1 to 25 of 48 Metadata Jobs in Central London

cloud-native orchestration services Event streaming:Kafka and cloud-native event-streaming technologies Data modelling:Dimensional,analyticaland domain-oriented modelling Data governance:Catalogue, metadata, lineage, quality, security,privacyand access controls Data products:Reusable, discoverable and well-governed dataproductsand marketplaces DataOpsand observability:Testing, monitoring, operationalcontrolsand platform reliability Platform engineering:Terraform, CloudFormation ...

data, classification, sensitivity labelling and information lifecycle (e.g. Microsoft Purview). Understanding of what makes a data estate 'AI‐ready' – content quality and structure, metadata, permissions and oversharing risk, unstructured data preparation, and retrieval patterns that underpin Copilot and agentic AI. Knowledge of applied AI and its commercial application – Microsoft ...

Tables and StructuredStreaming. Optimize Databricks resources forhigh-volume data processing without exceeding budget. Oversee the use of Databricks UnityCatalog for data governance, lineage, and metadata management. Develop and enforce robust datagovernance policies, ensuring compliance, security, and data quality. Monitor data pipeline performance andproactively resolve production issues. Collaborate with cross-functionalteams ...

/ELT processes and dimensional modelling. Experience designing data models and documentation that are usable by AI/LLM-based analytics tools (semantic layers, metadata, access controls). In-depth knowledge of cloud data infrastructure, ideally GCP (Azure or AWS also considered). Excellent problem-solving skills and the ability ...

lineage and data observability core parts of how every data product is built and run, rather than controls added after delivery. Include data contracts, metadata and certification standards in every data product, so each one is discoverable, trusted and auditable. Ensure data products and pipelines are secure and compliant ...

Data Factory, Azure Data Lake and Power BI. Design scalable data lake, lakehouse, data warehouse and data integration solutions. Establish data governance, security, quality, metadata and lineage using Microsoft Purview. Provide architecture leadership for Data & AI, analytics and Generative AI initiatives. Lead architecture reviews, technology selection and technical assurance across ...

checks, lineage, cataloguing and data observability into every pipeline and data product from the start, rather than adding them after delivery. Implement data contracts, metadata and certification standards so each data product is discoverable, trusted and auditable. Apply security and compliance by design, including role-based access control, secrets management ...

minimal redundancy. Partner with application development, architecture and business teams to define data strategies, data flows and source-to-target mappings. Develop and maintain metadata, data dictionaries and documentation to support enterprise data governance. Optimise and enhance existing data models to support new business initiatives and improve performance. Define … Experience working with relational databases and modern NoSQL platforms. Knowledge of ETL processes, data integration and data transformation techniques. Experience defining enterprise data standards, metadata management and naming conventions. Experience documenting data architecture, business rules, data dictionaries and technical specifications. Familiarity with UML and business process modelling techniques. Experience facilitating ...

platform engineering and optimisation. * Extensive experience building dbt projects from the ground up. * Strong SQL and data warehousing expertise. * Experience designing CDC, ELT and metadata-driven ingestion frameworks. * Solid understanding of CI/CD, Git and infrastructure as code practices. * Python development experience for data engineering and automation. * Experience leading ...

through discovery, design, build, validation and release, while maintaining clear separation between product outcomes and delivery execution. Data Governance, Quality & Controls: Define ownership, lineage, metadata, access controls, reconciliation and quality expectations so that premium data is trusted, auditable and suitable for authorised use. Adoption & Value Realisation: Define success measures, monitor ...

domain including but not limited to: Data Strategy, Business Intelligence and Analytics, Data Management, Data Modelling, Data Quality, Data Governance, Master Data Management and Metadata Management. Ability to build relationships and influence C suite stakeholders in a Strategy Consulting context Subject Matter expertise in AI with a deep understanding ...

ownership and stewardship models, target operating models, data architectures and implementation roadmaps. Strong understanding of master data management, data quality, data migration, data integration, metadata, reporting and analytics, with the ability to connect these disciplines into a coherent client solution. Experience leading large, distributed and multidisciplinary delivery teams, including onshore ...

