1 to 25 of 742 Metadata Jobs in the UK

documentation and technical designs. Essential Skills & Experience Data Architecture Enterprise Data Modelling (Conceptual, Logical, Physical) Data Governance Data Quality Management Master Data Management (MDM) Metadata Management Data Integration & ETL Data Warehousing Data Architecture Frameworks Cloud Data Platforms (Azure preferred) SQL API & Data Integration Design Data Security & Risk Management Architecture Documentation ...

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 ...

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 ...

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 ...

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. ...

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 ...

lake, lakehouse and modern data platform architectures. Self-service data ingestion and ETL frameworks. Python, SQL or other data engineering languages. Data governance, lineage, metadata management and data quality. Experience with large-scale or highly regulated data environments. Experience delivering data solutions within Government, Defence or wider public-sector organisations. ...

technical audiences. Experience designing and delivering modern data platforms, pipelines, and integration architectures . A solid understanding of data governance, operating models, metadata, lineage, and data quality frameworks . The ability to operate across the full data lifecycle , from strategy and architecture through to delivery, adoption, and optimisation. ...

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 ...

methodologies, including Git. Proven experience working with Databricks, including data ingestion, transformation and optimisation of large-scale data processing workloads. Understanding of data governance, metadata management and data quality frameworks, including experience with tools such as Great Expectations or similar data validation solutions. Knowledge of Unity Catalog, including data lineage ...

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 ...

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 ...

Quality, Testing & Governance Implement automated testing, data validation, and monitoring (SLAs, alerts) to ensure pipeline reliability. Contribute to data governance practices, including lineage tracking, metadata management, and quality controls. Support CI/CD pipelines for data assets, ensuring version control and reproducibility. Requirements Scoping & Cross‐Functional Collaboration Partner with Analytics ...

Quality, Testing & Governance• Implement automated testing, data validation, and monitoring (SLAs, alerts) to ensure pipeline reliability.• Contribute to data governance practices, including lineage tracking, metadata management, and quality controls.• Support CI/CD pipelines for data assets, ensuring version control and reproducibility.Requirements Scoping & Cross-Functional Collaboration• Partner with Analytics Engineers ...

Azure, including storage, networking, and identity concepts relevant to data platforms.* Experience with data governance frameworks and tools (e.g. Microsoft Purview), data quality management, metadata, and lineage tooling.* Strong SQL and working knowledge of Python and/or Spark.* Understanding of data security and privacy: encryption, access control (RBAC/ ...

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 ...

Fabric, Azure Synapse Analytics, Azure Data Factory, Azure Data Lake, Databricks, and Snowflake. Data Management, Governance & Controls: Experience establishing data governance frameworks, operating models, metadata management, lineage, cataloguing, data quality, and master data management capabilities. Familiarity with governance and compliance tooling such as Microsoft Purview, Profisee, Informatica and Collibra. Data ...

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 ...

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 ...