851 to 875 of 975 Remote/Hybrid Data Modelling Jobs

Europe Services Ltd is seeking a Data Engineer for Manchester on a hybrid, 12-month fixed-term contract. You will build and maintain the bridge between data and the business, implementing SQL-first transformation workflows and ensuring data integrity for stakeholders. The role requires strong … tooling, and the ability to translate complex business requirements into scalable data models. You will work with a cross-functional team in a fast-paced environment and enjoy a competitive #J-18808-Ljbffr ...

/CD and deployment automation. Support cloud and production environments by monitoring performance, troubleshooting issues, and improving system reliability. Develop and maintain databases, data models, and asset management systems that support digital production workflows. Support and optimise rendering pipelines, graphics workflows, and 3D asset processes, while providing technical documentation … knowledge, and exposure to cloud technologies. Experience in CGI, 3D graphics, rendering, or creative production environments preferred. Strong knowledge of software design principles, data structures, algorithms, and development methodologies (Agile/Waterfall). Experience developing software for CGI, 3D graphics, rendering, visualisation, or digital content production environments. Understanding ...

within a fast-paced environment, offering direct business engagement and rapid delivery cycles. Key Responsibilities Design, develop and support KDB+ applications and real-time data platforms. Work directly with front-office users to understand and deliver business requirements. Develop APIs, data models and streaming solutions. Build monitoring, analytics ...

Senior Analyst BI focusing on 3PL order management and finance operations. Hybrid work from London or Woking, UK, with a blend of business analysis, data analytics, and AI-driven process improvements across ERP-enabled processes. You will translate complex requirements into data models, dashboards, and actionable insights ...

Digital Futures is seeking a Data Architect to define and govern data and analytics architectures for scalable AI and digital solutions. The role ensures data platforms are reliable, interoperable, secure and scalable for growth. Key responsibilities include designing target architectures, leading data modeling and integration patterns ...

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 ...

work alongside a small group of senior engineers. The work as it is today Design, build and ship features end to end, from data model and API design through to frontend implementation. Design and build robust, scalable APIs in TypeScript and Node.js, published in OpenAPI format. Architect resilient distributed … systems and third‐party integrations, with sound error handling, failure mode mitigation and transaction control. Work with FHIR R4 resources and clinical data models within Medplum. Contribute to our frontend rewrite as we move from Flutter to React. Make sensible build-versus‐buy decisions; we build only what creates ...

Build Directly shape customer success by integrating our Mithra OS into their unique operational systems. Develop and deploy custom software extensions, adapters, and data flows using our modern APIs and SDKs. Bridge the gap between high-level customer ambitions and our core technology, translating complex requirements into reliable, field … engineering fundamentals, with a knack for production-quality API integration, service development, and robust testing. A deep understanding of distributed systems, including modern APIs, data modeling, event-driven architecture, and networking. The ability to partner directly with customers and operators, understand their world, and translate their needs into clear ...

primary focus on pre-sales revenue impact. Lead technical discovery and architecture for strategic prospects and existing customers; translate customer workflows into Linear configuration, data model, permissions, and integration patterns. Run pre-sales technical evaluations end-to-end: deliver tailored deep-dive demos, proof-of-concepts, security and architecture … Sales, or similar role at a high-growth SaaS company, with experience supporting enterprise-scale deals. Strong hands-on experience with OAuth2 and GraphQL, data migrations, and product integrations Excellent communication skills—able to present complex technical concepts clearly to both engineers and executives Experience with Github ...

Savings etc. Experience in participating in the Software Development Lifecycle (SDLC) Experience in planning releases based on MVPs and desired client outcomes Knowledge of data models Knowledge of Investment Management Experience in UI and API designs and best practices to allow successful client consumption Compliance with GBST policies … work in both Waterfall and Agile development environments Desirable experience and skills Knowledge of SQL, XML UX design skills High level understanding of Composer data model Workflow experience Experience in compliance requirements of the relevant Industry Participated in legislative work groups (eg ATO or HMRC) Testing skills Training skills ...

FalconSmartIT in Edinburgh is seeking a Sr. Snowflake Architect to lead the enterprise data strategy, target-state blueprints, and modernization programs on the Snowflake AI Data Cloud. You will govern modeling standards and cross-platform migrations with hands-on Snowflake expertise. The role requires deep data modeling …/ETL orchestration, and security-by-design governance, with a focus on AI-ready architectures and scalable data foundations. Hybrid work with two days on site is offered. #J-18808-Ljbffr ...

About the Role Turn data into actionable insights that help us grow. You'll work across teams to answer key business questions and build dashboards that drive decision-making. What You'll Do Analyze user behavior and product metrics Build dashboards and automated reports Support A/B testing … experimentation Identify trends and growth opportunities Collaborate with teams to define KPIs What We're Looking For 2+ years in a data analysis role Experience with BI tools (Metabase, Looker, or similar) Understanding of statistical concepts Ability to communicate insights clearly Nice to Have Python or R for analysis ...

leading consulting firm is seeking an experienced SAP Data & Analytics Lead to oversee the design and implementation of data models and analytics solutions. The role requires at least 10 years of experience, particularly in SAP Datasphere and Analytics Cloud. You will collaborate with finance teams to create scalable … data solutions, mentor junior developers, and ensure alignment with business KPIs. This position is hybrid, based in London, offering a competitive salary of £80 - £90 per year. #J-18808-Ljbffr ...

this role, you'll: Own delivery of a live SAP HCM transformation or S/4HANA migration engagement end-to-end – from early data-scope assessment and solution design, through build and testing, to go-live and post-go-live support. Act as the primary point of contact … client on the SAP data model, advising on solution approach and roadmap. Get involved before the project is signed where relevant – supporting pre-sales conversations on scope, approach, and feasibility for prospective clients. Lead the day-to-day coordination with the Project Management Office (PMO) and any other consultants ...

