1 to 25 of 43 Metadata Jobs in the City of London

knowledge of SQL, Python, and relevant data engineering frameworks (e.g. Databricks, Synapse, Snowflake, Redshift). Experience designing data platforms leveraging PaaS and SaaS solutions. Solid understanding of information governance, metadata management, and master data management principles. Experience leading data design across full project lifecycles (Discovery, Alpha, Beta, Live). Strong understanding of API design, event-driven architecture, and microservices principles. More ❯

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 ❯

and data governance Implement data quality monitoring and alerting processes. Work with data governance teams to ensure compliance with data governance policies and standards. Implement data lineage tracking and metadata management processes. Collaboration & Communication: Collaborate closely with data scientists, economists, and other technical teams to understand data requirements and translate them into technical solutions. Communicate technical concepts effectively to both 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 ❯

non-technical stakeholders. Nice to Have: • Experience in energy or financial trading environments. • Familiarity with cloud-based data platforms (e.g. Databricks, Snowflake). • Knowledge of data governance, lineage, and metadata management. • Exposure to data cataloguing tools and data quality frameworks. 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 ❯

/or Scala. Expertise in ETL/ELT processes, data warehousing, and data mesh architectures. Familiarity with AI/ML concepts and their application in data analytics. Experience with metadata management, data lineage tracking, and data cataloguing. Knowledge of serverless data processing, event-driven architectures, and modern data stacks. 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 ❯

squad Product Manager and Scrum Master to increase engineering ways of working, leading to higher quality/faster delivery. Data Management and Governance Practice Data Lifecycle Management through Global Metadata and Access Control Management. Ensure all data models and assets have Data Quality Management standards implemented. Design all new data models in collaboration with Data Domain Leads and Architects. Partner 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 ❯

reference architecture into solution design across domains (Commercial, Supply Chain, Enabling Functions). Partner with domain architects, integration, and cybersecurity teams to ensure alignment of data flows, controls, and metadata management. Support the Architecture Review Board (ARB) and data governance forums with clear, structured design artefacts. Governance & Standards Define and maintain solution patterns for data ingestion, transformation, analytics, and sharing. … Databricks, SAP, Salesforce, Informatica, Collibra Skills and expeirence: Essential Proven experience designing enterprise-scale data and analytics solutions across hybrid cloud environments. Strong understanding of data modelling, data integration, metadata management, and data governance. Experience with modern data platforms such as Azure Data Lake, Databricks, Power BI, and SAP BTP. Solid grasp of enterprise integration patterns (APIs, streaming, ETL/ More ❯

navigate through complex systems landscapes Desirable Skills Experience with CDM frameworks or canonical data models. Knowledge of regulatory reporting requirements in UK banking Experience with data catalogue tools and metadata management Product specific knowledge across lending, deposits, or treasury 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 ❯

. Analytical mindset with experience tracking KPIs and reporting on progress. Proactive and self-driven, with the ability to work independently and collaboratively. Desirable: Experience with content management systems , metadata , or media platform technologies . 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 ❯

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 ❯