Use Case assigned Responsible for monitoring changes to business data requirements and … the Financing of Terrorism (AML/CFT) space. Knowledge of the Sanctions, Transaction Monitoring, and Fraud framework, requirements and processes. 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 ❯

of data warehousing, data lakes, and enterprise data architecture. Proficiency in SQL and experience working with cloud data platforms (e.g., Azure, AWS, GCP). Familiarity with data governance frameworks, metadata management, and data cataloging tools. Excellent communication and documentation skills, with the ability to explain complex data concepts to non-technical stakeholders. Preferred Skills: Experience with insurance platforms such as More ❯

and cleansing activities to support accurate keying and linking. Partner with IT and business teams to ensure governance and stewardship policies are upheld across data platforms. Develop and maintain metadata and data lineage for all keying and linking components. Evaluate and recommend tools and technologies for probabilistic and deterministic matching (e.g., Informatica MDM, IBM InfoSphere, Talend, AWS Entity Resolution). More ❯

and cleansing activities to support accurate keying and linking. Partner with IT and business teams to ensure governance and stewardship policies are upheld across data platforms. Develop and maintain metadata and data lineage for all keying and linking components. Evaluate and recommend tools and technologies for probabilistic and deterministic matching (e.g., Informatica MDM, IBM InfoSphere, Talend, AWS Entity Resolution). More ❯

hybrid data storage models for unified access and processing. Data Governance & Stewardship: Implement robust data governance , access control , and stewardship policies aligned with compliance and security best practices. Establish metadata management, data lineage, and auditability across pipelines and environments. Machine Learning & Advanced Analytics Enablement: Collaborate with data scientists to prepare and serve features for ML models. Maintain awareness of ML More ❯

hybrid data storage models for unified access and processing. Data Governance & Stewardship: Implement robust data governance , access control , and stewardship policies aligned with compliance and security best practices. Establish metadata management, data lineage, and auditability across pipelines and environments. Machine Learning & Advanced Analytics Enablement: Collaborate with data scientists to prepare and serve features for ML models. Maintain awareness of ML More ❯