Project Global Limited, on behalf of a major client, seeks a GCP Data Architect for a hybrid role based in Bristol, UK. The contract is 8 months with remote UK work and 2 days per week in the Bristol office. Day rate competitive, to start asap. You will lead … architecture for cloud-native data solutions on GCP, shaping data models, governance, and delivery roadmaps across finance transformation programmes. #J-18808-Ljbffr ...

development and optimization of dashboards and reporting solutions using QlikView, Qlik Sense, Power BI and other tools. Working with stakeholders and the Head of Data, you'll translate business needs into scalable data models, load scripts and insightful visuals, ensuring data quality and governance. #J-18808-Ljbffr ...

About Neo4j Neo4j is the graph intelligence platform that transforms data into knowledge to power the next generation of intelligent applications and AI systems. It includes enterprise-ready knowledge graphs for accurate, explainable, and governed AI; the most comprehensive, trusted, and easy-to-deploy graph capabilities across any environment … data source; and an unmatched ecosystem trusted by 84 of the Fortune 100 and supported by the world’s largest graph community. Intelligence that works. Results that matter. Built to work everywhere and integrate with everything across every cloud for dynamic, personalized, and autonomous AI systems. We deliver quicker ...

leading fintech company based in London is seeking a Data Analytics Engineer to enable key insights on product performance and establish a single source of truth for metrics. This role involves designing and implementing scalable data models, collaborating with product teams, and ensuring data quality governance. … successful candidate will have significant experience in data modeling, analytics engineering, and SQL proficiency. The position follows a hybrid working model, ensuring flexibility and collaboration. #J-18808-Ljbffr ...

finish line. With deep expertise in product and technology, we built Homa Lab, our proprietary platform that gives developers the market intelligence, data tools, and game tech, with AI built-in, to find product–market fit fast and scale mass-market games into lasting experiences players enjoy for years. … flywheel: Homa Lab helps studios spot the right ideas early, turn them into games quickly, and reach millions of players. Every launch brings back data and insights that fuel the next hit, making each turn of the loop faster, smarter, and more likely to win. AI supercharges this process ...

world interacts with value. Our open banking platform powers leading companies, such as Adyen, Intuit QuickBooks, and Google. By delivering payment initiation, bank data access, and pre-built products, we enable businesses to innovate fast and push the boundaries of financial technology. As an early pioneer of open banking … standards, and own the contracts other teams depend on, so they can build quickly without reinventing the basics. You'll also own the data products built on that foundation, like analytics and reporting, and the enterprise capabilities that take Yapily upmarket. You'll work alongside engineering, and partner with ...

Information team. The role covers the full BI lifecycle from ingestion and modeling to delivering insights via Power BI, with a focus on mature data environments and scalable, maintainable solutions. The position offers a hybrid work pattern (office 3 days, home 2 days) after probation, working with Python ...

customer project focused on operational excellence across CRM and revenue systems. You'll use your CRM expertise to evaluate real-world SaaS operations, resolve data and process inconsistencies, and help improve how AI systems understand complex business workflows. No prior AI experience is required. Scope of Work Audit … integrated revenue systems for inconsistencies, outdated policies, duplicate records, and automation issues. Analyze policy conflicts and determine appropriate business rules. Review and reconcile data across CRM and connected platforms. Create clear operational prompts and documentation for complex SaaS scenarios. Document recommended system changes and operational decisions. Assess the impact ...

customer project focused on operational excellence across CRM and revenue systems. You'll use your CRM expertise to evaluate real-world SaaS operations, resolve data and process inconsistencies, and help improve how AI systems understand complex business workflows. No prior AI experience is required. Scope of Work Audit … integrated revenue systems for inconsistencies, outdated policies, duplicate records, and automation issues. Analyze policy conflicts and determine appropriate business rules. Review and reconcile data across CRM and connected platforms. Create clear operational prompts and documentation for complex SaaS scenarios. Document recommended system changes and operational decisions. Assess the impact ...

customer project focused on operational excellence across CRM and revenue systems. You’ll use your CRM expertise to evaluate real-world SaaS operations, resolve data and process inconsistencies, and help improve how AI systems understand complex business workflows. No prior AI experience is required. Scope of Work Audit … integrated revenue systems for inconsistencies, outdated policies, duplicate records, and automation issues. Analyze policy conflicts and determine appropriate business rules. Review and reconcile data across CRM and connected platforms. Create clear operational prompts and documentation for complex SaaS scenarios. Document recommended system changes and operational decisions. Assess the impact ...

customer project focused on operational excellence across CRM and revenue systems. You'll use your CRM expertise to evaluate real-world SaaS operations, resolve data and process inconsistencies, and help improve how AI systems understand complex business workflows. No prior AI experience is required. Scope of Work Audit … integrated revenue systems for inconsistencies, outdated policies, duplicate records, and automation issues. Analyze policy conflicts and determine appropriate business rules. Review and reconcile data across CRM and connected platforms. Create clear operational prompts and documentation for complex SaaS scenarios. Document recommended system changes and operational decisions. Assess the impact ...