101 to 125 of 236 Metadata Jobs in London

ownership models, and quality improvement plans. Familiarity with key data regulations and standards (e.g., GDPR, CCPA, BCBS 239, ISO 8000, DAMA DMBOK). Working knowledge of data quality metrics, metadata management, and stewardship practices. Experience facilitating data forums or councils and shaping policy and data standards collaboratively. Certifications such as CDMP (Certified Data Management Professional) or DCAM, and PROSCI Change More ❯

ensuring reliability and scalability. Collaboration: Engage with internal stakeholders to understand business needs and translate them into technical solutions. Work across teams to improve workflows, standardize testing, versioning, and metadata management processes. We're looking for someone who: Has full-stack engineering experience, including data platforms and building RESTful APIs. Can quickly adapt to unfamiliar tech stacks, including low-code More ❯

ownership models, and quality improvement plans. Familiarity with key data regulations and standards (e.g., GDPR, CCPA, BCBS 239, ISO 8000, DAMA DMBOK). Working knowledge of data quality metrics, metadata management, and stewardship practices. Experience facilitating data forums or councils and shaping policy and data standards collaboratively. Certifications such as CDMP (Certified Data Management Professional) or DCAM, and PROSCI Change More ❯

books A fantastic opportunity for a data-driven, analytical person with an eye for detail and a love of books Independent publisher Scribe UK is seeking a Sales and Metadata Assistant to join our small, dynamic team based in Bloomsbury, with a list that includes prize-winning and bestselling authors. You may have some experience in publishing or bookselling already … interest in industry best practice and proactively research new ways to sell more of our books online. Duties will include: Maintaining and updating Scribe's internal database. Drafting enhanced metadata, such as optimised copy and keywords. Initiating new metadata projects and measuring their impact. Checking ONIX feeds. Managing Scribe's Amazon Advantage account, including correcting errors, issuing takedown notices for … 6pm with a one-hour paid lunch break. To apply, send your CV and covering letter to Molly Slight at by 18 March, with the subject line "Sales and Metadata Assistant application". More ❯

define requirements, refine solutions, and 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 JSON, XML, CSV, and Parquet More ❯

define requirements, refine solutions, and 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 JSON, XML, CSV, and Parquet More ❯

ETL/ELT using Matillion or similar tools. • Strong Python and SQL skills, with a good understanding of data formats • Demonstrated experience in designing data lakes, data pipelines, and metadata management. • Solid understanding of CI/CD pipelines, infrastructure automation, and agile delivery. • Background in consulting, including stakeholder engagement and client-facing delivery. • Proven success in responding to RFI/ More ❯

ETL/ELT using Matillion or similar tools. • Strong Python and SQL skills, with a good understanding of data formats • Demonstrated experience in designing data lakes, data pipelines, and metadata management. • Solid understanding of CI/CD pipelines, infrastructure automation, and agile delivery. • Background in consulting, including stakeholder engagement and client-facing delivery. • Proven success in responding to RFI/ More ❯

a related field Minimum of 10 years in a commercially led sales consulting role Strong understanding of data governance frameworks, best practices and trends Experience with data quality management, metadata management, and data linage Excellent communication and interpersonal skills Ability to work independently and as part of a team Knowledge of Varonis or Big ID Platforms Relevant certifications (e.g., CDMC More ❯

a related field Minimum of 10 years in a commercially led sales consulting role Strong understanding of data governance frameworks, best practices and trends Experience with data quality management, metadata management, and data linage Excellent communication and interpersonal skills Ability to work independently and as part of a team Knowledge of Varonis or Big ID Platforms Relevant certifications (e.g., CDMC More ❯

million-pound projects within consulting or enterprise-level engagements. • Strong stakeholder engagement at CxO or Director level. • Deep experience in cloud data lake architectures, ETL/ELT patterns, and metadata/data quality management. • Expertise in Matillion, Redshift, Glue, Lambda, DynamoDB, and data pipeline automation. • Familiarity with data visualisation platforms such as Quicksight, Tableau, or Looker. • Knowledge of CI/ More ❯

