1 to 25 of 111 Permanent Metadata Jobs in London

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 ...

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 ...

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 ...

Azure 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 ...

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 ...

Azure SQL/SQL Server to process and manage large datasets. Design and implement data models using Kimball, 3NF and dimensional modelling approaches. Develop metadata-driven pipelines to improve automation and efficiency. Work closely with technical teams and clients to understand data requirements and deliver effective solutions. Maintain high standards ...

performance, scalability and cost Supporting batch, streaming and real-time data processing, including high-volume transactional data Embedding best practice across governance, lineage, metadata and data quality Driving automation through CI/CD and Infrastructure as Code Working closely with engineering, analytics and data science teams as the trusted data ...

/or Databricks. Experience with AWS services, APIs, event-driven integration and infrastructure as code. Exposure to AI/ML data preparation, data observability, metadata management and modern data governance practices. Experience working with globally distributed teams and supporting cross-functional transformation programs. Please note, Sony Interactive Entertainment conducts background ...

management hierarchies. Strong data modelling discipline and the ability to justify and maintain definitional standards, including canonical or semantic models, data contracts, schema evolution, metadata, lineage and data-quality controls. Experience extracting and reconciling data from enterprise applications or complex operational systems using APIs, files, database interfaces or change-data ...

Azure 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 ...

data infrastructure by staying current with tools and identifying better ways of working.Work closely with Data Governance, making sure monitoring, alerting and metadata are kept up to date,What you’ll bringEssential criteria:Strong experience in data engineering, business intelligence development or data platform engineering, with a proven track record ...

analysis and requirements gathering . Hands-on experience with Data Quality and Data Governance frameworks . Experience with data quality rules, data lineage and metadata management . Strong SQL skills for data analysis, validation and reporting. Experience with tools such as Collibra, Solidatus or Microsoft Purview . Understanding of financial ...

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

efficient, well-governed data models. Your leadership will be key in identifying gaps, driving improvements, and implementing best practices in dimensional modelling, normalization, and metadata management. As a lead, you will contribute to architecture reviews, mentor junior data modelers, and support data governance initiatives. You will also play a role ...

guidance and mentoring. Experience Required Data Architecture: Strong experience in data modelling, transformation, migration, and analytics/AI solutions, with knowledge of data quality, metadata, and modern platforms. Cloud & Technology: Hands-on experience with AWS and/or Azure data services, plus knowledge of distributed systems, integration, microservices, and containerisation ...

Python and SQL to ingest and transform commodities data from multiple vendor and internal sources. Build and maintain standardized data models, schemas, and metadata that make commodities datasets easy to understand, discover, and reuse. Schedule, monitor, and manage data pipelines using Airflow or similar workflow orchestration tools to ensure reliable ...

ensure changes follow validation and change-control requirements.Work with R&D and central ontology/knowledge-graph teams to implement and operate data and metadata structures (for example applying agreed ontologies, reference data and mappings) so digital product profile data can be linked and reused across platforms, without owning ...

changes follow validation and change-control requirements. Work with R&D and central ontology/knowledge-graph teams to implement and operate data and metadata structures (for example applying agreed ontologies, reference data and mappings) so digital product profile data can be linked and reused across platforms, without owning ...

ensuring alignment with the overall business strategy and objectives. Develop and maintain the data architecture for the security master system (secmaster), including data models, metadata, and data flow diagrams. Team Leadership: Lead and manage the secmaster team of python/sql engineers, providing guidance, mentorship, and support to team members. ...

across cloud-based and on-premises environments. Apply software engineering and DataOps principles to improve deployment, automation, monitoring and reliability. Support data quality, governance, metadata management and security requirements. Collaborate with technical teams and stakeholders to deliver robust data solutions that meet business and operational needs. What Were Looking ...

leadership experience Strong Azure data platform expertise, including Azure Databricks Experience designing modern lakehouse and enterprise data architectures Strong understanding of data governance, metadata, MDM and enterprise data modelling Experience supporting AI/ML initiatives and modern AI data platforms Excellent stakeholder management and communication skills Experience working within enterprise ...

including interfaces, APIs, data synchronisation, failure handling and reconciliation. Strong understanding of legal-sector data domains including client and matter records, workspace and document metadata, conflicts and intake, time capture, billing and WIP. Understanding of how these data domains interact and flow between Document Management, Practice Management, Finance and Risk ...

including interfaces, APIs, data synchronisation, failure handling and reconciliation. Strong understanding of legal-sector data domains including client and matter records, workspace and document metadata, conflicts and intake, time capture, billing and WIP. Understanding of how these data domains interact and flow between Document Management, Practice Management, Finance and Risk ...

ensure consistency and quality across the R&D data ecosystem.Establish and oversee data governance practices for master data, including data stewardship, data quality, and metadata management.Stay at the forefront of data modeling techniques and technologies and drive the adoption of innovative solutions to enhance the R&D data infrastructure.Continuously evaluate ...

ownership and stewardship models, target operating models, data architectures and implementation roadmaps. Strong understanding of master data management, data quality, data migration, data integration, metadata, reporting and analytics, with the ability to connect these disciplines into a coherent client solution. Experience leading large, distributed and multidisciplinary delivery teams, including onshore ...