17 of 17 Permanent Metadata Jobs in the North East

lake architecture for high-performance analytics. ETL/ELT pipeline development and optimisation to support large-scale data processing. Data integration across structured and unstructured sources, ensuring high availability. Metadata management and governance to maintain data quality and lineage. Deep expertise in Microsoft Azure cloud services, particularly for data analytics and engineering Databricks, including Delta Lake architecture, optimisation, and advanced More ❯

data-related issues. Maintain, monitor, and improve data management systems, ensuring compliance with governance policies and regulatory requirements. Support the implementation of data quality frameworks, data lifecycle management, and metadata management initiatives. Work collaboratively with IT teams, business stakeholders, and external vendors to enhance data management capabilities. Provide expert-level troubleshooting, root cause analysis, and performance optimisation for data platforms … in Level 3 support or equivalent. Hands-on experience with database technologies (Azure landscape, Oracle, PostgreSQL, etc.). Industry certifications in professional data management, cloud platforms (AWS, Azure, GCP), metadata management, or database administration (e.g., Microsoft Certified: Azure Data Engineer Associate, DAMA CDMP) are desirable. Proven experience with ETL tools, data integration, and API-based data exchange. Strong background in … data governance, data quality management, and metadata management. Experience with ServiceNow, Azure Purview, and master data management tools such as Profisee, CluedIn, or Semarchy. Personal Attributes: Deep understanding of relational and non-relational database architectures, indexing strategies, and performance tuning. Strong analytical and problem-solving skills for troubleshooting complex data issues. Knowledge of data governance frameworks (DCAM, DAMA DMBOK, ISO More ❯

Ability to diagnose issues and implement efficient solution Experience implementing Databricks Unity Catalog for data governance, access control, and lineage tracking. Understanding of Azure Purview for data cataloging and metadata management. Familiarity with object-level and row-level security in Azure Synapse and Databricks Experience working with Azure Event Hubs, Azure Data Explorer, or Kafka for real-time data streaming. More ❯

functional teams effectively. It would be great if you have: Azure Data Fundamentals DP-900 certification. Azure Fundamentals AZ-900 certification. Good knowledge of data governance, data quality, security, metadata cataloguing and Master Data Management. Machine Learning and AI development experience We’re committed to providing our people with a great environment to work in. You can expect ongoing skills More ❯

ERDs). Strong communication and teamwork skills to collaborate with cross-functional teams effectively. It would be great if you have: Good knowledge of data governance, data quality, security, metadata cataloguing and Master Data Management. Machine Learning and AI development experience We’re committed to providing our people with a great environment to work in. You can expect ongoing skills More ❯

functional teams effectively. It would be great if you have: Azure Data Fundamentals DP-900 certification. Azure Fundamentals AZ-900 certification. Good knowledge of data governance, data quality, security, metadata cataloguing and Master Data Management. Machine Learning and AI development experience Benefits: Up to 10% bonus (based on company and personal performance). An employer pension scheme 25 days holiday More ❯

ERDs). Strong communication and teamwork skills to collaborate with cross-functional teams effectively. It would be great if you have: Good knowledge of data governance, data quality, security, metadata cataloguing and Master Data Management. Machine Learning and AI development experience Up to 10% bonus (based on company and personal performance). 25 days holiday + 8 bank holidays, with More ❯

/4 support or equivalent. Hands-on experience with database technologies ( Azure landscape , Oracle, PostgreSQL, etc.). Industry certifications in professional data management, cloud platforms (AWS, Azure, GCP), metadata management, or database administration (e.g., Microsoft Certified: Azure Data Engineer Associate, DAMA CDMP) are desirable. Proven experience with ETL tools, data integration, and API-based data exchange. Strong background in data … governance, data quality management, and metadata management. Experience with ServiceNow, Azure Purview, and master data management tools such as Profisee, CluedIn, or Semarchy. Role Serve as the technical escalation point for data management support, ensuring timely and effective resolution of complex data-related issues. Maintain, monitor, and improve data management systems, ensuring compliance with governance policies and regulatory requirements. Support … the implementation of data quality frameworks, data lifecycle management, and metadata management initiatives. Work collaboratively with IT teams, business stakeholders, and external vendors to enhance data management capabilities. Provide expert-level troubleshooting, root cause analysis, and performance optimisation for data platforms, such as Azure SQL databases, Fabric Warehouse and Onelake, Databricks, and Azure Data Factory. Document technical solutions, best practices More ❯

