51 to 75 of 85 Domain Models Jobs in England

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 ...

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 ...

including, butnotlimited to: Cloud platforms:AWS,Azureand GCP Modern data platforms:Databricks, Snowflake and cloud-native data services Data architecture:Lakehouse, medallion, datameshand domain-oriented patterns Data processing:Apache Spark,SQLand distributed processing technologies Data storage:Delta Lake, ApacheIcebergand open table formats Data pipelines:Enterprise-scale ETL/… equivalent tooling Orchestration:Apache Airflow and 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 ...

Co. in London seeks a Software Engineer III to join the International Consumer Bank. You will deliver cloud-native microservices, design domain models, and ensure secure, scalable solutions across a distributed team. You will participate in end-to-end testing, maintain high code quality, and support production ...

experience with identity management protocols, such as OAuth 2.0, OIDC, SAML 2.0, or SCIM 2.0 If you have designed and evolved domain models for organizational or identity systems Cybersecurity experience: estimating risks, recognizing common vulnerability antipatterns, and promoting best SSDLC practices Hands-on experience with ...

software engineering skills/background, including object‐oriented, aspect‐oriented, and particularly functional programming. Templated metaprogramming, in any language. Compiler infrastructures, particularly for domain‐specific languages. Data modeling, particularly intermediate representations for optimizing or transforming compiler passes. Test‐driven development, particularly ability to write adaptive unit tests. Attention ...

domain modelling Experience across conceptual, logical, and physical data modelling Ability to define canonical, domain, shared, reference, and analytical data models Good understanding of data governance, data quality, metadata, lineage, traceability, and auditability Experience shaping data strategy and translating it into practical roadmaps aligned … Knowledge of data migration strategy, including source-to-target mapping, reconciliation, and phased cutover approaches Additional experience: Experience defining enterprise data architecture principles, standards, models, and architecture repositories Understanding of data ownership, stewardship, and federated operating models Experience designing data architectures for regulatory, security, and compliance requirements Awareness ...

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 ...

between business intent, data governance requirements and technology implementation.Business Requirement Analysis and Technology Solutioning• Translate core, abstract business requirements into actionable product requirements, data models, delivery backlogs and acceptance criteria.• Collaborate with technology teams to select and shape appropriate technologies for scalable analytics, trading strategy development, tick or time … data modelling, canonical views, silver-layer enterprise views, data catalogues, lineage, metadata and critical data elements.• Provide product-owner challenge to ensure data models are fit for business purpose, support cross-asset analytics, and can scale to production risk and trading workflows.• Drive strong data governance practices, including ...

Transmission runs on, taking accountability for their performance, reliability, security and continuous improvement throughout their lifecycle. These products comprise governed, reusable pipelines and data models that serve BI and KPI reporting, integration between operational applications and the data science, AI and advanced analytics workloads underpinning National Grid … controls and to track and monitor these.Working knowledge of modern data architecture patterns and where each applies — data mesh, data fabric, Lakehouse and domain-oriented ownership models.Knowledge and experience of query language, data mesh methods and data transformation tools which may include but are not limited to: -Data ...

work on systems that search, price, book and service flights through airline distribution channels. This role is for backend engineers who enjoy complex domain modelling and integration work, and care about correctness over novelty. The role is based in London with a hybrid arrangement (Shoreditch/Liverpool Street ...

links, domain-level catalogues with rich local detail, and a clear contract between the two. Practical experience with data governance operating models: ownership and stewardship roles, sensitivity classification, metadata quality measurement. Semantic layer design: business glossaries and concept registries, resolution of term conflicts between departments, entity resolution … layer, the domain catalogues for market data and curated reporting, and the federation contract that binds them. Design domain metadata models in working sessions with the client teams that own the data, extending the client's existing catalogue model instead of replacing it. Define ...

Lead Platform Engineer to join the team. Baringa are world leaders in modelling energy markets and using the insights generated through these models to drive change in a decarbonising energy industry. The Energy Products practice specialises in the development and innovation of our analytical models and supporting technology … ecosystem underpinned by our deep expertise in the energy markets. Our staff come from diverse backgrounds, based across multiple geographies, and building models that utilise highly varied data sources – everything from kilobytes of academic papers to terabytes of hourly scenario projections for 50+ years. They need rapid access ...

between our Senior and Staff engineering tracks. You will own meaningful systems end to end, lead multi sprint initiatives across a product domain, and shape how we build for scale. You will operate as a strong senior IC, leading design, raising the engineering bar through review and mentorship … partnering closely with Product, Data, and our financial and legal domain experts.This role suits someone who has already grown beyond a typical senior remit. You enjoy diving into distributed systems problems, and you have firsthand experience scaling services under real production load.What you'll doOwn the design ...

office.The roleResponsibility and Autonomy:Lead the delivery of projects involving many stakeholders and systems.Go beyond the code to develop deep expertise in our domain — our core financial products and our stakeholders' needs — and become a trusted technical advisor to the business.Perform detailed technical scoping and prototyping to support … merges. We expect AI output to be validated for correctness, performance and security like any other change.We give the team unlimited tokens across all models and expect people to experiment.The requirementsEssential:Extensive back-end engineering experience.Experience building and running microservices and distributed systems in production. Comfortable reasoning about durable ...

