1,926 to 1,950 of 3,018 Data Modelling Jobs in the UK

team technical initiatives; drive design forums, establish engineering guardrails, and ensure high‐quality delivery via code reviews and automation. Partner closely with Product, Design, Data Science, and Platform teams to define project scope, sequence milestones, and proactively de‐risk execution for iterative releases. Own design of APIs and microservices … hardening on‐call procedures and runbooks, and leading incident response and post‐mortems. Solve complex distributed system challenges (such as throughput, latency, consistency, and data modeling) with pragmatic decision‐making and balanced tradeoffs. Document architectural decisions, service ownership, and operational runbooks to share knowledge and maintain long‐term scalability. ...

cross‐browser and cross‐platform development Experience with server‐side development, ideally using technologies such as Node.js, .NET, ASP.NET , PHP or similar Understanding of data persistence, including working with databases and data models Experience being on call for bugs or other issues that may arise during a sprint ...

role designs, builds and maintains complex, heavily customised applications in an environment where out-of-the-box functionality is not sufficient: scoped applications, custom data models, advanced server- and client-side scripting, and integrations with security tooling and customer environments. It demands expert-level JavaScript, a rigorous approach … significant design decisions, and provide the final technical sign-off before code is promoted. Complex Application Development: Design and build scoped applications, custom data models and business logic that go well beyond out-of-the-box capability, while keeping the instance supportable and upgradeable. Advanced Scripting and JavaScript Engineering ...

Define and evaluate architecture options for finance systems and integrations, and present recommendations to senior stakeholders Support the definition of a cohesive and consistent data model that can serve as the bedrock of all our financial systems whilst maintaining a global view of the impact on other tech systems … transformations while maintaining business continuity Strong understanding of integration technologies and application architectures. Understanding of modern integration patterns, REST APIs, modern application and data architecture. Understanding at a protocol level of Single Sign-On (SSO) and identity provisioning technologies such as OAuth, OIDC, SAML and SCIM Ability to produce ...

integration of new platforms into the wider enterprise You should have experience across disciplines, for example: business analysis, systems thinking, solution architecture, technical architecture, data architecture and data science. You have knowledge of a variety of systems thinking and systems integration approaches and techniques, and the ability … cloud environments, and be able to contribute to op model design and implementation. You can manage technical reviews and assessments of platform strategy, roadmaps, data models, cloud integration and migration tools. You are a team player that thrives in a diverse culture, inspiring and motivating others. Ideally you will ...

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 … understand how they fit together Strong CRM fluency with Salesforce as a system of record: you can set the requirements, shape the data model and process, and direct a platform team, not just keep it clean Commercial process and incentive design: targets, compensation, territory and capacity planning tied ...

crypto transactions- card spendsOptimize 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. Stakeholder managementPartner 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 ...

Define and evaluate architecture options for finance systems and integrations, and present recommendations to senior stakeholders Support the definition of a cohesive and consistent data model that can serve as the bedrock of all our financial systems whilst maintaining a global view of the impact on other tech systems … transformations while maintaining business continuity Strong understanding of integration technologies and application architectures. Understanding of modern integration patterns, REST APIs, modern application and data architecture. Understanding at a protocol level of Single Sign‐On (SSO) and identity provisioning technologies such as OAuth, OIDC, SAML and SCIM Ability to produce ...

disciplines to build features that improve our users' financial health. Key responsibilities for this role include: Work on our Ruby on Rails monolith, building data models, APIs, and business logic services Collaborate with peers across your squad and pillar, providing technical insight into upcoming work and helping pull … technical - take part in product ideation, user research, design reviews, and retrospectives What We're Looking For Solid experience with Ruby on Rails, building data models, APIs, and business logic services in a production monolith Comfortable delivering with agile methodologies and practices like automated testing, observability, A/ ...