/4 support or equivalent. Hands-on experience with database technologies ( Azure landscape , Oracle, PostgreSQL, etc.). Industry certifications in professional data management, cloud platforms (AWS, Azure, GCP), metadata management, or database administration (e.g., Microsoft Certified: Azure Data Engineer Associate, DAMA CDMP) are desirable. Proven experience with ETL tools, data integration, and API-based data exchange. Strong background in data … governance, data quality management, and metadata management. Experience with ServiceNow, Azure Purview, and master data management tools such as Profisee, CluedIn, or Semarchy. Role Serve as the technical escalation point for data management support, ensuring timely and effective resolution of complex data-related issues. Maintain, monitor, and improve data management systems, ensuring compliance with governance policies and regulatory requirements. Support … the implementation of data quality frameworks, data lifecycle management, and metadata management initiatives. Work collaboratively with IT teams, business stakeholders, and external vendors to enhance data management capabilities. Provide expert-level troubleshooting, root cause analysis, and performance optimisation for data platforms, such as Azure SQL databases, Fabric Warehouse, Onelake, Databricks, and Azure Data Factory. Document technical solutions, best practices, and More ❯

BI dashboards. Strong focus on documentation and diagramming (e.g., ERDs). Effective communication and teamwork skills for cross-functional collaboration. Preferred qualifications: Knowledge of data governance, data quality, security, metadata cataloging, and Master Data Management. Machine Learning and AI development experience. Benefits: Up to 10% bonus based on performance. 25 days holiday plus 8 bank holidays, with options to carry More ❯

Talend, dbt). Experience designing and implementing scalable data pipelines and integration patterns across structured and unstructured data sources (e.g., Azure SQL, MySQL, MongoDB). Familiarity with data governance, metadata management, and data quality frameworks. Practical experience applying DevOps principles to data engineering, including CI/CD pipelines, infrastructure as code, and monitoring. Solid understanding of data security and compliance More ❯

governance methodology. Reviews of data quality monitoring metrics and data quality rule creation. Operation and incremental build-out of the data platform using in-house and vendor data tools. Metadata analysis and data catalogue curation to support data discoverability. Day-to-day data subject matter expert support for the front office across various data sets. What Makes a Great Candidate More ❯

governance methodology. Reviews of data quality monitoring metrics and data quality rule creation. Operation and incremental build-out of the data platform using in-house and vendor data tools. Metadata analysis and data catalogue curation to support data discoverability. Day-to-day data subject matter expert support for the front office across various data sets. What Makes a Great Candidate More ❯

governance methodology. Reviews of data quality monitoring metrics and data quality rule creation. Operation and incremental build-out of the data platform using in-house and vendor data tools. Metadata analysis and data catalogue curation to support data discoverability. Day-to-day data subject matter expert support for the front office across various data sets. What Makes a Great Candidate More ❯

operations. Experience in product experience management, digital commerce, or product content operations. Proven experience in implementing or supporting PXM systems (Akeneo, Salsify, inRiver, etc) Strong understanding of product taxonomy, metadata, attributes, lifecycle management, content syndication and data workflows. Excellent analytical and problem-solving skills with the ability to communicate technical concepts to non-technical stakeholders. Experience integrating PXM systems with More ❯

ensuring smooth deployment and adoption Manage the technical setup, configuration, and deployment of Zeenea, ensuring seamless integration into customer environments Provide customer technical documentation, workflows, and best practices for metadata management and governance Proactively identify technical implementation risks and provide recommendations to mitigate issues before they arise Post-Implementation Optimization Support advanced technical integrations to extend platform capabilities Deliver ongoing … technical insights to help customers improve efficiency, performance, and scalability Advise customers on complex metadata manipulation projects Technical Customer Success Partner with Product and Engineering to influence roadmap priorities based on customer feedback Support customer presentations, providing technical insights that reinforce business impact Contribute to case studies showcasing innovative metadata implementations Skills and Expertise: 5+ years in technical implementation, consulting … Strong communication and interpersonal skills, with the ability to engage stakeholders at all levels Preferred: Strong understanding of data catalogs, business glossaries, lineage tracking, and governance policies Experience with metadata-driven architectures and data integration strategies across cloud and hybrid environments Prior experience in a Technical Account Management (TAM) or Technical and/or Data Consulting role What We Offer More ❯

Permanent - Full Time Newcastle-upon-Tyne, GB, NE991RN BBC PUBLIC SERVICE B'CAST Job Closing Date: 18/05/2025 THE ROLE • Job Reference: 23661 • Department: Content & Content Metadata • Location: Newcastle (This is a hybrid role and the successful candidate will balance office working with home working) • Reports to: Software Engineering Manager • Band: D • Salary … is to expose BBC content via a single, unified API, making it easier for products and platforms to deliver rich, engaging experiences to audiences. Descriptive, well-structured, and centralised metadata allows BBC products to provide a rich, engaging and above all relevant experience to millions of audience members every day, for all sorts of BBC content, across all manner of … team is looking for an experienced, professional, and enthusiastic Software Engineering Team Lead to join a world-class team responsible for designing, building, and delivering the BBC's content metadata systems. The role is partly management - developing, mentoring, and inspiring the engineers on the team - and partly hands-on technical work across a varied technical domain. The team will be More ❯