hands‐on experience with IBM Cognos Analytics . Strong experience in Cognos Development and Administration . Cognos report development and troubleshooting. Framework Manager/metadata modelling knowledge. Cognos security, users, groups, roles, and permissions. Report scheduling, jobs, deployments, and environment management. Performance monitoring and troubleshooting. Strong SQL and relational database ...

data architecture, ensuring consistency across initiatives. Drive best practice in areas including: Data architecture Entity resolution Master Data Management (MDM) Data governance Data quality Metadata management Produce high-quality architecture artefacts, standards and design documentation. Provide architectural assurance and governance for solution designs. Work closely with senior business and technical ...

Services is expanding its internal data engineering capability and seeks a Senior Data Engineer with Databricks and Azure data services expertise to design scalable, metadata-driven data solutions. You will own ingestion frameworks, collaborate with stakeholders, and mentor junior engineers while delivering robust data pipelines. The role emphasizes ownership ...

into data solutions Experience working with data owners and data engineering teams to source, transform, and curate data Solid understanding of data quality and metadata management, with proficiency in SQL and Python Ability to operate effectively in a matrixed environment and influence stakeholders across business, data, and technology functions Understanding ...

working in a data or analytics context, such as an enablement lead, adoption lead, or product operations partner. Familiarity with data cataloguing, registry, and metadata management practices and how Data Product Managers should document and operationalize them. Experience building communities of practice, training curricula, onboarding paths, and sustained enablement models ...

industry experience. Strong understanding of LLMs (including tool use and evaluation), knowledge graphs, and multimodal data. Comfort working with biological data (omics and experimental metadata) and collaborating with domain experts. Proficiency in Python, with substantial experience in modern ML and data science tooling. What will make you stand ...

solutions that improve researcher productivity and trust. Contribute to experimentation around prompt engineering, context management, grounding strategies, and hallucination mitigation. Support integration of scientific metadata, ontologies, and knowledge assets into AI workflows. Search, Retrieval & RAG Systems Design and optimize search and retrieval pipelines, including lexical, vector, and hybrid retrieval approaches. ...

self-service journeys and community page architecture. An understanding of Salesforce DevOps practices would also be beneficial, including release planning and the impact of metadata dependencies on functional design. Familiarity with Salesforce's three major annual releases and the importance of pre-release impact assessments would be advantageous, as would ...

documentation, so colleagues can find what they need and use our systems consistently. Lead a full readiness review of SharePoint & Notion, covering structure, permissions, metadata and suitability for AI-assisted knowledge retrieval - and use this as a live testing ground for how AI tools perform against real company data. ...

primarily on the App Store and Play Store. Develop and execute ASO strategies to enhance app visibility, increase downloads, and improve conversion rates. Optimise metadata including titles, descriptions, keywords, and visual assets, to boost visibility, rankings, and user acquisition. Run A/B tests on store assets and analyse results ...

/ML, NLP, and generative AI solutions across teams, including LLM powered workflows, RAG systems, retrieval, ranking, and recommendation capabilities. Guide how scientific metadata, ontologies, taxonomies, and knowledge assets are integrated into AI workflows, favouring reusable, consistent patterns over one off implementations. Review code, architecture, and technical decisions across teams ...

NoSQL solutions Cloud Architecture: AWS Associate level certification or equivalent experience building serverless solutions. DESIRED BUT NOT REQUIRED: Knowledge of media processing workflows (transcoding, metadata pipelines). Django experience or strong desire to learn. Familiarity with Polaris by Fabric Insights (formerly known as TMT) or Rally by SDVI, or comparable ...

securely, accurately and with minimal disruption to the firm. What you'll do Assess the current iManage Work, SPM and IRM estate, including libraries, metadata, security models, workspaces, templates and integrations, and help define the migration approach, sequencing, cut-over and rollback plans. Plan, run and validate data and configuration ...