1 to 25 of 42 Metadata Jobs in the North of England

technologies Troubleshooting and resolving data-related issues. Architect scalable data solutions to support advanced analytics, machine learning, and real-time processing needs. Design and implement data governance frameworks, including metadata management, lineage tracking, and cataloging. Ensuring data quality and reliability; ensuring data security and compliance, including GDPR. Document data engineering standards, design decisions, and infrastructure setup for operational transparency. Collaborating 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 ❯

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 ❯

discovery, evaluating source systems and APIs, and creating stories for implementation Collaborate with third parties to ensure interoperability and integration compatibility Champion best practices in warehousing techniques (e.g. Kimball), metadata management, and performance optimisation Support delivery through integration testing, reconciliation, and reporting visualisation (e.g. Power BI, Tableau) About You: Proven experience designing data architectures for large-scale platforms and diverse More ❯

discovery, evaluating source systems and APIs, and creating stories for implementation Collaborate with third parties to ensure interoperability and integration compatibility Champion best practices in warehousing techniques (e.g. Kimball), metadata management, and performance optimisation Support delivery through integration testing, reconciliation, and reporting visualisation (e.g. Power BI, Tableau) About You: Proven experience designing data architectures for large-scale platforms and diverse More ❯

optimise resource utilisation, and ensure scalable and budget-conscious data processing workflows. Provide architectural oversight for platform enhancements, integrations, and performance optimisation. Champion best practices in data architecture, including metadata management, data quality, and access control. Engage with stakeholders across business and technology to understand requirements and translate them into scalable platform capabilities. Support the onboarding of new data domains More ❯

in a Data Management capacity, specifically within a Data Quality function. Experience in Data Quality Issue Management. Knowledge and understanding of other Data Management disciplines, such as Data Governance, Metadata Management and Data Architecture. Strong SQL experience. Strong experience in developing dashboards, preferably using tools such as Power BI, or similar. Analytical Skills: Strong analytical and problem-solving abilities. Attention More ❯

Data Management practices across the business Knowledge & Experience Proven experience of working in a Data Management capacity . Knowledge and understanding of data management disciplines, such as Data Governance, Metadata Management, Data Quality and Data Architecture Strong analytical and problem solving skills. Confident at managing relationships and communicating with a variety of technical and non-technical business stakeholders. Experience in 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 ❯

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 ❯

aligned to frameworks such as 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-functional teams to define and More ❯

in accordance with organisational policies around PII data treatments. You will be accountable for the data catalogue and master data model across TVG, defining the key roles to ensure metadata is regularly updated. You will also ensure data stewardship is defined and applied to ensure data is curated and profiled for search and discovery. You will define and measure data More ❯

Data Culture & Self-Service: Support the rollout of BI tooling and self-serve capabilities across the business. Data Quality: Work closely with Data Governance to strengthen data management, including metadata and lineage, and drive data management automation. Impactful Data: Contribute to a strong data culture within Atom, ensuring the quality of BI and reporting for a rapidly growing business What 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 of skills enable transformational change at any scale. You will learn, grow More ❯

importance of data governance and help embed best practices in their day-to-day work. Coordinating and supporting data governance activities such as data quality monitoring, master data and metadata management, while encouraging shared ownership and accountability. Rolling out training, communications and awareness initiatives to improve data literacy and enthusiasm for good data management across teams. Implementing and maintaining governance More ❯

practices in layered data management (e.g., medallion architecture), and establishing monitoring and alerting for compliance. Collaborating with software, engineering, and architecture teams to implement shift-left governance, capturing governance metadata during pipeline and platform development. Embedding and supporting data contract practices to govern Producer/Consumer relationships within the platform. Serving as a subject matter expert on internal data governance More ❯

on at least two Snowflake 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 of data science and visualisation 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 ❯

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 ❯

models to meet customer needs creating technical design documentation that reflects data standards Continually researching emerging technologies and best practices to ensure standards are maintained Understands a variety of metadata management tools and can design/maintain the appropriate metadata repositories to enable the NHSBSA to understand their data assets Collaborate with partners across functions to ensure solutions adhere to … value for money delivery8. Continually researching emerging technologies and best practices to ensure standards are maintained.9. Creating technical design documentation, that reflects the data standards10. Understanding a variety of metadata management tools and can design and maintain the appropriate metadata repositories to enable the organisation to understand their data assets11. Recommending suitable terminology and metadata standards and supporting the management More ❯

