1 to 25 of 40 Metadata Jobs in Manchester

for efficiency and accuracy. You 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 like Data Governance, Data modelling More ❯

conceptual, logical and physical data 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 business needs. Data Governance Alignment More ❯

be at the forefront of 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 evolving data landscape, proficiency in … AI and its application. Specifically: 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 learning and advanced analytics to … your drive and ambition as 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 tooling and platform capabilities, such More ❯

be at the forefront of 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 evolving data landscape, proficiency in … AI and its application. Specifically: 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 learning and advanced analytics to … your drive and ambition as 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 tooling and platform capabilities, such More ❯

initiatives, ensuring compliance with organizational 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, completeness, and adherence to governance … to life the outcomes rather 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 as Informatica, Collibra, or Talend. More ❯

implementing data governance frameworks, standards, 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 privacy regulations. Excellent stakeholder management More ❯

troubleshooting issues with tools like 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 a healthcare or telehealth organization More ❯

and governing data platform architectures (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 cloud architectures Knowledge of architecture More ❯

We are seeking a detail-oriented Data Analyst with 1-2 years of experience to join our team. In this role, you will be responsible for analyzing data sets, generating reports, and providing actionable insights to support business decisions. The 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 ❯

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 ❯

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 ❯

meetings to build a network and community of data management SME’s. Knowledge and Skills Proven experience in data governance, data strategy, reference and master data management, data lineage, metadata and data definitions or a related field, preferably in the insurance industry. Experience in a management role is highly desirable. Extensive experience defining data management technologies, processes, building solutions in … and problem-solving skills, with the ability to identify data-related issues, assess risks, and propose effective solutions. Proficiency in data governance tools and technologies, including data quality tools, metadata management systems, and data access controls. Strong communication and interpersonal skills, with the ability to collaborate effectively with stakeholders at all levels of the organisation. Detail-oriented mindset with a More ❯

engagement, and ensure alignment across 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 reports, and machine learning workflows. More ❯

Sussex; Salford Quays, Manchester; and 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 data lifecycle and design principles. More ❯

inventory of the data needed 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 high-level architecture and design More ❯

our clients in the Data Management and Governance team. Our end-to-end experience allows our Data practitioners to advise on Data management and Strategy, Modelling, MDM, Data Quality, Metadata Management, Data Privacy and compliance through to Data Mesh and Marketplace. Our technology and consulting expertise and breadth skills enables transformational change at any scale. If you’re looking for … products Good working understanding of the current leading MDM technologies Well-rounded knowledge of technical and non-technical aspects of data management, including Reference Data Management, Data Quality Improvement, Metadata Management, Data Marketplace, and Data Governance. Experience working in a client-facing/consulting environment to build trusted relationships with client stakeholders and act as a trusted advisor. Excellent communication … that vision Defining data management operating models including Data Governance Frameworks and the roles and responsibilities around ownership of data across an enterprise Defining and implementing reference data and metadata management, including next-generation solutions and strategies, operating models, architecture, and solution components Regulatory and Compliance or Policy work in Data Management and Governance space What’s in it for More ❯

auditability. You’ll aid in the facilitation of the Data Governance Council and the production of KPIs, including updates from other key data functions such as data quality and metadata management. You’ll promote a culture of agile working, accountability, continuous improvement and psychological safety within the team and across the business. You’ll identify engaging mechanisms to communicate key … building strong mutually beneficial relationships across a business. Experience of supporting cultural change in the way data is used and governed in businesses. Some understanding of Data Quality and Metadata Management capabilities would be advantageous. Experience of General Insurance practices and processes would be advantageous. Skills & Qualifications: Pragmatic and Practical with ability to tailor principles and standards to appropriate situations More ❯

DBT models, enforce version control, 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 DBT Cloud experience (macros, tests More ❯

data models to support business 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 data models for reporting and More ❯

build of high performance/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 in SQL CLRs, SSRS, and 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 ❯

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 ❯

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 ❯