1,001 to 1,025 of 1,150 Data Modelling Jobs in London

maintain the metamodel to support current and emerging business needs Create and evolve novel metadata assets, including controlled vocabulary, mapping, lineage, transformation, and data content descriptions Build and maintain mappings between metadata and software engineering assets Design and maintain domain-specific languages that represent metadata, including their underlying structures … Prototype and maintain tooling that captures, integrates, validates, transforms, generates code from, reports on, and presents metadata Engage with customers, the Chief Data Office, product owners, Information Architects, development teams, and other stakeholders to communicate the Information Architecture vision and standards, and support effective implementation Architect metadata and language ...

rapid expansion of AI and automation, the future of work has never been more challenging for organizations. Beamery’s unique jobs, skills and tasks data platform helps organizations navigate these challenges and make more informed decisions across Talent Lifecycle Management. Our solutions power recruitment, mobility, upskilling, diversity, work architecture … document agent architectures so workflows are reproducible and maintainableWhat we're looking forStrong SQL. You'll be writing it daily, against messy real-world data, and you should be comfortable doing so as a stand-alone SME.A track record in product analytics, ideally in a B2B SaaS environment, ideally ...

technical leader across our marketing and growth web surfaces. This is a cross-functional engineering leadership role, partnering with marketing, analytics, design, data science, and engineering teams — to ensure our web stack is modern, performant, measurable, and delightful to build on. You’ll operate with a high degree … long-term technical strategy for the web team, focusing on scalability, performance, developer productivity, observability, and system reliability.Collaborate closely with marketing, design, analytics, and data science stakeholders to ensure the platform supports their goals with accuracy, performance, and agility.Lead and influence the design and implementation of MarTech systems ...

including revenue growth, cost optimization, and operational improvements for software and high-tech companies.Leverage AI tools to accelerate analysis, synthesize complex information, and support data-driven recommendations for clients,exercising sound judgment in evaluating outputs.Apply AI technologies (e.g., generative AI, automation tools, data models) to enhance insights, improve … outcomes.Practice DevelopmentDevelop and enhance West Monroe’s M&A methodologies, tools, and frameworks to address the unique needs of high-tech and software clients.Build data-driven assets and analysis frameworks to evaluate software and high-tech businesses effectively.Collaborate with cross-functional teams to strengthen delivery capabilities, including technology, operations ...

technical leader across our marketing and growth web surfaces. This is a cross-functional engineering leadership role, partnering with marketing, analytics, design, data science, and engineering teams — to ensure our web stack is modern, performant, measurable, and delightful to build on. You’ll operate with a high degree … term technical strategy for the web team, focusing on scalability,performance, developer productivity, observability, and system reliability. Collaborate closely with marketing, design, analytics, and data science stakeholders toensure the platform supports their goals with accuracy, performance, and agility. Lead and influence the design and implementation of MarTech systems ...

applications and services that support the development and testing of our autonomous driving models. These systems help researchers and engineers manage workflows spanning data, model training, experiment scheduling, evaluation, and on-road testing.You will work across the full technology stack, creating intuitive web applications and the scalable backend services … APIs, and data models that power them. You will take ownership of significant technical areas, from understanding user needs and shaping solutions through to implementation, deployment, observability, and production support.This is a hands-on engineering role with meaningful technical leadership responsibilities. You will influence technical decisions within the team ...

Understand defence and security users' needs in situational awareness and force protection, then scope solutions Design, build, and deploy Palantir Foundry data pipelines, ontology models, and operator-facing applications Integrate live intelligence into existing workflows, common operating pictures, and command-and-control tooling Build and tune custom widgets … more of professional software or forward-deployed/solutions engineering experience shipping systems into production Ability to quickly learn unfamiliar platform architectures and data models Experience with containers (Docker or Podman), orchestration (Kubernetes or OpenShift), Linux, networking, and on-premise fundamentals Ability to work with technical and non-technical ...

Environment: Agile, cross-functional delivery environment driving robust ALM practices, enterprise-grade REST/Graph API integrations, and secure LLM-powered applications with enterprise data grounding. Requirements: Advanced hands-on expertise in Microsoft Copilot Studio, Power Automate (Cloud & Desktop), Power Apps (Canvas & Model-Driven), Dataverse data modeling ...