years of software engineering or related development experience. Understanding of software development principles, methodologies, and practices. Experience with SQL and relational databases. Familiarity with data models, database structures, and data storage technologies (e.g., Snowflake, PostgreSQL, or Redshift). Experience with Java, Spring, or C# and Docker, and Kubernetes. ...

system/process designs* Develop and execute comprehensive **test strategies**, including scenario testing and validation* Manage partner integrations, including setup, analysis, validation, and ongoing data exchanges* Coordinate cross-functional implementation activities, contributing to **project planning, scope definition, and delivery governance****Must have Skills Required*** **5+ years of Workday Integrations … experience **leading integration design and process alignment** across stakeholders* Demonstrated ability to **design, develop, and deploy production-grade integrations*** Strong understanding of **ERP systems**, data models, and enterprise architecture concepts* Experience working across multiple cross-functional teams, including business and technical stakeholders* Highly developed **analytical, problem-solving, and communication ...

client experience. This role involves close collaboration with stakeholders across technical teams, product owners, digital functions, governance, contact centre and claims operations, IT, data teams, and board‐level executives. This is an exciting opportunity for someone with a strong background in the National Security sector. Job Responsibilities Lead structured … Demonstrated experience delivering business change and IT‐enabled transformation. Experience collaborating with third‐party suppliers and vendors to achieve delivery Goals. Solid understanding of data models, APIs, and modern cloud‐based platforms. Proficiency in tools such as Azure DevOps, Visio, JIRA, or similar. Ability to assess organisational risk ...

Libraries, API Gateway, OCI Functions, Autonomous DB (ATP/ADW), OCI Vaults, Streaming. Exposure to Multi-Cloud environments is desirable Familiarity with Oracle SaaS data models and common business processes (e.g., AP/AR/PO/GL, HCM/Payroll) Excellent communication skills, stakeholder management, and ability … security needed to take the lead in a low carbon world. They provide expertise, advice and day-to-day support in emerging technologies, data and analytics, cyber security and more. Flexible benefits to fit your life Enjoy discounts on private healthcare and gym memberships. Wellbeing benefits like a free ...

hiring a senior back-end engineer who owns real problems end-to-end and shapes how the team builds, from API design and data modeling through to service implementation, production reliability, and launch. You already use AI as part of how you think, build, test, and ship. … making architecture decisions in your domain. Strong written and verbal communication. Nice-to-have Experience with ledgers, double‐entry accounting, or other financial‐data systems. Experience hiring, interviewing, or onboarding engineers. Experience leading modernization or platform migrations. Experience with caching solutions like Memcached or Redis. Experience using project management ...

global leader in secure, frictionless payment solutions that empower enterprises to enhance customer experience and simplify compliance. Its patented cloud-based technologies protect sensitive data across all customer interactions and channels, ensuring compliance with industry standards like PCI DSS while reducing fraud risk and strengthening trust. Founded … healthy in production. The new platform. Backend services and APIs in Java and Spring Boot, the frontend that sits on them, and the data model underneath. The build is delivered with an engineering partner under our technical direction; in-house engineers shape the design and review what gets built. ...

identitymodernisationprogramme, migrating from SailPointIdentityIQto SailPoint Identity Security Cloud. This is a hands-on technical leadership role for an engineer who enjoys solving complex security, data,integrationandoperating-model challenges at enterprise scale. You will work with engineering, security,operationsand business partners to design a modern identity platform that is secure … Security Cloud, treating the move as a platform transformation rather than a like-for-like upgrade. Define the future-state identity architecture, including identity data models, application onboarding patterns, access request processes, provisioning, deprovisioning,certificationsand policy controls. Translate complexIdentityIQworkflows, rules,connectorsandcustomisationsinto secure, maintainable, cloud-aligned designs using Identity Security ...

