1 to 25 of 43 Metadata Jobs in Manchester

will provide expert guidance and advisory services to clients on a wide range of data management topics, including data governance frameworks, data quality policies, metadata management strategies, and master data management (MDM) solutions. You will provide strategic direction and leadership in Data Management, providing strategic and implementation consultancy in areas More ❯

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 ❯

and processes that deliver measurable business value. Experience managing data taxonomies and common data models, with a strong understanding of master data management and metadata management. Hands-on experience working with SQL and data tools to interrogate, document, and analyse datasets. Strong understanding of data quality principles, data lineage, and More ❯

SolarWinds DPA, Redgate, or native SQL tools. Experience with database security, including encryption, access control, and auditing. Strong knowledge of data governance and managing metadata (ideally for healthcare data). Required experience: Proven experience as a SQL DBA, with a strong track record of managing mission-critical databases. Experience in More ❯

e.g. broad understanding of Informatica, Collibra, Ab Initio, Snowflake, Databricks) Appreciation of and interest in attaining end-to-end data skills e.g., data quality, metadata, data-mesh, data security, privacy & compliance Experience with Enterprise/platform/application (e.g. cloud/SAP)/data architecture Understanding of public and private More ❯

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 More ❯

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 More ❯

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 More ❯

business, IT, compliance, and security teams. Establish data quality metrics, rules, and monitoring mechanisms across cloud data pipelines and lakehouses. Champion the use of metadata management, data catalogs (e.g., Azure Purview, Unity Catalog), and standardized business glossaries. Provide governance oversight for data sharing and consumption in Databricks notebooks, Power BI More ❯

Guernsey . We also welcome remote applications from further afield. Core skills required: Data & Technology: Passion for data, analytics, and technology, with experience in metadata-driven pipelines. Self-starter: Ability to triage workloads and work autonomously to achieve goals. Mentorship: Ability to mentor and inspire colleagues. Data Lifecycle: Understanding of More ❯

to implement solutions. Translating business requirements into databases, data warehouses, and data streams. Analysing, planning, and defining data architecture framework, including security, reference data, metadata, and master data. Helping to maintain the integrity and security of the company’s database. Partner with technical peers to provide technical thought leadership on More ❯

and automate testing. CI/CD for data – Embed automated build, test, and deploy in every pipeline; no manual touches. Governance & quality – Enforce lineage, metadata, and security controls as code—no exceptions. REQURIMENTS Mastery of SQL on multi-terabyte datasets. Proven Snowflake engineering, ideally across multiple business domains. Hands-on More ❯

intelligence and analytics. Translating raw data into model-ready structures, ensuring compatibility with downstream tools and users. Documenting data models, definitions, data flows, and metadata in a structured and accessible manner. Your skills 5+ years experience in data modelling and scalable data systems. Proven track record of building enterprise-grade More ❯

high volume database architectures Highly proficient in TSQL including Stored Procedures, Views, Triggers, and UDF's Have in-depth knowledge of SQL Internal Architecture (Metadata, Indexes, Statistics etc.) Skilful in performance tuning (using all available tools/techniques), refactoring existing SQL, monitoring high availability clusters and patching live systems Experienced 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 ❯

implementations. Expertise in data architecture concepts such as dimensional modelling, data vault, data mesh. Understanding 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 Experience in leading data platform development teams Knowledge More ❯

we should manage information and data across our document management systems and connected environments. Conduct audits to ensure compliance with information governance procedures, including metadata, access and storage policies. Provide training and support that develops others. Champion a positive and constructive culture which inspires and motivates individuals. The skills, knowledge More ❯

as marketing communications tools. With Professional Experience of the following: Content Management Systems, ideally open source Web Analytics Search Engine Optimisation External Supplier Management 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 ❯

Policies. To be successful you will need: • Proven experience in a similar senior technical role • To understand the importance of digital asset management and metadata, i.e. you ‘get the point’ of LibraryLink, preferably derived from direct experience of managing significant digital collections • A thorough understanding of digital asset formats and More ❯

Policies. To be successful you will need: • Proven experience in a similar senior technical role • To understand the importance of digital asset management and metadata, i.e. you ‘get the point’ of LibraryLink, preferably derived from direct experience of managing significant digital collections • A thorough understanding of digital asset formats and More ❯

Policies. To be successful you will need: • Proven experience in a similar senior technical role • To understand the importance of digital asset management and metadata, i.e. you ‘get the point’ of LibraryLink, preferably derived from direct experience of managing significant digital collections • A thorough understanding of digital asset formats and 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 ❯

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 ❯

Support product launch content, FAQs, and feature highlight pages Format and proof content for consistency, clarity, and alignment with product messaging Assist with imagery, metadata, and basic SEO updates Performance Analysis: Track KPIs for social and email campaigns using standard templates Help prepare campaign wrap-ups, learnings, and performance summaries More ❯

guiding organisations in effectively managing and leveraging their data assets to drive strategic business outcomes. With a focus on data quality, security, governance, and metadata management, your expertise will be critical in helping clients navigate the complexities of modern data landscapes. The role requires someone with a grasp of the … You will provide guidance and advisory services to clients on a wide range of data management topics, including data governance frameworks, data ethics policies, metadata management strategies, and master data management (MDM) solutions. You will be at the forefront of integrating cutting edge technologies into data management processes, leveraging machine … well as relevant experience and success in industry or professional services. Technical Proficiency: Proficiency in data management disciplines, including data quality, security, governance, and metadata management. Experience should also encompass data lineage, taxonomies, cataloguing, and metadata management. Domain Knowledge: Awareness of the data technology landscape, including knowledge of data management More ❯