1 to 25 of 62 Metadata Jobs in the North of England

models to provide structured view of data domains, entities, and their relationships. Data Documentation: Create and update data dictionaries, entity-relationship diagrams (ERDs), and metadata to ensure clarity and consistency. Stakeholder Collaboration: Collaborate closely with business stakeholders to understand data requirements and translate them into structured data models that meet 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 ❯

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 ❯

TOGAF or Zachman. Key Responsibilities Design and implement hybrid data architectures (cloud and on-prem) to support business strategy. Lead data governance initiatives, including metadata management, data quality, and policy enforcement. Identify and address areas of technical debt within data systems, driving long-term sustainability and agility. Collaborate with cross More ❯

TOGAF or Zachman. Key Responsibilities Design and implement hybrid data architectures (cloud and on-prem) to support business strategy. Lead data governance initiatives, including metadata management, data quality, and policy enforcement. Identify and address areas of technical debt within data systems, driving long-term sustainability and agility. Collaborate with cross More ❯

TOGAF or Zachman. Key Responsibilities Design and implement hybrid data architectures (cloud and on-prem) to support business strategy. Lead data governance initiatives, including metadata management, data quality, and policy enforcement. Identify and address areas of technical debt within data systems, driving long-term sustainability and agility. Collaborate with cross 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 ❯

in modernisation and large-scale migration projects. Proven ability to coach and mentor others effectively in a senior capacity Demonstrable experience designing and managing metadata-driven frameworks using Azure Data Factory and Azure Databricks. Competence in and hands-on experience managing Databricks environments and developing lakehouse architectures with a focus More ❯

Expertise in data architecture concepts such as dimensional modelling, data vault, data mesh Understanding of data management and governance concepts such as data quality, metadata management, etc. Experience in designing data engineering solutions using open source and proprietary cloud data pipeline tools Ability to implement data processing and transformation pipelines 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 ❯

embedded AI and machine learning. Deliver data solutions focused on business fulfilment, operational efficiency, and measurable impact. Champion best practices in data quality, governance, metadata, and regulatory compliance. Partner across functions and lead a high-performing data engineering team, fostering innovation and agility. Skills and experience we're looking for 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, 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. More ❯

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. More ❯

ideas and experiences, and are always learning, experimenting and applying tuition value into everything we do. As a Senior Data Engineering Consultant in the Metadata Management Program, you'll contribute to the design, development and support of a variety of integration and process automation techniques to ensure accurate consumption and … ingestion of business and technical metadata to and from many systems. You will design and develop APIs to enable programmatic retrieval and management of metadata by consumers external to the metadata management platform. In addition you will ensure reliable and consistent processing to our Collibra cloud platform and automate information … our reputation of being trustworthy through transparent communication. What you'll do Work with business stakeholders on the adoption and onboarding of the TELUS Metadata Management Tool powered by Collibra (training and technical support) Collaborate with business stakeholders to define integration approaches, identify the best techniques, ensure capture and storage More ❯

policies and regulatory standards. Governance Framework Development: Develop and maintain a comprehensive data and records governance framework aligned with regulatory requirements and industry standards. Metadata Management: Manage and maintain metadata to enhance data discoverability, consistency and accuracy Data Quality Assurance: Conduct data validation and data quality checks to ensure accuracy … than just the steps to achieve them. Technical and Analytical Skills: Knowledge of data governance frameworks and best practices, including data stewardship, data lineage, metadata management, and compliance with regulatory requirements. Experience in implementing and maintaining data governance policies and procedures. Proficiency in using data management and governance tools such 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 ❯

to inform campaign strategies. Analyse performance Identify and resolve issues such as crawl errors, broken links, and duplicate content. Support on-page optimisation including metadata, internal linking, and content refinement. Stay on top of SEO best practices, algorithm updates, and industry changes. Required Experience & Skills 2+ years of experience in More ❯