1 to 25 of 44 Metadata Jobs in West Yorkshire

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 ❯

controls Experience creating and maintaining process documentation Knowledge and understanding of data such that you can identify where data content, data structure and data metadata may not align with the documentation Experience in using these technologies in a Production context: Databricks/Snowflake, DBT, FICO, MongoDB, Python, Azure Data Factory More ❯

controls Experience creating and maintaining process documentation Knowledge and understanding of data such that you can identify where data content, data structure and data metadata may not align with the documentation Experience in using these technologies in a Production context: Databricks/Snowflake, DBT, FICO, MongoDB, Python, Azure Data Factory More ❯

controls Experience creating and maintaining process documentation Knowledge and understanding of data such that you can identify where data content, data structure and data metadata may not align with the documentation Experience in using these technologies in a Production context: Databricks/Snowflake, DBT, FICO, MongoDB, Python, Azure Data Factory 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 ❯

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 ❯

continuous delivery efforts. Required Skills & Experience 3–5 years of Salesforce development experience, including Lightning and Apex. Proficiency with Salesforce APIs (SOAP, REST, Bulk, Metadata). Strong problem-solving skills with the ability to work independently and in teams. Excellent communication skills and attention to detail. Salesforce Developer certification and More ❯

continuous delivery efforts. Required Skills & Experience 3–5 years of Salesforce development experience, including Lightning and Apex. Proficiency with Salesforce APIs (SOAP, REST, Bulk, Metadata). Strong problem-solving skills with the ability to work independently and in teams. Excellent communication skills and attention to detail. Salesforce Developer certification and More ❯

continuous delivery efforts. Required Skills & Experience 3–5 years of Salesforce development experience, including Lightning and Apex. Proficiency with Salesforce APIs (SOAP, REST, Bulk, Metadata). Strong problem-solving skills with the ability to work independently and in teams. Excellent communication skills and attention to detail. Salesforce Developer certification and More ❯

infrastructure-as-code and CI/CD practices Transforming diverse data formats including JSON, XML, CSV, and Parquet Creating and maintaining clear technical documentation, metadata, and data dictionaries Your previous experience as Principal Data Engineer will include: Strong background across AWS data stack and modern data lake architectures Experience delivering More ❯

communications tools. With Professional Experience of the following: Content Management Systems, ideally open source Web Analytics Search Engine Optimisation External Supplier Management Information Architecture Metadata Specific Experience and Qualifications Desirable: Experience and expertise in using SiteCore CMS and its corporate suite. Experience of working with MS Dynamics CRM Degree in More ❯

communications tools. With Professional Experience of the following: Content Management Systems, ideally open source Web Analytics Search Engine Optimisation External Supplier Management Information Architecture Metadata Specific Experience and Qualifications Desirable: Experience and expertise in using SiteCore CMS and its corporate suite. Experience of working with MS Dynamics CRM Degree in More ❯