1 to 25 of 220 Permanent Metadata Jobs in the UK excluding London

access history, and data classification.Streaming and CDC patterns (Kafka, Kinesis, Snowpipe Streaming) and event-driven architectures for near real-time use cases.Data governance and metadata management (catalogs, lineage, MDM, data quality frameworks) with familiarity in regulatory regimes (e.g., GDPR/CCPA/HIPAA/PCI-DSS/SOX).Proficiency ...

accuracy, and integrity across platforms. Data Governance & Compliance Partner with business and technology leaders to establish data governance policies and procedures. Define data standards, metadata management practices, and master data management strategies. Ensure compliance with data privacy, security, and regulatory requirements. Support audit and risk management activities related to data ...

platforms using Azure, AWS, or Google Cloud Knowledge of data warehousing, data lakes, medallion architecture, and modern data architecture patterns Experience with data governance, metadata management, and data quality practices Strong problem-solving, analytical, and stakeholder communication skills Nice to Have Experience working in healthcare organizations, healthcare technology, health information ...

Familiarity with Agile delivery and DevOps practices (Azure DevOps, JIRA, etc.). Preferred Skills & Experience: Knowledge of EDM (Enterprise Data Management) practices, data governance, metadata management and lineage tools. Exposure to multi-cloud environments ( AWS or GCP ). Understanding of modern data architecture methodologies (Dimensional, ODS, Data Vault) and real ...

physical data models supporting current and future enterprise applications. Define standards, principles, and best practices for enterprise data management. Create and maintain data dictionaries, metadata repositories, and documentation. Establish scalable architectures supporting ERP, PLM including Manufacturing Systems, and reporting platforms. Collaborate with business and technical stakeholders to ensure data structures ...

model performance, explainability and responsible AI. Data Governance, Data Quality and Data Management Profiling, cleansing, validating and remediating data. Defining data quality rules, dictionaries, metadata and lineage. Supporting data ownership and stewardship models. Contributing to data migration, regulatory reporting or remediation projects. Automation and AI‐enabled Workflow Identifying opportunities ...

model performance, explainability and responsible AI. Data Governance, Data Quality and Data Management Profiling, cleansing, validating and remediating data. Defining data quality rules, dictionaries, metadata and lineage. Supporting data ownership and stewardship models. Contributing to data migration, regulatory reporting or remediation projects. Automation and AI‐enabled Workflow Identifying opportunities ...

Python, SQL, PySpark and Spark SQL Experience delivering production pipelines in AWS, Azure, or GCP environments. Solid understanding of data modeling, schema design, metadata management, and governance. Familiarity with CI/CD, Git-based workflows, and software engineering best practices. Why Join Us? We're a purpose-driven organisation committed ...

Python, SQL, PySpark and Spark SQL Experience delivering production pipelines in AWS, Azure, or GCP environments. Solid understanding of data modeling, schema design, metadata management, and governance. Familiarity with CI/CD, Git-based workflows, and software engineering best practices. Why Join Us? We're a purpose-driven organisation committed ...

/event telemetry. Ensure data flows are resilient, observable, and architected for reliability and cost efficiency. Governance, Security & Compliance Define data governance frameworks covering metadata, lineage, data catalogue, access management, and quality standards, implemented through Unity Catalog. Ensure that data architecture adheres to Quantios’ security, privacy, and regulatory requirements. Define ...

strategic technology standards. Evaluate new technologies and recommend improvements to existing platforms. Data Management and Governance Support implementation of data governance, quality, lineage and metadata management practices. Ensure data assets meet applicable regulatory, audit and control requirements. Drive improvements in data quality and trusted data consumption. Leadership and Collaboration Provide ...

solutions, ensuring engineering excellence and reusability across the platform Establishing and governing enterprise data models, engineering standards, security controls, data quality frameworks, lineage and metadata management practices across the Azure Data Platform Leading the migration and modernisation of legacy data warehouse and SQL Server environments, driving adoption of cloud-native ...

align solutions with strategic technology standards.Evaluate new technologies and recommend improvements to existing platforms.Data Management and GovernanceSupport implementation of data governance, quality, lineage and metadata management practices.Ensure data assets meet applicable regulatory, audit and control requirements.Drive improvements in data quality and trusted data consumption.Leadership and CollaborationProvide technical leadership across delivery ...

