19 of 19 Domain Models Jobs in the UK

role translates business and product outcomes into end-to-end data architectures, leading the definition of domain and cross-domain models, authoritative sources, system-of-record boundaries, data contracts, information flows and semantic structures. It works closely with Data Products & Governance, Data Engineering & Platforms, Integration … including the coherence of data structures and information flows between domains and systems. Accountable for the quality and consistency of conceptual, logical and physical models, data architecture decisions, authoritative-source definitions, data contracts and source-to-consumption data flows within assigned scope. Operates within enterprise data architecture principles, target ...

solution structure, engineering standards, reusable patterns and technical guardrails, working in alignment with enterprise architecture. Decompose business needs into services, APIs, domain models and delivery increments, documenting key architecture decisions and trade-offs. Design for performance, resilience, scalability, maintainability, interoperability and cost efficiencyAzure cloud engineeringDesign and implement … testing. Hands-on Azure application development experience across relevant compute, integration, data, identity, security and monitoring services. Strong knowledge of software architecture principles, domain-driven design, API-first design, microservices and modular monolith patterns, with the judgement to select an appropriate approach. Practical experience with SQL Server/ ...

daily basis. The Role Lead technical delivery across a high-performing development squad (10+) Contribute to solution design, system architecture and domain modelling Build proof-of-concepts and spike complex or uncertain areas of work Break down requirements into deliverable epics and user stories alongside product and initiative ...

Deliver end-to-end solutions in the form of cloud-native, microservices-based applications, leveraging the latest technologies and best industry practices. Use domain modeling techniques to build best-in-class business products, structuring software for clarity, testability, and evolution. Develops secure high-quality production code, and reviews ...

enterprise. Build performant, maintainable dashboards and reports using modern BI tooling (e.g.,DOMO, Tableau, Looker). Own and optimize domain data models that underpin reliable, consistent reporting; conductpeer reviews to ensure quality and maintainability across the team's solutions. Standardization & Scalability Proactively drive standardization of analytics solutions … team. Champion consistent KPI definitions and reporting standards within the business domain. Data Governance & Quality Align on domain-specific data models and KPI definitions in close collaboration with theCentral BI Team and business stakeholders. Work with the Central BI Team and Data Engineering to proactively identify, troubleshoot ...

Data Fabric, Semantic modellingLocation – London, UKJob DescriptionWe are seeking an experienced Data Modeler who can analyse and understand the existing customer data and analytics models on SQL Server, and design efficient data models for Snowflake. This individual will work closely with multiple Business Analysts to gather requirements … industry standards. Your roleIn the role of a Data Modelling Lead, you will be responsible for leading the design and transformation of enterprise data models to support scalable, high-performance analytics and reporting solutions. You will analyse existing data models built on SQL Server and guide the development ...

platform powering every stage of pricing and underwriting. AI is at the core of what we do - from building the world's first domain-specific AI peer programmer for insurance (think GitHub Copilot with a PhD in actuarial science) to shaping agentic workflows that reinvent how this industry … into simple, reliable software. Much of the work is deciding what to build, not just building it. Shape architectural decisions: APIs, domain models, persistence, reliability, observability, and how the platform evolves without collapsing under its own weight. Build real depth in the underwriting domain ...

features on a live Java/Spring Boot SaaS platform, working with product, design and clinical colleagues Designing REST APIs, domain models and PostgreSQL schemas Writing clean, well-tested code (unit and integration tests are part of the job, not an afterthought) Investigating and fixing production ...

trusted, connected, reusable and ready to support business decisions, regulatory obligations, data products and AI-enabled services. The role will define the enterprise information models, data domains, architectural principles, semantic models and knowledge structures that help manage data as a strategic asset. Working across business and technology teams … whilst supporting a federated model of ownership and accountability. Key accountabilities: Develop, maintain and evolve the enterprise data architecture, including architectural principles, standards, information models and current/transitional/target-state designs that support consistent, trusted and reusable data. Define and maintain enterprise information models, data domains ...

