1 to 25 of 259 Metadata Jobs in the UK

Metadata Lead - HYBRID Metadata Lead This is a unique opportunity to take ownership of an enterprise metadata capability, shaping how data is discovered, governed and trusted across the organisation. As the Metadata Lead, you will own the vision and roadmap for our metadata tooling landscape, including Collibra and Unity Catalog … technical and regulatory needs into scalable, business-focused solutions while driving adoption, value realisation and continuous improvement. This is an exciting opportunity for a metadata leader ready to drive real business value through data. Main Responsibilities as Metadata Lead: Design, own and deliver the metadata roadmap. Lead Collibra and Unity ...

Continuously learn and adapt to the evolving Microsoft data platform landscape, including ADF, Microsoft Fabric, Synapse, Purview, and related best practices. Support governance and metadata management: Implement data discovery, classification, lineage, and stewardship practices using Microsoft Purview and aligned standards for trusted, auditable data products. Own security architecture for data ...

environment separation (dev/test/prod), naming standards, and guardrails that enable secure self-service while maintaining control and consistency. Support governance and metadata management: Implement data discovery, classification, lineage, and stewardship practices using AWS Glue Data Catalog, AWS Lake Formation, and aligned standards for trusted, auditable data products. ...

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 Platform Services Working knowledge of the alternative cloud platform Experience designing modern Lakehouse architectures and enterprise data platforms Strong understanding of data governance, metadata management, lineage, security, privacy, and compliance frameworks Experience developing enterprise data strategies, architecture roadmaps, and governance standards Strong stakeholder engagement, consulting, and communication skills Experience ...

same Other Skills Proficiency in developing and maintaining complex data models (conceptual, logical and physical). Strong skills in data governance and metadata management. Experience with data integration design and implementation. Ability to write efficient, maintainable code for large scale data systems. Experience with CI/CD pipelines, version control ...

with Databricks. Data Engineering & Platform Build Build and optimize large-scale ETL/ELT pipelines using PySpark, SQL, and Delta. Oversee data quality frameworks, metadata management, lineage, and monitoring. Leadership & Stakeholder Engagement Work closely with business leaders and product teams to translate requirements into robust technical solutions. Guide development teams ...

quality monitoring and alerting processes. Work with data governance teams to ensure compliance with data governance policies and standards. Implement data lineage tracking and metadata management processes. Collaboration & Communication: Collaborate closely with data scientists, economists, and other technical teams to understand data requirements and translate them into technical solutions. Communicate ...

quality monitoring and alerting processes. Work with data governance teams to ensure compliance with data governance policies and standards. Implement data lineage tracking and metadata management processes. Collaboration & Communication: Collaborate closely with data scientists, economists, and other technical teams to understand data requirements and translate them into technical solutions. Communicate ...

Data Engineering – Provide oversight on robust data pipeline and integration designs using SSIS, ADF, Informatica, or IBM DataStage. Data Governance & Quality – Define governance, metadata, and quality frameworks using tools such as Unity Catalog, Profisee, Alation, or DQ Pro. Technical Leadership – Mentor cross-functional teams and embed best practices and innovation ...

Data Engineering – Provide oversight on robust data pipeline and integration designs using SSIS, ADF, Informatica, or IBM DataStage. Data Governance & Quality – Define governance, metadata, and quality frameworks using tools such as Unity Catalog, Profisee, Alation, or DQ Pro. Technical Leadership – Mentor cross-functional teams and embed best practices and innovation ...

understand London Market business processes and translate requirements into data architecture. Define standards for data modelling, source-to-target mapping, data quality, reconciliation, metadata, lineage, and auditability. Design data governance, security, access control, and compliance frameworks for insurance data. Support cloud migration, data warehouse modernisation, reporting transformation, and legacy system ...

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 ...

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 ...

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/ ...

Microsoft Fabric, Databricks, Snowflake, Azure Data Factory, Azure Synapse Analytics, Power BI, or Azure Data Lake Strong knowledge of data governance, data quality, metadata management, lineage, and enterprise data management practices Proven ability to engage and influence senior stakeholders and executive audiences Experience delivering programmes using Agile, Waterfall, and/ ...

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 ...

scalable, secure and cost-effective cloud hybrid data solution aligned with Omnia enterprise architecture and Army training objectives. Design innovative data models and metadata systems to interpret and enhance business needs, promoting data as a strategic asset. Develop transitional data architectures and road maps in alignment with Omnia digital transformation ...

innovative, customer‐focused group of data engineers and specialists responsible for building trusted enterprise data foundations. We work across master data management, data quality, metadata management, data integration, and data warehousing, using tools such as SQL, SSIS, and Alteryx to deliver reliable, scalable data solutions. Partnering closely with our customers ...

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 ...

ensuring reliability and performance Collaborate with business stakeholders to gather and translate requirements into technical solutions Develop and maintain technical documentation, data dictionaries, and metadata Ensure data quality, security, governance, and compliance standards are met Provide support for data-related issues and user queries Contribute to data integration best practices ...

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 ...

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 ...