Environment: Agile, cross-functional delivery environment driving robust ALM practices, enterprise-grade REST/Graph API integrations, and secure LLM-powered applications with enterprise data grounding. Requirements: Advanced hands-on expertise in Microsoft Copilot Studio, Power Automate (Cloud & Desktop), Power Apps (Canvas & Model-Driven), Dataverse data modeling ...

crypto transactions card spends Optimize list sources for sanctions, PEP and adverse media aligned with Ebury’s different compliance frameworks and risk appetite. Use data and research to identify pain points, improve fuzziness scores. Leverage AI to improve screening precision, including risk-based matching, prioritization and alert scoring, suppression … duplication strategies. Partner with first line and second line operational and compliance teams to ensure controls are effective, explainable, audit‐ready. Partner with Data Science teams on predictive AI models for transactions; model inputs, outputs, and thresholds (you are not expected to build machine learning models, but you must ...

infrastructure: risk management and trust building, delivered by AI agents, for a world increasingly run by them. Their agents sit on top of proprietary data and reassess continuously rather than at fixed checkpoints - so customers spend their time deciding and acting on what matters, not assembling evidence … work it produces. You own that layer. What you'll do Build and own backend services across the platform - APIs, async workflows, and data models - with the same care you bring to the infrastructure under them Shape the Azure foundations: Container Apps, Service Bus, Front Door, Entra ...

model and the team that runs it, working hand in glove with the commercial organisation, Workforce Management, the trading leads, and the analytics and data teams that support the whole function.Own GTM operations: define the go-to-market playbook, pipeline and commercial process across both marketplaces, and, with commercial … base behind comp and performance decisions. You own the operational read and set the requirement; you partner with Finance and the central analytics and data teams, who own the build.Own program management: run the commercial PMO, from end-to-end discovery and sizing of new initiatives through governance (charters ...

crypto transactions card spends Optimize list sources for sanctions, PEP and adverse media aligned with Ebury’s different compliance frameworks and risk appetite. Use data and research to identify pain points, improve fuzziness scores. Leverage AI to improve screening precision, including risk-based matching, prioritization and alert scoring, suppression … duplication strategies Partner with first line and second line operational and compliance teams to ensure controls are effective, explainable, audit-ready. Partner with Data Science teams on predictive AI models for transactions; model inputs, outputs, and thresholds(you are not expected to build machine learning models, but you must ...

implementation of Salesforce Media Cloud solutions, ensuring alignment with client requirements. Configure and customize Salesforce Media Cloud, including: Understanding and leveraging the Media Cloud data model. Building Salesforce screen and record-triggered flows. Creating validation rules, custom fields, and duplicate rules. Configuring record sharing and security settings. Integrate Salesforce … monetize content space. Technical Skills In-depth knowledge of Salesforce Media Cloud capabilities and limitations. Proficiency in Salesforce configuration, customization, and integration, including: — Salesforce data model and object relationships. — Screen and record-triggered flows. — Validation rules, custom fields, and duplicate rules. — Record sharing and security settings. — Familiarity with related ...

scalable software and systems, architect low latency infrastructure solutions, proactively guard against cyber threats, and leverage machine learning alongside financial engineering to continuously turn data into action. Create new businesses, transform finance, and explore a world of opportunity at the speed of markets. Engineering, which is comprised … real solutions. Want to push the limit of digital possibilities? Goldman Sachs Engineers are innovators and problem-solvers, building solutions in risk management, big data, mobile and more. We look for creative collaborators who evolve, adapt to change and thrive in a fast-paced global environment. Transaction Banking ...

greenfield projects in a fast-paced, startup-like environment, driving innovation at the intersection of AI and finance. RESPONSIBILITIES Develop backend services, APIs, and data models to support high-volume, multi-user environments. Work with iOS, Android & Web client engineers to ship products. Design robust infrastructure and microservices … real-time analytics. Lead architecture, scalability, and reliability decisions for high-concurrency, low-latency systems. Uphold engineering excellence via testing, monitoring, deployment, and secure data handling. BASIC QUALIFICATIONS Proficiency in distributed systems for high-scale, low-latency environments; languages like Rust, Go, Python & Java, and high volume streaming systems. ...

greenfield projects in a fast-paced, startup-like environment, driving innovation at the intersection of AI and finance.RESPONSIBILITIES:Develop backend services, APIs, and data models to support high-volume, multi-user environments.Work with iOS, Android & Web client engineers to ship products.Design robust infrastructure and microservices for payments, transactions, growth … real-time analytics. Lead architecture, scalability, and reliability decisions for high-concurrency, low-latency systems.Uphold engineering excellence via testing, monitoring, deployment, and secure data handling.BASIC QUALIFICATIONS:Proficiency in distributed systems for high-scale, low-latency environments; languages like Rust, Go, Python & Java, and high volume streaming systems.2+ years ...

