24 of 24 Remote Metadata Jobs in the City of London

operational leads, and other stakeholders, coaching and supporting a data-driven culture, including KPI definition and reporting frameworks. Accountable for data extraction, transforming JSON & XML, utlising high experience within metadata management. Collaborate with data engineers to develop data, enrich product design and integrate data for predictive models or machine learning. Deliver well-defined, transformed, tested, documented, and code-reviewed datasets More ❯

roadmaps, and innovation. ETL/ELT & Data Engineering – Provide oversight on robust data pipeline and integration designs using SSIS, ADF, Informatica, or IBM DataStage. Data Governance & Quality – Define governance, metadata, and quality frameworks using tools such as Unity Catalog, Profisee, Alation, or DQ Pro. Technical Leadership – Mentor cross-functional teams and embed best practices and innovation across projects. Industry Insight More ❯

e.g., Git, Azure DevOps). Desirable Exposure to Python or Scala for data engineering tasks. Knowledge of Power BI or other visualisation tools. Experience with data governance frameworks and metadata management. If you’re interested, get in touch ASAP with a copy of your most recent and up-to-date CV and email me at b.forbes@tenthrevolution.com or you can More ❯

that enable scalability and cross-business alignment. Design, build, and optimise data platforms leveraging cloud-native technologies (AWS, Azure, or GCP). Integrate key data management capabilities, including governance, metadata, privacy, and cataloguing. Act as a trusted advisor, translating complex technical concepts into clear business outcomes. Required Skills and Experience 10+ years of professional experience in data architecture, engineering, or More ❯

In-depth knowledge of database design, structures, and data mining techniques. Skilled in Kimball methodology and Data Vault modelling approaches. Strong understanding of database fundamentals and practical experience designing metadata-driven ingestion and transformation pipelines. Hands-on experience with Master Data Management (MDM), data cataloguing, and data lineage tracking. Advanced proficiency with Microsoft Azure data services, including Databricks, Azure Data More ❯

glossaries, and implement robust data quality frameworks Identify and manage internal and external data sources, ensuring strong access and sharing controls. AI & Technology Enablement Build tools and processes for metadata management, data quality, and data sharing. Leverage AI and automation tools to improve data governance capabilities. Use Python, SQL, PySpark, Power BI, and related tools for data processing and visualisation. More ❯

non-technical stakeholders. Expertise in data modelling to at least 3NF, database structures, and data mining. Proficiency in Kimball methodology and Data Vaults . Strong understanding of database fundamentals, metadata-driven ingestion, and transformation pipelines. Experience with Master Data Management (MDM) , data cataloguing, and managing data lineage. Familiarity with Azure Cloud Services , including DataBricks, Azure Data Factory, Azure SQL, CosmosDB More ❯

user needs when designing deliverables. Experience in designing technology solutions with complex end-to-end data flows. Experience in implementing data governance, including data cataloging, data lineage tracking, and metadata management to ensure data accuracy, accessibility, and compliance. Preferred: Experience with Databricks Understanding of how data platforms interact with marketing and customer engagement platforms. Knowledge of service-oriented architecture, including More ❯

knowledge of Azure Cloud Services (DataBricks, ADF, Azure SQL, CosmosDB). Proficiency in Kimball methodology and Data Vaults. Experience with MDM, data cataloguing, and lineage management. Skilled in designing metadata-driven ingestion and transformation pipelines. Proven track record in agile delivery environments (SCRUM, PRINCE2, Lean). Excellent communication skills-able to bridge technical and non-technical audiences. Passion for emerging More ❯

/LODs, and voxel/point-cloud conversions. Implement labeling and QA workflows, manage external annotation vendors, and automate quality checks to ensure scalable, reliable datasets. Define schemas and metadata for digital assets, maintaining catalogues, lineage, and versioning to ensure reproducibility and governance. Enforce data quality, drift detection, and compliance (GDPR/COPPA), including watermarking and traceability to safeguard IP More ❯

modular architecture. WebGL or Canvas-based rendering expertise for interactive medical or imaging UIs (LOD layers, measurement overlays, viewport coordination). Deep knowledge of DICOM/DICOMWeb workflows, imaging metadata, multi-series coordination, and medical data privacy considerations. Tooling fluency: Webpack 5, npm scripts, Dockerised deployments, Jest testing, ESLint/Prettier automation, and scalable state management patterns. Secure OAuth/ More ❯

Key Responsibilities: - Data & Retrieval: Build ingestion pipelines for structured and unstructured data; design retrieval-augmented generation (RAG) systems; manage vector and keyword indexes; develop NLP and recommendation systems; implement metadata and tagging frameworks. - LLM & ML Applications: Develop and maintain ML and LLM models; build LLM apps with LangChain/LangGraph; apply multimodal AI, prompt engineering, fine-tuning, and model optimization More ❯

content deliverables are executed efficiently and support visibility improvements across the company and the Research & Policy Center (RPC) web properties. Key Responsibilities: Implement on-page SEO best practices including metadata, internal linking, keyword optimization and structural content updates Support technical SEO delivery and optimization across high-priority pages, ensuring crawlability, indexation, and site health Assist in implementing schema markup, structured More ❯

