751 to 759 of 759 Data Modelling Jobs in England

discussions. Develop technical scopes of work and solution architecture documentation aligned with client objectives. Create detailed project documentation, including requirements gathering notes, process maps, data models, and interface specifications. Communication and Collaboration: Communicate effectively with both technical and non-technical stakeholders across Slack, Missive, Airtable, and other collaboration platforms. … SaaS implementations, software consulting, or systems integration. Experience managing client-facing technical projects from scoping through delivery. Strong understanding of Airtable’s capabilities, including data modeling, automations, and interface design, or eagerness to quickly become an Airtable expert. Ability to translate business processes into technical requirements and solutions. Exceptional ...

stop there! Are you a backend engineer who thinks in systems and in products? Do you obsess over clean architecture, scalable APIs, and solid data models, but care deeply about what those systems actually enable for the person using them? Have you got the battle scars of building something … something. ⚙️ Backend-strong, with genuine fullstack capability. You're at your best in the systems layer, but you're not precious about it. APIs, data models, infrastructure — that's your home ground, but you can venture forward when you need to. Language? Bring what you're great at. ⏱️ 5+ ...

global leader in consulting, technology services, and digital transformation, committed to delivering positive change through technology and human collaboration. They are seeking two experienced Data Analysts to join their As-Is Mapping Team. The successful contractors will help deliver a detailed "As-Is" view of Asset Management processes across … process mapping for Asset Management across SAP and non-SAP systems. Facilitate and capture outputs from business and technical workshops. Document current operational processes, data flows, and key pain points. Identify and document system-agnostic business requirements. Define the scope of data objects used throughout Asset Management processes. ...

join their team. The company is building an AI-powered product helping millions of households manage and optimise their bills, combining agentic communication, GenAI data extraction, workflow orchestration, and recommendation systems. This is not a traditional PM role, as you’ll be the first Product Manager for the Platform … squad, owning the roadmap and direction of the systems that power the entire product: orchestration workflows, APIs, data models, and shared services used by multiple teams. You’ll work closely with a small team of engineers and operate in the intersection between product and engineering, using modern AI tools ...

stack architectures from scratch Develop backend services using Encore TS (experience with Express is highly transferable and sufficient) Build and consume APIs, ensuring clean data flow between front-end and back-end Work with PostgreSQL and Prisma for data modeling and persistence Deploy and maintain services on Google … Google Cloud Platform (GCP) Capacitor for mobile development Comfortable working across both front-end and back-end codebases Experience working with APIs and structured data Familiarity with Git and common version control workflows Proactive, curious, and comfortable working in a small, fast-moving startup team Bonus Points Experience with ...

doing As a Senior Software Tester , you will: Carry out hands-on manual testing across Power Platform solutions Test Power Automate workflows, Dataverse data models, business rules, and security roles Identify defects early and clearly communicate root cause and impact Support and shape User Acceptance Testing (UAT) with internal … Essential Proven experience as a Senior Software Tester or QA/Test Engineer in a software delivery environment Strong understanding of low-code, data-driven, and configuration-based applications Experience testing workflows, business logic, and integrations Confidence influencing developers and embedding quality-first ways of working Pragmatic mindset – balancing ...

Business Suite, HANA Database, and Archive Server administration Good understanding of ArchiveLink architecture, Storage Categories, and basic ABAP for analyzing archiving objects. Data Modeling and Architecture: Proficiency in creating conceptual, logical, and physical data models, and designing the overall data infrastructure. Run production archiving/ILM jobs … audit trails, legal holds, defensible deletion processes, and policy documentation. Your responsibilities: The SAP Archive Specialist owns the design, implementation, and run of SAP Data & Document Archiving and Information Lifecycle Management (ILM) across ECC, S/4HANA, and BW/4HANA landscapes. The role integrates SAP with OpenText (Archive ...

remote working will be considered. Key Responsibilities: Solution Architecture: Define and own the end-to-end technical architecture for Revenue Cloud implementation Design scalable data models, integration patterns, and system interfaces Establish architectural standards, design patterns, and best practices Review and approve all major technical decisions and design proposals … modern development practices and tooling. Integration Architecture: Design integration architecture between Revenue Cloud and enterprise systems (Netsuite, MDM, Workflow ingestion) Define API contracts, data flows, and error handling strategies Ensure integration patterns support scalability and reliability requirements Collaborate with IT and Integration teams on cross-system design decisions. Governance ...

platform used by leading organisations across chemicals, materials science, pharmaceuticals, and advanced manufacturing . Their mission is to help scientists better structure complex data, accelerate experimentation, and bring products to market faster. The business is global, scaling rapidly, and known for combining strong scientific depth with modern, intuitive technology. … partner‐led LIMS/ELN implementations Act as the technical and scientific escalation point for delivery partners Design, review, and validate complex scientific data models and workflows Support partners through challenging, real‐world implementation scenarios Build and deliver partner onboarding, training, and enablement programmes Run technical and scientific workshops ...