1 to 25 of 159 Metadata Jobs in the UK

Title : Metadata Lead Target Start Date: ASAP Contract Type: Permanent, Full Time, Salary Range: Competitive Location: Eastleigh, Hybrid working with travel to Ageas offices when required. Closing Date for applications: Friday 3rd July Metadata Lead: At Ageas, we are on a mission to unlock the full value of our data … looking for an experienced Metadata Lead to play a pivotal role in making this a reality. This is a unique opportunity to take ownership of our enterprise metadata capability, shaping how data is discovered, governed and trusted across the organisation. As the Metadata Lead, you will own the vision ...

data-driven culture, including KPI definition and reporting frameworks. Take accountability for data extraction, transforming JSON and XML, and utilising strong experience in metadata management. Collaborate with data engineers to develop data, enrich product design, and integrate data for predictive models or machine learning. Deliver well-defined, transformed, tested, documented ...

distributed, global teams. Desirable Skills Experience with large-scale distributed data systems. Familiarity with machine learning pipelines and graph analytics. Understanding of data governance, metadata management, and semantic technologies. Experience working in Agile delivery environments. What We Offer Fully remote working environment. 6-month contract with potential for extension. Opportunity ...

designing enterprise ETL/ELT and data integration architectures Strong BI architecture experience (Power BI, Tableau, or equivalent) Solid understanding of data governance, security, metadata, and data quality frameworks Ability to translate complex business requirements into scalable architectures Strong consulting and stakeholder engagement experience Desirable Exposure to AI/ ...

engineer data pipelines to be scalable, robust, automatable, and repeatable Navigate, explore and query large scale datasets Build processes supporting data transformation, data structures, metadata, dependency and workload management Identify and resolve data issues including data quality, data mapping, database and application issues Implement data flows to connect operational systems ...

best practices including version control, testing, documentation, and governance Experience with Git/GitHub for collaborative development, code reviews, and release management Exposure to metadata-driven or configuration-based approaches such as YAML-based metric standardization Knowledge of Power BI and/or Microsoft Fabric, particularly for semantic modeling ...

methodologies including requirements and discovery, Agile delivery, testing, deployment, and post-production support Strong understanding of data governance and security frameworks including data quality, metadata management, lineage, user and permission management, compliance, and access controls Excellent documentation skills with the ability to create and maintain solution designs, data dictionaries, business ...

data initiatives. Data Governance Frameworks: Deep expertise in establishing and enforcing robust data governance policies, standards, and procedures (e.g., data ownership, data stewardship, metadata management, data lineage) to ensure data quality, compliance, and trustworthiness. Data Quality Management: Proficiency in implementing methodologies and tools for data profiling, cleansing, validation, and continuous ...

data initiatives. Data Governance Frameworks: Deep expertise in establishing and enforcing robust data governance policies, standards, and procedures (e.g., data ownership, data stewardship, metadata management, data lineage). Critical for ensuring data quality, compliance, and trustworthiness. Data Quality Management: Proficiency in implementing methodologies and tools for data profiling, cleansing, validation ...

Azure (Data Factory, Blob Storage, DevOps) Power BI or other BI tools CI/CD tools (dbt Cloud, GitHub Actions, pipelines) Data governance and metadata management Benefits: Hybrid and flexible working Private healthcare Pension scheme Career progression opportunities Collaborative and supportive environment Regular team events Apply Now! Cherry Professional ...

planning and adoption of emerging Microsoft Fabric capabilities. Design monitoring, disaster recovery, and business continuity strategies for critical data services. Promote effective data governance, metadata management, and catalogue standards. Mentor engineers and provide technical leadership across multiple data initiatives. Required Skills & Experience 5 years' experience in Data Engineering within cloud ...

Defining and implementing data governance frameworks, standards and operating models • Data ownership, stewardship, accountability and governance structures • Data quality frameworks, controls, metrics and monitoring • Metadata management, data lineage and data catalogue solutions • Master Data Management (MDM) • Data warehouse and data lake architecture • Data integration, ETL and ELT principles • Cloud-based ...

