16 of 16 Domain Models Jobs in London

looking for a Senior Analytics Enginee r to help scale their analytics platform. This is a hands-on role focused on building robust data models and partnering with stakeholders to deliver high-quality analytics solutions Key Responsibilities Design and develop scalable domain models Build and optimise … incremental dbt models in Snowflake Own work end-to-end, from discovery through to delivery Collaborate with business stakeholders to gather requirements and prioritise work Drive analytics engineering best practices, including testing, documentation and CI/CD Deliver reliable, scalable data models that support business growth Key Experience ...

architectural vision and execution of systems at the heart of a high-growth fintech. Technical Ownership: Full responsibility for evolving and scaling a domain‐critical platform. Cross-Functional Collaboration: Partner with experienced teams across disciplines to shape solutions from the ground up. Mission-Driven Environment: Work … problems into scalable, value-driven solutions. A collaborative leader who has mentored teams and influenced product direction. Experience working with complex domain models and evolving codebases. Bonus skills include Python, Django, PostgreSQL, event-driven data systems, machine learning familiarity and frontend awareness. If you're a Technical ...

solutions in the form of cloud-native microservices architecture applications leveraging the latest technologies and the best industry practices Use domain modelling techniques to allow us to build best in class business products. Structure software so that it is easy to understand, test and evolve. Build solutions that ...

redefine how global commerce works. About the Role We are looking for a Team Lead to found and lead the newly formed Unified Domain Team within our Enablement Group. This is a greenfield, high-leverage role: you will define and drive adoption of Swap's canonical domain … responsibilities. Responsibilities Lead a small, focused team with the autonomy and clarity to build foundational infrastructure. Define, publish, and version canonical domain models for Swap's core entities. Own the delivery of schemas and OpenAPI definitions. Establish and maintain a lightweight governance pipeline: review process, ownership model ...

Code, automation, release governance, and quality gates. Establish platform engineering practices supporting continuous delivery and automation. Define Data Mesh principles, domain ownership models, governance, metadata management, and interoperability standards. Establish integration architecture across Snowflake, Kafka, cloud platforms, APIs, ETL/ELT, and downstream systems. Collaborate with business ...

technical decision making across the backend platform. Responsibilities You'll be a strong fit if you enjoy: Designing and building scalable backend systems Domain modelling and solving complex business problems Owning technical decisions and architectural direction Working closely with product, operations, and commercial teams Improving engineering standards through ...

make a huge difference – on us as a company, and on our clients and business partners around the world. Job Responsibilities Use domain modeling techniques to allow us to build best in class business products. Structure software so that it is easy to understand, test and evolve. Build ...

seeking a Senior Lead Software Engineer to drive design and delivery of fintech-focused products. You will work in collaborative squads, applying domain modeling, secure coding, and scalable architectures to deliver customer-centric solutions. The role emphasizes mentorship, adaptability, and a pragmatic, iterative approach to achieving long-term ...

Partner with cross-functional teams to gather requirements, analyse data, deliver accurate reports and develop data-driven solutions that meet those needs. Apply domain modelling techniques to design and develop top-tier business products using industry best practices to ensure high data quality and minimize redundancy. Maintain data ...

into robust technical solutions. Demonstrate ownership, accountability, and stakeholder management skills. Apply relevant experience in the financial trading domain, including trading data models and related business processes. Drive technical decision-making, mentor engineering teams, and ensure delivery of business outcomes. Communicate effectively and influence technical direction while … communication skills and ability to translate business requirements into technical solutions. Experience within the financial trading domain and knowledge of trading data models and processes. #J-18808-Ljbffr ...

architecture to build. What You’ll Do Knowledge Architecture & Semantic Infrastructure. Design and own the enterprise knowledge layer—the governed semantic models, ontologies, and knowledge graph structures that ground both human analytics and AI agents in a single source of truth. Define how business meaning flows from glossaries through … data models to agent context. Conversational Analytics. Lead the strategy and delivery of natural‐language interfaces to business data. Move beyond dashboard‐driven BI toward systems where stakeholders query complex datasets conversationally and receive context‐rich, citation‐backed answers from governed semantic layers. Agentic Data Platform. Architect the infrastructure ...

Strong experience with distributed systems design, trade-offs, and scalability Deep understanding of Clean/Hexagonal Architecture, SOLID, CQRS, resilience patterns Event-driven & Domain-driven design Experience modelling systems using DDD (bounded contexts, domain events, aggregates) Strong grasp of asynchronous communication and system boundaries Engineering leadership ...

next-generation AI solutions that optimise complex physical systems. Backed by significant recent investment, they're growing their research team to develop machine learning models that solve real-world engineering challenges at scale. This is an opportunity for an Applied Machine Learning Scientist to work on cutting-edge research … where deep learning meets real-world infrastructure. You'll develop advanced machine learning models using large-scale sensor data, combining AI with physical modelling to improve the performance and efficiency of complex industrial systems. This role is ideal for someone who enjoys solving difficult research problems whilst seeing their ...

Stakeholder Management Serve as the primary liaison between business units (Implementation & core development) and technology teams Facilitate user group sessions internally across various domain leaders Facilitate requirements gathering sessions with internal stakeholders and customer service teams Build and maintain relationships with external vendors, integration partners, and regulatory bodies … applications, and digital distribution channels Understanding of actuarial concepts and rating algorithm implementation Experience with cloud-based Insurtech solutions and SaaS/PaaS delivery models Familiarity with insurance data standards (ACORD, ISO) and regulatory reporting requirements Technical Competencies Understanding of high level platform architecture, data models, and integration ...

controls, operational clarity, and measurable service outcomes.Define and maintain the Architecture Repository meta-model, taxonomies, usage guidelines, and mappings to the LSEG Engineering Domain Model, while driving alignment with adjacent engineering toolchains.Lead hands-on engineering work across configuration, configuration-as-code, data pipelines, integrations, reporting, and user-facing … downstream dependencies, and design data governance controls so Architecture data can be consumed effectively as a trusted data product across LSEG.Drive cross-domain toolchain integration and facilitate understanding and adoption of the Engineering Domain Model across engineering teams and business users.Continuously improve the platform, operating model ...

Overview Define what “good” looks like across data, integration/APIs, security, infrastructure, models, orchestration, and the consumption layer. Maintain a prioritised Agentic AI capability backlog for the domain. Track new tools, models, frameworks, and patterns. Enable higher-quality decisions on Agentic AI and build stronger technical … scaling Agentic AI. Promote confident and responsible Agentic AI adoption. Responsibilities Define what “good” looks like across data, integration/APIs, security, infrastructure, models, orchestration, and the consumption layer A prioritised Agentic AI capability backlog for the domain Track new tools, models, frameworks, and patterns Higher ...