1 to 25 of 737 Metadata Jobs in the UK

operational stakeholders to turn ambiguous business issues into clear data analysis, engineering actions and controlled tactical fixes. Understanding of data ownership, stewardship, lineage, metadata, controls and data quality monitoring, with the ability to produce documentation that can be reused as part of an enduring data governance model. Experience implementing ...

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. ...

platforms. Experience working with Microsoft Fabric, Azure Data Services, SQL, Power BI, or equivalent modern data platforms. Strong understanding of data modelling, database design, metadata management, and data architecture principles. Experience implementing data quality, governance, and assurance practices. Experience supporting reporting, analytics, and business intelligence solutions. Understanding of information security ...

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 philosophies (Dimensional, ODS, Data Vault) and real ...

architecture and distributed data processing. Data Management Experience with ETL/ELT frameworks and data integration patterns. Knowledge of data quality, data governance, and metadata management. Familiarity with big data technologies and streaming solutions is advantageous. Experience & Education Required Bachelor's degree in computer science, Information Technology, Data Engineering ...

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 ...

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 ...

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 ...

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 ...

products Reviewing technical designs and helping engineering teams make sound architectural decisions Establishing reusable patterns and reducing duplication and technical debt Supporting data quality, metadata, lineage and access controls through Unity Catalog Designing batch, streaming and event-driven integration approaches Helping migrate data from legacy systems into modern cloud platforms ...

Secure Government Data Architecture Practice. About you Technical Expertise Enterprise Data Architecture. Solution Data Architecture. Data Strategy. Information Architecture. Data Modelling. Data Governance. Metadata Management. Master Data Management. Data Quality. Reference Data. Cloud Platforms Microsoft Azure; AWS; GCP Modern Data Platforms Databricks; Microsoft Fabric; PostgreSQL Data Integration Azure Data Factory ...

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 ...

cloud-native orchestration services Event streaming:Kafka and cloud-native event-streaming technologies Data modelling:Dimensional,analyticaland domain-oriented modelling Data governance:Catalogue, metadata, lineage, quality, security,privacyand access controls Data products:Reusable, discoverable and well-governed dataproductsand marketplaces DataOpsand observability:Testing, monitoring, operationalcontrolsand platform reliability Platform engineering:Terraform, CloudFormation ...

defining integration patterns across core WAM platforms. Establish robust data quality, reconciliation and control frameworks, alongside master and reference data strategies aligned to governance, metadata, privacy and stewardship, with appropriate audit trails, review and escalation pathways for AI-enabled processes. Act as a subject matter expert, translating complex technical concepts ...

Experience in managing multiple client environments, ensuring stability and performance optimisation. Eligible for SC clearance Desirable Experience Understanding of data governance, data quality, and metadata management practices. Exposure to IT Service Management (ITSM) tools like ServiceNow. Knowledge of monitoring tools like Azure Monitor and Log Analytics. About The Company Alongside ...

enterprise data products , from architecture and design through implementation, deployment, and production support. Deep understanding of enterprise Data Architecture , including Data Mesh, Data Lakehouse, metadata, lineage, governance, and security frameworks. Extensive experience with Master Data Management (MDM) strategy, solution selection, integration, implementation, and enterprise data governance. Experience leveraging AI-enabled ...

data processing and distributed computing. Understanding of data warehousing concepts, dimensional modelling and ETL/ELT frameworks. Knowledge of data quality, data governance, metadata management and data security principles. Experience with CI/CD pipelines using Azure DevOps or GitHub, along with an understanding of cloud architecture. A bachelor ...

Google Cloud data services and modern data platforms. Experience with data modelling techniques including dimensional, relational or Data Vault modelling. Knowledge of data governance, metadata management and data quality frameworks. Experience working with AI and machine learning within data platforms, alongside an understanding of AI governance. Familiarity with platforms such ...

documenting them as GAPs and aligning them with Architects Data Governance & Discovery Facilitate data discovery and enhance data management processes using platforms like Open Metadata Ensure KPIs and documentation remain accurate and up to date Support data quality and compliance standards across the organization Innovation & Operations Initiate and experiment with ...