1 to 25 of 94 Permanent Metadata Jobs in England

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 ...

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 ...

5+ years in data architecture or related fields. Deep knowledge of modern data architecture, cloud platforms (Azure, AWS, Databricks), ETL/ELT. Experience with metadata management, AI/Machine Learning integration. Strong communication and stakeholder engagement skills. Understanding of information security, privacy, and compliance regulations. Hybrid position in the City ...

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 ...

post‐migration stabilisation Data Governance & Purview Adoption Drive enterprise-wide data governance strategy execution using Microsoft Purview Lead implementation of data cataloguing and metadata management, data classification & sensitivity labelling, lineage, data discovery, and business glossary Establish access policies and compliance controls Partner with data owners and stewards to operationalise governance ...

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 ...

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. ...

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. ...

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 ...

physical data models for operational, analytical, and AI use cases Providing architectural oversight and design assurance across delivery teams Supporting data governance, lineage, metadata management and data quality initiatives Contributing to long-term architecture roadmaps and investment planning This is an excellent opportunity to join an organisation undergoing significant data ...

Formation, Redshift and Athena. Enable AI and machine learning capabilities through governed, feature-ready datasets and integration with AWS AI services. Lead platform governance, metadata management, lineage and data quality initiatives. Define AWS multi-account operating models, landing zones, security guardrails and environment strategies. Drive platform performance, scalability, resilience ...

Search, Azure Functions, Azure SQL, Cosmos DB, AKS, storage services and related platform components. Contribute to AI and RAG features, including document ingestion, metadata enrichment, retrieval workflows, grounding, reasoning flows, template generation and agent orchestration. Support Microsoft Fabric and data engineering work where required, including Lakehouse patterns, pipelines, structured data ...

infrastructure projects. • Experience with data visualisation tools (e.g. Power BI) or data analysis techniques is a plus. • Understanding of data governance, data quality, or metadata management is advantageous. ...

financial services customer, building deep relationships with key stakeholders (e.g., CTOs, CDOs, Data Architects). Design and implement data governance frameworks, including data lineage, metadata management, access controls, and compliance with industry regulations (e.g., GDPR, CCPA, BCBS 239). Develop and advocate strategies for federating data responsibility across different business ...

capabilities and solutions. Demonstrated experience in data curation, data quality management, and data governance, including data validation and reconciliation processes, data lineage, metadata management, access controls, and documentation standards. Ideally, experience of integrating data and reporting workflows into CI/CD pipelines with automated testing frameworks, alongside working knowledge ...

Title : Data Governance Analyst – Metadata Target Start Date: ASAP Contract Type: Permanent, Full Time, Salary Range: CompetitiveEastleigh, Hybrid working with travel to Ageas offices when required. Closing Date for applications: Friday 3rd July Data Governance Analyst – Metadata: At Ageas, we are continuing to build a strong data-driven culture … looking for a Data Governance Analyst – Metadata to join our growing Data Governance team. This role sits within our metadata pillar, where you will help deliver and evolve metadata services that enable trusted, well-managed and discoverable data and AI products across the organisation. This is a fantastic opportunity ...

managed effectively. The Role You will work closely with business and technology stakeholders to deliver key data management capabilities, including data governance, data quality, metadata management, and data lineage . You'll play a key role in shaping data strategies, defining controls, and supporting the delivery of enterprise-wide data ...