1 to 25 of 262 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 ...

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 ...

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 ...

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 ...

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 ...

/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 ...

HANA and BW/4HANA architectures.Experience designing modern Business Data Fabric and cloud-based analytics solutions.Strong knowledge of data governance, data quality and metadata management frameworks.Experience developing executive-level analytics and data transformation strategies.Ability to engage credibly with Executive Committees, Boards and senior business stakeholders.Strong consulting, stakeholder management and communication ...

platforms, balancing performance, scalability, resilience, and cost Strong understanding of data governance, data management frameworks, and best practices such as data quality, lineage, and metadata Advanced SQL skills and experience working directly with source data Broad knowledge of data engineering principles and modern data architectures such aslakehouse, and medallion architecture ...

platforms, balancing performance, scalability, resilience, and cost Strong understanding of data governance, data management frameworks, and best practices such as data quality, lineage, and metadata Advanced SQL skills and experience working directly with source data Broad knowledge of data engineering principles and modern data architectures such aslakehouse, and medallion architecture ...

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 ...

technical direction. Collaborate with stakeholders across business, product, and IT to gain buy-in and drive data-driven decisions. Define data models, data flows, metadata standards, and integration patterns. Contribute to data engineering, automation, and infrastructure-as-code practices for delivery at scale. Ensure data security, privacy, compliance, and risk ...

legacy platforms such as Oracle, SQL Server/SSIS or Synapse. Power BI semantic models, curated datasets and supporting analytics platforms. Data quality, governance, metadata management and lineage. Data security, classification and access control approaches. Automated testing, validation, reconciliation testing and performance optimisation. DataOps, CI/CD and version control ...

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 ...

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 ...

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 ...

Data Factory, Azure Data Lake and Power BI. Design scalable data lake, lakehouse, data warehouse and data integration solutions. Establish data governance, security, quality, metadata and lineage using Microsoft Purview. Provide architecture leadership for Data & AI, analytics and Generative AI initiatives. Lead architecture reviews, technology selection and technical assurance across ...

high standards of quality, governance and security. Desirable experience Regulated environment. PySpark for large-scale data transformations. Migrating legacy data estates to lakehouse or metadata-driven architectures. Customer Data Platforms or event-driven systems. Data-quality tools such as dbt tests or Great Expectations. MCP servers or governed natural-language ...

high standards of quality, governance and security. Desirable experience Regulated environment. PySpark for large-scale data transformations. Migrating legacy data estates to lakehouse or metadata-driven architectures. Customer Data Platforms or event-driven systems. Data-quality tools such as dbt tests or Great Expectations. MCP servers or governed natural-language ...

validation, reconciliation and data-quality controls to ensure information is accurate, complete, consistent and trustworthy Data Management & Governance – Support good data-management practices including metadata, data lineage, data definitions, ownership, classification and lifecycle management Security & Access – Apply appropriate security controls across AWS and Power BI, including IAM, least privilege, encryption ...