26 to 50 of 219 Metadata Jobs in England

Data Flows: Architect operational and analytical data pipelines across APIs, streaming, CDC, batch and ETL/ELT, embedding data quality, lineage, metadata, security, testing and observability throughout. Technical Leadership & Delivery: Work closely with engineering and product teams in fast-paced agile environments, making pragmatic trade-offs and establishing lightweight guardrails ...

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 ...

data storage solutions across cloud and on-prem environments Apply DataOps/software engineering best practices for deployment and reliability Ensure strong data governance, metadata management and security controls What theyre looking for Strong experience in Data Engineering (not just analysis) Hands-on with: Python, SQL, ETL/data pipeline ...

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 ...

product and senior stakeholders, and helping them with data-related technical issues Designing conceptual, logical and physical data models for the new platform Building metadata-driven pipelines across Azure Synapse, Data Factory and PostgreSQL using Python and PySpark Migrating data from legacy reporting solutions onto the platform while protecting data ...

experience Financial services or another regulated environment. PySpark for large-scale batch or streaming transformations. Migrating SQL Server and SSIS 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 ...

enrichment, focusing on the most critical data first and tracking the tangible ‘value-add’ with data consumers. \n Ensure Compliance & Transparency: Maintain complete metadata, data descriptions, and lineage while ensuring data is correctly classified, protected, and compliant with GDPR and internal security protocols. \n Manage Risk & Alignment: Engage with stakeholders ...

enrichment, focusing on the most critical data first and tracking the tangible ‘value-add’ with data consumers. \n Ensure Compliance & Transparency: Maintain complete metadata, data descriptions, and lineage while ensuring data is correctly classified, protected, and compliant with GDPR and internal security protocols. \n Manage Risk & Alignment: Engage with stakeholders ...

Lakehouse architecture . Experience with Golden Records, common IDs, entity resolution, deduplication, and data quality . Good understanding of Unity Catalog, data governance, metadata, and lineage . Experience integrating data from multiple enterprise platforms. Knowledge of Medallion Architecture and data privacy/anonymization. Good to Have Experience with Informatica ...

Lakehouse architecture . Experience with Golden Records, common IDs, entity resolution, deduplication, and data quality . Good understanding of Unity Catalog, data governance, metadata, and lineage . Experience integrating data from multiple enterprise platforms. Knowledge of Medallion Architecture and data privacy/anonymization. Good to Have Experience with Informatica ...

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 ...

Cloud, Service Cloud, Revenue Cloud and Data Cloud Configuring and customising Salesforce using Apex, Lightning Web Components, Flows, Validation Rules, process automation and Custom Metadata Building scalable integrations between Salesforce and other platforms (Informatica, ERP, MDM, marketing automation, eCommerce, customer support and data platforms) using REST, SOAP, Platform Events ...

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. ...

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. ...

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 ...

minimal redundancy. Partner with application development, architecture and business teams to define data strategies, data flows and source-to-target mappings. Develop and maintain metadata, data dictionaries and documentation to support enterprise data governance. Optimise and enhance existing data models to support new business initiatives and improve performance. Define … Experience working with relational databases and modern NoSQL platforms. Knowledge of ETL processes, data integration and data transformation techniques. Experience defining enterprise data standards, metadata management and naming conventions. Experience documenting data architecture, business rules, data dictionaries and technical specifications. Familiarity with UML and business process modelling techniques. Experience facilitating ...

minimal redundancy. Partner with application development, architecture and business teams to define data strategies, data flows and source-to-target mappings. Develop and maintain metadata, data dictionaries and documentation to support enterprise data governance. Optimise and enhance existing data models to support new business initiatives and improve performance. Define … Experience working with relational databases and modern NoSQL platforms. Knowledge of ETL processes, data integration and data transformation techniques. Experience defining enterprise data standards, metadata management and naming conventions. Experience documenting data architecture, business rules, data dictionaries and technical specifications. Familiarity with UML and business process modelling techniques. Experience facilitating ...

minimal redundancy. Partner with application development, architecture and business teams to define data strategies, data flows and source-to-target mappings. Develop and maintain metadata, data dictionaries and documentation to support enterprise data governance. Optimise and enhance existing data models to support new business initiatives and improve performance. Define … Experience working with relational databases and modern NoSQL platforms. Knowledge of ETL processes, data integration and data transformation techniques. Experience defining enterprise data standards, metadata management and naming conventions. Experience documenting data architecture, business rules, data dictionaries and technical specifications. Familiarity with UML and business process modelling techniques. Experience facilitating ...

analytics tools, such as Azure Synapse. Strong ability to design, build and manage data pipelines for data structures encompassing data transformation, data models, schemas, metadata, and workload management (Metadata Driven Ingestion). Good working experience of database technologies and database integration, such as SQL, Postgres, MySQL or Oracle. Experience ...

platform engineering and optimisation. * Extensive experience building dbt projects from the ground up. * Strong SQL and data warehousing expertise. * Experience designing CDC, ELT and metadata-driven ingestion frameworks. * Solid understanding of CI/CD, Git and infrastructure as code practices. * Python development experience for data engineering and automation. * Experience leading ...

platform engineering and optimisation. * Extensive experience building dbt projects from the ground up. * Strong SQL and data warehousing expertise. * Experience designing CDC, ELT and metadata-driven ingestion frameworks. * Solid understanding of CI/CD, Git and infrastructure as code practices. * Python development experience for data engineering and automation. * Experience leading ...

trusted analytics, reporting and business intelligence solutions. Designing and managing secure, reliable data services and APIs. Establishing best practices across data quality, governance, lineage, metadata and observability. Embedding security, privacy and compliance into data architecture and engineering processes. Working closely with technical and commercial stakeholders to influence data strategy, architecture ...