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 ...

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 ...

site. In this role, you’ll lead a team of Analytics Engineers embedded in a key business domain, owning the pipelines, models and metrics that power day-to-day decisions and building the data foundations your stakeholders rely on.About the Analytics Engineering OrgAnalytics Engineering is a core … Data Science. With over 70 Analytics Engineers across the UK and India, we are embedded directly within product and business domains, owning the pipelines, models and metrics that power decision-making at scale: from self-serve AI-enabled analytics and experimentation through to executive reporting and strategic planning.The discipline ...

spark innovation. High initiative - able to break down engineering problems into shippable slices and make steady progress when requirements are evolving or domain context is still being built. A genuine curiosity about smart energy devices and the technology that connects them to people's homes. … willing to adapt your approach. Our core tech stack... Python, Django PostgreSQL, Celery, and asynchronous background processing API architectures: GraphQL, REST, HTTP Domain modelling, writing fault‐tolerant systems, and test‐driven development (TDD) Also valuable... TypeScript, AWS Lambda, CDK DynamoDB, event‐driven microservices, API Gateway Distributed architecture ...

defined and governed across the organisation. The role You will: Lead the development of enterprise-level conceptual and logical data models. Create and maintain models across multiple business and data domains. Translate complex business requirements into clear, reusable data structures. Establish and embed data modelling standards, principles and best … Architecture, Data Governance and Data Management principles. Experience working with recognised data modelling tools and methodologies. The ability to translate complex business concepts into models that can be understood across business and technology teams. Strong senior stakeholder engagement and influencing skills. Experience providing technical leadership, mentoring or direction ...

will: Innovate & Deliver: Design, build, test, and deploy end-to-end AI solutions for complex document understanding tasks in the legal domain. Develop advanced models for semantic chunking of lengthy, non-uniformly structured legal documents with adjustable granularity levels for different use cases. Build document enrichment systems that classify … robust training and evaluation methodologies that balance model performance with latency requirements, particularly for SLM-based solutions. Apply knowledge distillation techniques to compress large models into efficient SLMs suitable for production deployment. Drive Technical Decisions: Independently determine appropriate architectures for challenging document understanding problems including: semantic chunking strategies that ...

individual contributor within a specific workstream/team. As well as eliciting and managing business, technical and operational requirements across a complex domain, you will be accountable for challenging scope and priorities to ensure optimal business value, understanding end-to-end business processes, identifying cross‐domain … most effective techniques for different programmes/projects/product teams Thrive in a technical environment and experience of using a range of models to visualise complex problems within a given sphere (domain, technical, business) to build common understanding amongst different stakeholder groups Excellent communication and presentation ...

individual contributor within a specific workstream/team. As well as eliciting and managing business, technical and operational requirements across a complex domain, you will be accountable for challenging scope and priorities to ensure optimal business value, understanding end-to-end business processes, identifying cross-domain … identifying the most effective techniques for different programmes/projects/product teamsThrive in a technical environment and experience of using a range of models to visualise complex problems within a given sphere (domain, technical, business) to build common understanding amongst different stakeholder groupsExcellent communication and presentation ...

Data Scientist at Checkout.com, you will be the primary operator of our Growth Prediction Engine. Your focus will be to maintain and evolve the models that underpin our commercial strategy, working closely with Strategic Finance and Revenue Operations. The growth forecasting framework is an established roadmap. You will … execution of these models while working in a shared-delivery model where tasks are distributed across the wider Data Science team. How You'll Make an Impact Advance our ML-Driven Forecasting: Own, maintain, and continuously enhance our ML-driven revenue growth models. You will be responsible for pushing ...

across the Infor MES platform and wider Manufacturing portfolio. This is a hands-on technical leadership role responsible for defining the architecture, standards, data models, ontology strategy, and platform integration patterns required to bring AI capabilities to MES and Manufacturing solutions. Working closely with Infor OS technologies, you will … platforms. Strong hands-on software development experience using modern engineering practices and technologies. Proven experience designing and delivering production AI solutions using Large Language Models (LLMs). Experience with Retrieval Augmented Generation (RAG), agentic architectures, AI orchestration frameworks, and tool-based AI systems. Experience integrating AI capabilities into enterprise ...