Provide advisory services - designing and implementing data and AI governance frameworks and practical, proportionate controls. Define and assure compliance against data and AI standards, including data quality, lineage, and metadata management. Help build and expand the data and internal audit practice , developing new propositions that meet client and market needs. Drive business development , building trusted client relationships and contributing to … Audit concepts, designing AI-enables audit workflows and automation tools to delver efficient saving audit cycles is a must have. Deep understanding of data governance, data quality, lineage, and metadata management is a must have. Strong knowledge of AI assurance frameworks and regulatory expectations is a must have. Proven experience driving business development and building long-term client relationships is More ❯

with developers to ensure SEO best practices are integrated into website architecture, platform migrations, and new site builds. Collaborate with the content team to optimise on-page elements, including metadata, internal linking, and keyword targeting. Analysing, sourcing and checking links for our link building strategy. Keyword research, search intent modelling and keyword mapping to achieve high rankings. Stay updated with More ❯

which is an online learning platform that employees have access to and which features over 200,000 courses on a wide variety of business topics. Ranked #1 in AI Metadata & Search by Forrester, Aprimo sits on the cutting-edge of technology and is paving new paths forward by incorporating AI (artificial intelligence) into our product offerings. We offer generative AI More ❯

software house that is developing a highly complex network cyber security platform; the platform monitors network protocols in real-time, parses the commands and data structures to extract key metadata which is then analysed by in-house algorithms and allows customers to detect hackers, malware, data leakage and other malicious activity. As a Software Developer you will focus on enabling More ❯

software house that is developing a highly complex network cyber security platform; the platform monitors network protocols in real-time, parses the commands and data structures to extract key metadata which is then analysed by in-house algorithms and allows customers to detect hackers, malware, data leakage and other malicious activity. As a C++ Developer you will focus on enabling More ❯

the following: Designing and implementing both relational (3NF) and dimensional (star/snowflake) data models for large-scale financial systems and analytical platforms. Working hands-on with ETL design, metadata management, and data cataloguing , ensuring robust data lineage and governance. Building standards and frameworks that define how data is structured and managed across multiple platforms. Collaborating closely with architects, data … financial services environments. Strong expertise in ERWin (or equivalent tools such as Sparx, RSA, Visio). Hands-on experience with relational and dimensional modelling methodologies. Understanding of ETL frameworks, metadata management, and data governance principles. Ability to communicate complex data concepts to senior stakeholders in client-facing settings. For Principal level: prior experience in thought leadership, client relationship management, or More ❯

across the ecosystem. Key Responsibilities: Define and document conceptual, logical, and physical data models for geospatial and land data domains using EA Sparx Establish data standards, attribute schemas, and metadata frameworks to drive consistency across a common spatial framework Design data management solutions that support both batch and streaming processes, with clear handling of current and historical data Conduct gap … structures Experience Required: Proven experience as a Data Architect within geospatial or land data environments (public sector preferred) Expert in EA Sparx for modelling and documentation Strong knowledge of metadata standards (ISO 19115, INSPIRE, GEMINI) and data governance frameworks Understanding of coordinate reference systems, topology, and geometry validation Experience conducting data quality, completeness, and consistency assessments Strong communication and collaboration More ❯

and implementation of robust design guardrails, standards, and policies that balance both functional and non-functional requirements while managing relevant risks in system delivery. Demonstrate expertise in data models, metadata management, and data dictionaries. Possess in-depth knowledge of data systems and architectures, with an understanding of best practices for data management and maintenance. Utilize multiple data modelling and design … tools and methodologies. Stay abreast of advancements in digital information technology and their potential applications. Apply advanced analytics practices and methodologies. Proven experience in designing data models and metadata systems. Skilled at interpreting organizational needs and translating them into effective data solutions. Adept at providing oversight and expert guidance to data architects involved in the design and production of data More ❯

and implementation of robust design guardrails, standards, and policies that balance both functional and non-functional requirements while managing relevant risks in system delivery. Demonstrate expertise in data models, metadata management, and data dictionaries. Possess in-depth knowledge of data systems and architectures, with an understanding of best practices for data management and maintenance. Utilize multiple data modelling and design … tools and methodologies. Stay abreast of advancements in digital information technology and their potential applications. Apply advanced analytics practices and methodologies. Proven experience in designing data models and metadata systems. Skilled at interpreting organizational needs and translating them into effective data solutions. Adept at providing oversight and expert guidance to data architects involved in the design and production of data More ❯

dashboard visualisations. Leading configuration and governance of a headless CMS (Contentful, Contentstack, or Sanity preferred). Defining content types, relationships, and editorial workflows for scalable publishing. Developing taxonomies and metadata frameworks to link content with structured data sources. Architecting content systems that support delivery across web, PDF generation, and emerging channels. Enabling content reuse and personalization through modular design and … standards , editorial guidelines, and documentation. What you’ll bring Proven experience with headless CMS platforms and content modeling — ideally with examples of automated publishing. Deep expertise in taxonomy development , metadata strategy, and structured content. Strong understanding of multichannel publishing workflows and content reuse strategies. Familiarity with JAMstack principles and modern web development. Excellent communication skills and the ability to collaborate More ❯

dashboard visualisations. Leading configuration and governance of a headless CMS (Contentful, Contentstack, or Sanity preferred). Defining content types, relationships, and editorial workflows for scalable publishing. Developing taxonomies and metadata frameworks to link content with structured data sources. Architecting content systems that support delivery across web, PDF generation, and emerging channels. Enabling content reuse and personalization through modular design and … standards , editorial guidelines, and documentation. What you’ll bring Proven experience with headless CMS platforms and content modeling — ideally with examples of automated publishing. Deep expertise in taxonomy development , metadata strategy, and structured content. Strong understanding of multichannel publishing workflows and content reuse strategies. Familiarity with JAMstack principles and modern web development. Excellent communication skills and the ability to collaborate More ❯