could focus on meaningful work. Today, ServiceNow is the AI control tower for business reinvention. Our ServiceNow AI platform brings together any AI, any data, and any workflow— helping 85% of the Fortune 500® work smarter, faster, and better. We're building an AI-native culture where technology … this done that way?” Technical Mastery: Strong grasp of API based systems integration, LLM-based systems design including prompt engineering, context engineering, and data modeling. Product Excellence Obsession: You have product taste/judgement and are obsessed with building and delivering exceptional product experiences for users. Reusability: You share ...

operate Python/FastAPI backend services that support authentication, staff and device workflows, menus, orders, payments, receipts, and hotel‐system integrations Design reliable APIs, data models, caching, synchronization, and recovery paths using PostgreSQL, Valkey, REST, and service integrations across the Cloudbeds platform Own observability, automated testing, release quality, performance … SQLite experience is highly relevant Strong software engineering fundamentals, including maintainable architecture, automated testing, debugging, performance, security, and operational reliability Solid understanding of relational data modeling, PostgreSQL, caching, API design, distributed systems, and asynchronous or event‐driven workflows Experience owning cloud‐native delivery and operations, including Terraform, Docker, Kubernetes ...

with Micro-Frontend (MFE) architectures (e.g., Module Federation). Backend: Java & Spring Boot (building/consuming RESTful APIs & BFF layers). Solid understanding of data modeling ( SQL or NoSQL ). Cloud & DevOps: Proficiency with AWS services (ECS/EKS, CloudFront, API Gateway, Lambda). Infrastructure-as-Code (CloudFormation ...

code pushdown techniques.* Techno-functional expertise in SAP Tax & Revenue Management, HR, FI and CRM, with a strong understanding of S/4HANA data model changes and integration points across these modules.* Experience with SAP UI and Fiori, including SAPUI5 development, Fiori app extensions, and OData service design aligned ...

慨正橡扯 is seeking a Senior Data Modelling Consultant to shape enterprise-grade data models for top-tier financial services clients in London (Hybrid). This pivotal role requires analytical skills to drive business understanding and support large-scale data migrations. Successful candidates will have proven experience … financial services data modelling, a strong grasp of data standards, and familiarity with data modelling tools like Sparx and Erwin. Join us to access a competitive benefits package and help shape the future of digital transformation. #J-18808-Ljbffr ...

Intelligence Analyst in Manchester to provide stakeholders with rich insights by developing reports and dashboards that align with organisational goals. You will analyse complex data, collaborate with stakeholders to identify reporting requirements, and ensure data accuracy across analytics platforms, with a focus on Power BI and data ...

credit and Customer Lifetime Value modelling projects end to end Identify where the modelling stack is holding the business back Frame modelling opportunities and select appropriate methods Keep production models healthy through monitoring and maintenance Deliver incremental model development and research that reshapes model approaches Set technical … multi-quarter projects Develop principled approaches to unify auto and manual credit models Contribute to the IFRS accounting model and multi-stage credit modelling Investigate generalised approaches that could replace separate credit and CLtV models Land commercial impact and communicate technical decisions Collaborate with a team of approximately twelve ...

Responsibilities Run credit and customer lifetime value modelling projects alongside the Credit Risk Modelling team Keep production models healthy Develop models incrementally Conduct research that reshapes how credit and customer lifetime value models work Model how offer amount, duration, and price shape customer outcomes through causal estimation Work … prototyping, automation, and R&D Clear, direct, and concise written and verbal communication Domain experience in credit risk, lending, or customer lifetime value modelling is a bonus Experience building and shipping supervised machine-learning models end to end is a bonus Understanding of model cost functions and inductive biases ...

Join us at Barclays as an Enterprise Data Platforms (EDP) Data Modeler and help shape the future of enterprise data across our global organisation. We're looking for an experienced data professional with a passion for creating scalable, high-quality data models that support critical … business, regulatory and analytical capabilities. To be successful as an Enterprise Data Platforms (EDP) Data Modeler, you should have experience with: Expert conceptual, logical and physical data modelling with experience implementing at enterprise scale. Solid experience with metadata management toolsets, such as ER Studio, Erwin ...