1 to 25 of 168 Metadata Jobs in the North of England

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 More ❯

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 More ❯

platforms Owning physical data models and collaborating with BI teams on reporting layers Supporting data discovery, KPI definition, and data quality initiatives Documenting architecture, metadata, and data lineage for project transparency Driving performance optimization and issue resolution across the data stack ✅ What We’re Looking For: 5+ years of experience More ❯

platforms Owning physical data models and collaborating with BI teams on reporting layers Supporting data discovery, KPI definition, and data quality initiatives Documenting architecture, metadata, and data lineage for project transparency Driving performance optimization and issue resolution across the data stack ✅ What We’re Looking For: 5+ years of experience More ❯

platforms Owning physical data models and collaborating with BI teams on reporting layers Supporting data discovery, KPI definition, and data quality initiatives Documenting architecture, metadata, and data lineage for project transparency Driving performance optimization and issue resolution across the data stack ✅ What We’re Looking For: 5+ years of experience More ❯

platforms Owning physical data models and collaborating with BI teams on reporting layers Supporting data discovery, KPI definition, and data quality initiatives Documenting architecture, metadata, and data lineage for project transparency Driving performance optimization and issue resolution across the data stack ✅ What We’re Looking For: 5+ years of experience More ❯

platforms Owning physical data models and collaborating with BI teams on reporting layers Supporting data discovery, KPI definition, and data quality initiatives Documenting architecture, metadata, and data lineage for project transparency Driving performance optimization and issue resolution across the data stack ✅ What We’re Looking For: 5+ years of experience More ❯

platforms Owning physical data models and collaborating with BI teams on reporting layers Supporting data discovery, KPI definition, and data quality initiatives Documenting architecture, metadata, and data lineage for project transparency Driving performance optimization and issue resolution across the data stack ✅ What We’re Looking For: 5+ years of experience More ❯

platforms Owning physical data models and collaborating with BI teams on reporting layers Supporting data discovery, KPI definition, and data quality initiatives Documenting architecture, metadata, and data lineage for project transparency Driving performance optimization and issue resolution across the data stack ✅ What We’re Looking For: 5+ years of experience More ❯

of data models , lineage , and governance frameworks that ensure data trust, accuracy, and traceability. Define architecture standards for data integration , master data management , and metadata strategy . Support key programmes like ITSM (ServiceNow) and back-office platform migrations , ensuring the right data gets to the right place at the right More ❯

of data models , lineage , and governance frameworks that ensure data trust, accuracy, and traceability. Define architecture standards for data integration , master data management , and metadata strategy . Support key programmes like ITSM (ServiceNow) and back-office platform migrations , ensuring the right data gets to the right place at the right More ❯

of data models , lineage , and governance frameworks that ensure data trust, accuracy, and traceability. Define architecture standards for data integration , master data management , and metadata strategy . Support key programmes like ITSM (ServiceNow) and back-office platform migrations , ensuring the right data gets to the right place at the right More ❯

quality across the data ecosystem. These sources include Adalyser, Meta Ads, Google Ads, Hubspot and Aircall along with performance tracking data, product imagery and metadata from bespoke platforms. Data Quality & Validation: Implement processes to monitor and ensure the accuracy, completeness, and consistency of data. Conduct regular data audits and resolve More ❯

quality across the data ecosystem. These sources include Adalyser, Meta Ads, Google Ads, Hubspot and Aircall along with performance tracking data, product imagery and metadata from bespoke platforms. Data Quality & Validation: Implement processes to monitor and ensure the accuracy, completeness, and consistency of data. Conduct regular data audits and resolve More ❯

quality across the data ecosystem. These sources include Adalyser, Meta Ads, Google Ads, Hubspot and Aircall along with performance tracking data, product imagery and metadata from bespoke platforms. Data Quality & Validation: Implement processes to monitor and ensure the accuracy, completeness, and consistency of data. Conduct regular data audits and resolve More ❯

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. More ❯

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. More ❯

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. More ❯

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. More ❯

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. More ❯

ensure successful handover to internal teams. Design and implement ETL/ELT pipelines for cloud data warehouse solutions. Build and maintain data dictionaries and metadata management systems . Analyze and cleanse data using a range of tools and techniques. Manage and process structured and semi-structured data formats such as More ❯

ensure successful handover to internal teams. Design and implement ETL/ELT pipelines for cloud data warehouse solutions. Build and maintain data dictionaries and metadata management systems . Analyze and cleanse data using a range of tools and techniques. Manage and process structured and semi-structured data formats such as More ❯

ensure successful handover to internal teams. Design and implement ETL/ELT pipelines for cloud data warehouse solutions. Build and maintain data dictionaries and metadata management systems . Analyze and cleanse data using a range of tools and techniques. Manage and process structured and semi-structured data formats such as More ❯

management sector. What You’ll Bring: Expert-level T-SQL skills (Stored Procedures, Views, Triggers, UDFs) Deep understanding of SQL Server internals (indexes, statistics, metadata) Strong performance tuning and SQL refactoring expertise Experience with SQL CLRs, SSRS, and Power BI Excellent communication and a proactive mindset What You’ll Get More ❯

management sector. What You’ll Bring: Expert-level T-SQL skills (Stored Procedures, Views, Triggers, UDFs) Deep understanding of SQL Server internals (indexes, statistics, metadata) Strong performance tuning and SQL refactoring expertise Experience with SQL CLRs, SSRS, and Power BI Excellent communication and a proactive mindset What You’ll Get More ❯