million-pound projects within consulting or enterprise-level engagements. • Strong stakeholder engagement at CxO or Director level. • Deep experience in cloud data lake architectures, ETL/ELT patterns, and metadata/data quality management. • Expertise in Matillion, Redshift, Glue, Lambda, DynamoDB, and data pipeline automation. • Familiarity with data visualisation platforms such as Quicksight, Tableau, or Looker. • Knowledge of CI/ More ❯

million-pound projects within consulting or enterprise-level engagements. • Strong stakeholder engagement at CxO or Director level. • Deep experience in cloud data lake architectures, ETL/ELT patterns, and metadata/data quality management. • Expertise in Matillion, Redshift, Glue, Lambda, DynamoDB, and data pipeline automation. • Familiarity with data visualisation platforms such as Quicksight, Tableau, or Looker. • Knowledge of CI/ More ❯

for critical issues. Work with Technology and market data vendors to get solutions working for clients. Setup and customize our instrumentation and tooling to generate meaningful alerts and gather metadata on network behavior over time. What's required 8-10 years of experience with 3-5 experience in low latency networking Deep understanding of network systems/architectures at a More ❯

skills: 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 ❯

personalization, commerce, lifecycle, and identity. We're changing the world of streaming video and looking for a fearless, talented software engineer to build our vision of a global content metadata management platform to delight our operators and captivate our viewers. As a Lead Software Engineer in the Content Catalog team, you will drive the technical architecture, implementation and improvement of More ❯

Collaborate on AI platform designs leveraging Dell's product and partner ecosystem e.g. NVAIE, Run.ai, H2O.ai, ClearML, OpenShift, etc. Provide expert guidance on modern data stack components: data quality, metadata management, observability, data products, feature stores, with governance and Dell's maturity model frameworks. Stay current on emerging AI and associated Data Management technologies. Actively contribute field feedback to Dell More ❯

monitoring to ensure high availability and traceability. AI & Advanced Analytics Integration: Collaborate with AI/ML teams to enable model training pipelines with robust and reliable data access. Leverage metadata and structured data modeling to support AI model explainability and audit trails. Guide engineering teams on best practices for cloud-based data handling, Terraform, and secure service architecture. Coach junior 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 ❯

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 leading 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 leading More ❯

data organisation standards and migration approach. Phase 2 – Advanced Structuring, Tagging & Data Enablement Continue migrating more complex or unstructured data while refining folder structures and permissions. Implement tagging and metadata strategies to support searchability, governance, and automation. Lay the foundation for reporting by connecting organised data with Power BI dashboards. Collaborate with teams to define key data points for insights … maintain guidelines and best practices for copyright management within the digital archive. PROFILE & KEY SKILLS At least 2 years of experience in digital archiving. Working knowledge of archival standards, metadata, and digital preservation technologies. Experience with digital asset management systems and databases. Data-driven mindset with a strong understanding of how structured, accessible, and scalable data enables reporting, insights, and More ❯

Technical knowledge and underrating of the following is required:- Data Engineering Best Practices, CI/CD for data pipelines, Modular, testable ETL development, Git-based collaboration and branching strategies, Metadata management and data documentation, Reusability and multi-tenancy in data models and Orchestrating data through medallion architecture or equivalent You will ideally have strong communication & coaching skills as with MS More ❯

catalogue service to help users find and understand data, supporting the department's data strategy. Find MoJ Data unites many different MoJ sources in one place, describing datasets with metadata but without including actual data. This is because data owners are responsible for controlling access to potentially sensitive data. . The successful candidate will join the Data Modelling and Engineering More ❯

own the design, creation, and management of extremely large datasets. From Day 1, you will be challenged with a variety of tasks, ranging from creating datasets, reports, dashboards to metadata modeling, pipeline monitoring. You will interact with internal program and product owners, and technical teams to gather requirements, structure scalable and perform data solutions, and gain a deep understanding of More ❯