VHDL.Strong software engineering skills/background, including: Object-oriented, aspect-oriented, and particularly functional programmingTemplated metaprogramming, in any languageCompiler infrastructures, particularly for domain-specific languagesData modeling, particularly intermediate representations for optimizing or transforming compiler passesTest-driven development, particularly ability to write adaptive unit testsAttention to detail ...

leadership under your belt. 5+ years' fluency in JavaScript and TypeScript full stack, this is non-negotiable. Strong grasp of system design and domain modelling, with a commercial mindset behind every technical decision. A track record of clean code, SOLID principles and thoughtful design patterns. Broad full stack … Engineer, Full Stack Developer, JavaScript, TypeScript, NodeJS, Artificial Intelligence, Microservices, Vue, Redis, SQL Server, Snowflake, AWS, DevSecOps, CI/CD, AI, System Design, Domain Modelling, SaaS, SOLID Principles, Clean Code, Automated Testing, Technical Architecture, Scotland ...

Lead Data Scientist, you will join 30+ experienced Data Scientists in our Analytics Hubs in Karlsruhe or London. Our Data Science group create forecast models, predictive data and interactive analytical tooling for trading and scenario planning. We model commodity markets with a wide range of techniques from fundamental market … teams with a high degree of ownership and direct collaboration with customers. In your role, you will primarily focus on creating market-leading predictive models and interactive analytics for market fundamentals, prices, supply, demand & trade in the context of Chemicals, the global supply network for petrochemical commodities, recycling materials ...

segmented into multiple areas including: Platform Engineering - Teams within platform engineering provide cross-cutting capabilities that enable other teams to focus on domain- or business-specific needs by streamlining and standardizing technical approaches. For example, one of these teams provides data table, identity and access management … capabilities as a service to engineering teams. Domain Engineering - Teams within domain engineering have critical capabilities that extend beyond a single trading strategy or business area. They build services and data products to optimize a broad array of use cases. For example, one team processes third ...

innovation and continuous improvement. Define and evolve architecture for critical systems across the Foods domain, including service boundaries, integration patterns, APIs, event models and data structures. Lead the design of solutions that span multiple teams and distributed systems, solving complex engineering challenges at scale. Modernise legacy platforms … duplication and driving consistency across the technology landscape. Key challenges you'll help solve: Simplifying complex legacy integrations across enterprise systems. Defining clear domain boundaries and service ownership across platforms. Moving from batch and point-to-point integrations to API-led and event-driven architectures. Designing reliable APIs ...

SDKs, and reference implementations to reduce integration complexity for major partners. Technical Leadership & Mentorship: Champion engineering best practices, conduct code reviews, participate in domain modeling (DDD), and mentor junior engineers across the team. Cross-Functional Collaboration: Partner closely with Product Managers, Implementation Managers, Solutions Engineers, and partner development … experience with event-driven architecture (Kafka or similar messaging systems) and relational database design/optimization (PostgreSQL, MySQL).Architectural Knowledge: Proficiency in domain-driven design (DDD), microservices patterns, and building for high availability and low latency. Product Mindset: A customer-centric approach to engineering—balancing technical excellence with ...

SDKs, and reference implementations to reduce integration complexity for major partners. Technical Leadership & Mentorship: Champion engineering best practices, conduct code reviews, participate in domain modeling (DDD), and mentor junior engineers across the team. Cross-Functional Collaboration: Partner closely with Product Managers, Implementation Managers, Solutions Engineers, and partner development … experience with event-driven architecture (Kafka or similar messaging systems) and relational database design/optimization (PostgreSQL, MySQL). Architectural Knowledge: Proficiency in domain-driven design (DDD), microservices patterns, and building for high availability and low latency. Product Mindset: A customer-centric approach to engineering—balancing technical excellence ...

The AI orchestration of your wildest imagination.n8n is the open workflow orchestration platform built for the new era of AI. We give technical teams the freedom of code with the speed of no-code, so ...

more than 1.5 million bets per hour at peak. Job Description As a Lead Data Scientist, you will spearhead the development of advanced probabilistic models that power real-time betting markets. The Quantitative Analysis department harnesses data-driven insights to enhance our betting products and services. The team … responsible for designing, developing, and maintaining sophisticated mathematical models to provide accurate pricing across our sports betting products. In this role, you will work with extensive datasets develop models that determine odds and power in-play betting decisions while leveraging state-of-the-art machine learning techniques ...

Senior Systems Engineer, (Level 3) JOB LOCATION: Ampthill, Bedfordshire SECURITY CLEARANCE LEVEL: BPSS to Start, SC Clearance Eventually, UKEO DURATION: PERM WORK PATTERN: On-Site expectation likely all the time HOURS: 37.5 P/W ...