Home Office systems, enabling secure, data-driven services that keep the country safe. Working under the vision set by the Principal Data Architect, you'll design robust data models, metadata systems, and governance frameworks to serve diverse stakeholders. Your leadership will span strategic planning, mentoring junior data architects, and aligning technical decisions with business objectives. If you thrive on architecting … platforms, identify gaps, and recommend optimisations whether via cloud-native services, large-scale distributed data platforms, or modern data warehouses. What you will do Design and maintain data models, metadata systems, and data flows that align with the overarching data strategy. Advise and guide data professionals on implementing best practices for data modelling, governance, and metadata management. Collaborate with Technical … e.g. Oracle, SQL Server, Cloud Data platforms) plus real-time data streaming/processing technologies (Kafka, Spark). Data modelling and governance proficiency, covering conceptual, logical, and physical architectures, metadata management. Cloud data technologies: experience architecting solutions on AWS, Azure, or GCP, optimising cost, performance, and security. Proven ability to design and implement data governance tools and data literacy programs More ❯

Home Office systems, enabling secure, data-driven services that keep the country safe. Working under the vision set by the Principal Data Architect, you'll design robust data models, metadata systems, and governance frameworks to serve diverse stakeholders. Your leadership will span strategic planning, mentoring junior data architects, and aligning technical decisions with business objectives. If you thrive on architecting … will evaluate existing platforms, identify gaps, and recommend optimisations whether via cloud-native services, large-scale distributed data platforms, or modern data warehouses. You'll oversee how data catalogues, metadata systems, and governance frameworks are implemented, championing best practices across multiple programs. By leading data design reviews, you'll ensure alignment with department-wide standards, while also balancing performance, scalability … will help streamline Home Office workflows, promote consistent data usage, and foster innovative ways to harness critical data at scale. Person specification Key responsibilities Design and maintain data models, metadata systems, and data flows that align with the overarching data strategy. Advise and guide data professionals on implementing best practices for data modelling, governance, and metadata management. Collaborate with Technical More ❯

Home Office systems, enabling secure, data-driven services that keep the country safe. Working under the vision set by the Principal Data Architect, you'll design robust data models, metadata systems, and governance frameworks to serve diverse stakeholders. Your leadership will span strategic planning, mentoring junior data architects, and aligning technical decisions with business objectives. If you thrive on architecting … will evaluate existing platforms, identify gaps, and recommend optimisations whether via cloud-native services, large-scale distributed data platforms, or modern data warehouses. You'll oversee how data catalogues, metadata systems, and governance frameworks are implemented, championing best practices across multiple programs. By leading data design reviews, you'll ensure alignment with department-wide standards, while also balancing performance, scalability … will help streamline Home Office workflows, promote consistent data usage, and foster innovative ways to harness critical data at scale. Person specification Key responsibilities Design and maintain data models, metadata systems, and data flows that align with the overarching data strategy. Advise and guide data professionals on implementing best practices for data modelling, governance, and metadata management. Collaborate with Technical More ❯

or Dimensional methodologies • Utilize SQL and Python languages to extract, transform, and load data from various sources into Azure Databricks and Azure SQL/SQL Server. • Design and implement metadata driven pipelines to automate data processing tasks. • Collaborate with cross-functional teams to understand data requirements and implement appropriate solutions. • Ensure data quality, integrity, and security throughout the data pipeline. … Azure SQL/SQL Server. • Proficiency in SQL and Python languages. • Hands-on experience in designing and building data pipelines using Azure Data Factory (ADF). • Familiarity with building metadata driven pipelines. • Knowledge of Azure Storage, Medallion Architecture, and working with data formats such as JSON, CSV, and Parquet. • Strong understanding of IT concepts, including security, IAM, Key Vault, and More ❯

modules with Articulate or Captivate. • Legal training experience a plus. • Advanced knowledge of Microsoft Office 2016 in addition to other relevant legal applications (time recording systems, expense management systems, metadata management systems, document comparison systems, workflow management systems, electronic signature systems, PDF converters). • Proficiency in iManage document management system applications (FileSite, iManage, Work 10). • Proficiency using virtual meeting More ❯