1 to 25 of 169 Metadata Jobs in the UK

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/ ...

Experience designing and supporting enterprise archival and data retention solutions using IDMC. • Experience integrating IDMC with AWS services and enterprise data platforms. • Understanding of metadata management, lineage, and governance. Platform and DevOps: • Experience with CI/CD pipelines and automation. • Infrastructure as Code using Terraform or similar tooling. • Experience with ...

expertise when required. Ensure successful delivery of strategic data initiatives within agreed timelines and budgets. Data Quality, Compliance & Security Implement robust data quality, lineage, metadata, and governance practices. Ensure compliance with GDPR, security policies, government standards, and regulatory requirements. Establish monitoring and reporting mechanisms to maintain data integrity and reliability. ...

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 ...

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 ...

pipeline design Apache Kafka Apache Spark AWS Glue dbt Apache Airflow Entity matching and resolution Data lineage tracking Schema mapping Semantic data integration Metadata management Data quality frameworks Python (networkx, rdflib, py2neo) SQL Bash/Shell Scripting REST API integration GraphQL JSON-LD processing AI & Cloud Architecture AI Integration Cloud ...

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 ...

communicate architecture to both technical and non-technical audiences. Experience with data modelling (dimensional, Data Vault, and/or domain-oriented approaches) and metadata management. Working knowledge of DevOps practices, infrastructure as code, and automated testing for data pipelines. Desirable Databricks Certifications highly desired (e.g., Data Engineer, Data Analyst, Machine ...

Lead the design of conceptual, logical, and physical data models Support batch, streaming, and real-time data processing capabilities Drive best practice across governance, metadata, lineage, and data quality Optimise platform performance, scalability, reliability, and cost Collaborate closely with engineering, analytics, architecture, and data science teams Provide technical leadership ...

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 ...

Platform (ADF, Synapse, Fabric, ADLS) Databricks (Lakehouse, Delta, ML workflows, PySpark pipelines) Power BI (semantic models, enterprise dashboards, self-service BI) Drive adoption of: Metadata-driven architectures Automation, orchestration, and reusable frameworks Ensure separation and optimisation of data engineering, analytics, and AI workloads 6. Consulting & Delivery Leadership Lead ...

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 ...

Platform (ADF, Synapse, Fabric, ADLS) Databricks (Lakehouse, Delta, ML workflows, PySpark pipelines) Power BI (semantic models, enterprise dashboards, self-service BI) Drive adoption of: Metadata-driven architectures Automation, orchestration, and reusable frameworks Ensure separation and optimisation of data engineering, analytics, and AI workloads 6. Consulting & Delivery Leadership Lead ...

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 ...

beneficial A good understanding of modern data engineering patterns including ETL/ELT, data lakes, lakehouse, and warehousing architectures Experience with data governance frameworks, metadata management, and regulatory compliance It would be a bonus if you have: Familiarity with emerging technologies such as Apache Iceberg, Delta Lake, or data observability ...

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 … lake, data mart, and semantic layer architecture. Experience in defining data quality, data validation, reconciliation, audit, and exception handling frameworks. Experience with data governance, metadata management, data lineage, data catalogue, and data privacy controls. Experience with Azure security concepts including Managed Identity, Azure RBAC, Key Vault, ACLs, private endpoints ...

reporting needs Deliver datasets and analytical outputs to support decision-making and regulatory reporting Support data governance activities, including data dictionaries, business glossaries, and metadata management Lead and contribute to data modelling initiatives, including current and future-state models Collaborate with Data Stewards and Data Owners to improve data quality ...

reporting needs Deliver datasets and analytical outputs to support decision-making and regulatory reporting Support data governance activities, including data dictionaries, business glossaries, and metadata management Lead and contribute to data modelling initiatives, including current and future-state models Collaborate with Data Stewards and Data Owners to improve data quality ...