Studio or AWS Glue. Advanced data modelling, transformation and querying skills using languages such as SQL and Python. Experience delivering data quality, metadata management and governance solutions using tools such as Microsoft Purview, Collibra Data Catalog, Informatica IDQ or Talend Data Quality. A strong track record of leading technical teams ...

Junior Data Engineer and Analyst on modern engineering standards and secure coding practices; - Work with the Software Engineering Manager to establish naming conventions, metadata standards, and data residency/sovereignty protocols. Stakeholder Engagement & Continuous Improvement - Constructively challenge stakeholders and teams where necessary on scope and delivery to ensure deliverables remain ...

ensuring alignment with the overall business strategy and objectives. Develop and maintain the data architecture for the security master system (secmaster), including data models, metadata, and data flow diagrams. Team Leadership: Lead and manage the secmaster team of python/sql engineers, providing guidance, mentorship, and support to team members. ...

Microsoft data stack , including: Azure Data Services (Synapse, Data Factory, Azure SQL, Data Lake) Power BI (enterprise reporting, semantic models, governance) Data governance and metadata management (e.g. Purview) Experience designing or integrating solutions across AWS environments Strong understanding of data security, access controls, and information assurance Confident working with senior ...

machine learning and AI use cases Provide technical leadership across data engineering, analytics and AI delivery teams Establish best practice around security, privacy, compliance, metadata and data quality Act as a trusted advisor to senior business and technology stakeholders Support client workshops, solution development and strategic architecture assessments Required Experience ...

data models for reporting and analytics Optimise SQL queries and database performance Implement data quality checks, monitoring, lineage and observability processes Support data cataloguing, metadata management and governance practices Ensure data security through masking, anonymisation and adherence to GDPR and ISO27001-aligned standards Complete unit and integration testing to ensure ...

between business stakeholders, analytics teams, and engineering - translating commercial requirements into robust, well-reasoned architectural designs. Set the standard for data governance, data quality, metadata management, and master data management - and hold the organisation to it. Ensure all data practices meet security, privacy, and regulatory obligations, proactively identifying and mitigating ...

Power BI and DAX capabilities, including advanced measures and calculations. Experience supporting data migration, data cleansing, or data transformation initiatives. Exposure to data governance, metadata management, and master data processes. Ability to bridge the gap between technical teams and business stakeholders. A proactive approach to improving data quality, reporting processes ...

approving designs produced by others, checking for architectural alignment and recommending changes where appropriate Experience designing Azure-based customer data solutions, including storage, transformation, metadata management, orchestration, lineage, and logging Understanding of machine learning and AI applications for customer personalisation Familiarity with capabilities supported by Databricks for customer data processing ...

designs produced by others, checking for architectural alignment and recommending changes where appropriate Desirable - Experience designing Azure-based Customer data solutions, including storage, transformation, metadata management, orchestration, lineage, and logging. Understanding of Machine Learning/AI applications for Customer personalization. Familiarity with capabilities supported by Databricks for Customer data processing. ...

designs produced by others, checking for architectural alignment and recommending changes where appropriate Desirable - Experience designing Azure-based Customer data solutions, including storage, transformation, metadata management, orchestration, lineage, and logging. Understanding of Machine Learning/AI applications for Customer personalization. Familiarity with capabilities supported by Databricks for Customer data processing. ...

data quality and enrichment, focusing on the most critical data first and tracking the tangible value-add with data consumers.Ensure Compliance & Transparency: Maintain complete metadata, data descriptions, and lineage while ensuring data is correctly classified, protected, and compliant with GDPR and internal security protocols.Manage Risk & Alignment: Engage with stakeholders ...

data quality and enrichment, focusing on the most critical data first and tracking the tangible value-add with data consumers.Ensure Compliance & Transparency: Maintain complete metadata, data descriptions, and lineage while ensuring data is correctly classified, protected, and compliant with GDPR and internal security protocols.Manage Risk & Alignment: Engage with stakeholders ...