integration.Impact measurement and improvement design.Act as the final escalation point for complex or cross‐cutting learning system issues.Define reporting‐relevant LMS configuration principles, data models, and integration considerations, and collaborate closely with the Analytics team to design, build, and maintain learning dashboards and reports.Collaborate with and consult the functional … platforms, learning technology tools, and e-learning content providers. Experience with Success Factor Learning is required.Ability to apply system thinking across learning, systems, and data, connecting the dots between platforms and anticipating downstream implications of design and integration decisions.Strong understanding of adult learning principles, instructional design, digital learning pedagogy ...

will provide meaningful contributions: Design and build backend services for the platform, primarily in Go, running on AWS with Postgres as a core data store. Own features and services end-to-end: from shaping requirements and technical design through implementation, testing, deployment, and operational support, including taking responsibility … architectural decisions, and mentoring other engineers through pairing and code review. Help define and evolve the target state architecture for the platform: service boundaries, data models, integration patterns, and reliability/observability standards. Use AI tooling (e.g.Claude and similar) as a force multiplier to accelerate discovery, prototyping, and implementation ...

flow and valuations to Portfolio Management Systems (PMS), reporting, and AI capabilities. What You'll Do Own the creation of solution designs, integration diagrams, data models, and non-functional requirements. Bridge the gap between high-level architectural intent and real-world delivery alongside BAs, Product Owners, and dev teams. … Architect, ideally supporting a Lead Architect. Strong track record in financial services, investment management, or fund management platforms. Practical knowledge of integration patterns (APIs, data pipelines) and architecture frameworks (TOGAF, ArchiMate, C4, UML). Comfortable in Agile environments and working with regulated or public-sector governance frameworks. Detail-oriented ...

payment rails (i.e. stablecoins ), tackling fraud is becoming a critical part of our strategy.You will be working closely with Operations, Compliance, Engineering, Data and Security teams. This is a unique opportunity to make a significant impact on our security posture, drive innovation, and work at the forefront of fraud … stablecoins)- crypto to crypto transactions, card spends, internal processes and customer journeysStakeholder managementPartner with operational and compliance teams to ensure controls are effective.Partner with Data Science teams on predictive AI models for customers journeys and transactions; model inputs, outputs, and thresholds (you are not expected to build machine learning ...

working extensively with Go. - Strong understanding of RESTful APIs, service security, and API standards such as OpenAPI, OAuth, or JWT. - Working knowledge of SQL, data modeling, and relational databases such as PostgreSQL or MySQL. - Experience designing secure, highly available microservices in Linux or Unix environments. - Familiarity with event-driven … financial ledgers, or revenue recognition. - Experience with technologies such as PostgreSQL, Redis, Kafka, Kubernetes, Docker, or Temporal. - Familiarity with reconciliation, idempotency, auditability, and financial data integrity. - Experience leading technically complex projects across multiple teams. What Makes Cloudflare Special? We’re not just a highly ambitious, large-scale technology company. ...

from initiation through planning, execution, and closure. Accountable for delivery on time, within scope, and within budget across all workstreams – including platform implementation, integration, data migration, and business change. Time to Value: Owns the pace at which the customer realises measurable outcomes. Sets the time‐to‐value baseline … fluency in financial services technology. Insurance Ontology and AutonomousInsurer thesis: Carries the Sapiens point of view into every engagement - articulating why a shared data model across the insurance value chain creates structural advantage, and what the AI‐native insurance operating model looks like. Uses both to elevate the conversation ...

engineering agenda: building on Honeycomb and OpenTelemetry, driving instrumentation across a globally distributed microservices estate, and partnering directly with development teams to turn telemetry data into better, faster software.**About the team**This role sits within the Observability team, part of IG’s broader SRE and Platform Engineering function. … evolve IG’s Honeycomb-centric observability platform, ensuring it is reliable, scalable, and fit for a complex, globally distributed trading environment.* Define platform standards, data models, and integration patterns for telemetry collection, storage, and querying across the estate.**Instrumentation and telemetry*** Drive OpenTelemetry adoption across engineering teams, providing hands ...

same thing: despite all the information out there, people stay confused and overwhelmed. The industry only makes it worse — more information, more data, more trends. But what people miss isn't another input; it's a path to clear outputs. Left to be their own expert, they weigh conflicting … that truly understands them, grounded in real expertise, not selling them anything. A guide. Healf Zone brings together all of a customer's data — bloods, wearables, tests, supplements, lifestyle — into clear, ongoing guidance. What to take. What to stop. What to try next. It starts with the best protocol ...