Spark, Apache Airflow, or equivalent data processing and orchestration frameworks. Experience supporting machine learning, analytics, or AI-focused data platforms. Familiarity with data governance, metadata management, data lineage, and data quality frameworks. Knowledge of DevOps practices, CI/CD pipelines, and automated testing for data solutions. Experience working in Agile ...

data, classification, sensitivity labelling and information lifecycle (e.g. Microsoft Purview). Understanding of what makes a data estate 'AI‐ready' – content quality and structure, metadata, permissions and oversharing risk, unstructured data preparation, and retrieval patterns that underpin Copilot and agentic AI. Knowledge of applied AI and its commercial application – Microsoft ...

data, classification, sensitivity labelling and information lifecycle (e.g. Microsoft Purview). Understanding of what makes a data estate 'AI‐ready' – content quality and structure, metadata, permissions and oversharing risk, unstructured data preparation, and retrieval patterns that underpin Copilot and agentic AI. Knowledge of applied AI and its commercial application – Microsoft ...

Microsoft Fabric Azure Synapse Enterprise Data Platforms Strong dimensional data modelling experience. Experience designing secure and governed analytics solutions. Knowledge of data governance, lineage, metadata, and data quality principles. Experience implementing CI/CD and source control practices for Power BI solutions. Strong stakeholder management and communication skills. Experience delivering ...

patterns (ETL/ELT, API‐led connectivity). Strong capability to design distributed, highly available, and secure data pipelines. Information Architect: Deep expertise in metadata management, master data management (MDM), and reference data management. Proven ability to construct enterprise taxonomies, ontologies, data lineages, and business glossaries. Strong understanding of semantic ...

ThoughtSpot. Embed data governance, quality and assurance across the full data lifecycle, ensuring compliance with organisational policy, responsible use of AI and metadata management. Governance is enabled through Unity Catalog. Support the operation and continuous improvement of production data pipelines, data products and platform capabilities, improving reliability, performance, cost efficiency ...

ThoughtSpot. Embed data governance, quality and assurance across the full data lifecycle, ensuring compliance with organisational policy, responsible use of AI and metadata management. Governance is enabled through Unity Catalog. Support the operation and continuous improvement of production data pipelines, data products and platform capabilities, improving reliability, performance, cost efficiency ...

ThoughtSpot. Embed data governance, quality and assurance across the full data lifecycle, ensuring compliance with organisational policy, responsible use of AI and metadata management. Governance is enabled through Unity Catalog. Support the operation and continuous improvement of production data pipelines, data products and platform capabilities, improving reliability, performance, cost efficiency ...

business and technical stakeholders to identify data requirements, create data models, and define data integration and migration strategies.Establish data governance practices, including data quality, metadata management, and data lineage, to ensure data accuracy, reliability, and compliance.Provide technical leadership in evaluating and selecting data management and data utilisation technologies, tools ...

data mesh concepts such as data as a product, domain ownership, and federated governance. Demonstrated experience in data governance, including stewardship, policy implementation, and metadata management. Knowledge of JIRA and agile delivery practices. Effective communicator with the ability to translate complex data issues for diverse audiences. We value diversity ...

data architecture principles and experience collaborating with engineering teams in Agile delivery environments. Understanding of relational and dimensional data modelling, including support for metadata and data dictionary management. Understanding of data security principles, governance frameworks, and MOD compliance standards. Strong SQL skills for querying and manipulating structured datasets. Proficiency ...

scalable technical solutions Desirable Experience AWS Data Services (Glue, EMR, Lambda, S3, Athena, Redshift) Streaming technologies such as Kafka or Kinesis Data modelling and metadata management AI/ML data pipelines and feature engineering Geospatial, sensor, operational or intelligence-related datasets Experience working within Defence, National Security, Government or other ...