Descripción
Location: Germany (Hybrid / Remote options available) Contract Type: Full-Time Employment (Permanent) Target Group: Software Engineers, Data Engineers, Full-Stack Developers, Opportunity Card (Chancenkarte) Holders, and Master’s Graduates About Project Iris Project Iris is an applied research and technology initiative dedicated to automated spatial data analysis, cadastre intelligence, infrastructure mapping, and open-source data modeling. Together with our commercial transfer network (including RE-Managers GmbH), we bridge the gap between academic data science, resilience research, and practical real-world application. Complex geospatial and resilience data models are deployed into active enterprise environments, stakeholder portals, and infrastructure tools. The resulting real-world usage and performance metrics are continuously validated and fed back into our open research models. In this role, you turn algorithmic frameworks and spatial datasets into robust, production-ready digital architectures. Your Focus & Responsibilities - Geospatial & Core Data Modeling: Develop and refine automated pipelines for spatial datasets, open-source cadastre records, and environmental scoring algorithms using Python. - AI-Assisted Full-Stack Integration: Transform algorithmic logic into high-performance FastAPI backends and connect them with modern React/Next.js frontends (leveraging cutting-edge tools such as v0.dev , Cursor, and Windsurf). - Applied Transfer & Enterprise Workflows: Implement real-world pilot applications by connecting data models to practical workflows (e.g., automated property screening, municipal portals, and ERP/Odoo interface connections for infrastructure). - Multi-Tenant Architecture & Cloud Deployment: Package services into robust Docker multi-container environments and deploy them on secure European/Swiss server infrastructure (Infomaniak VPS) with strict Row-Level Security (RLS) and data privacy standards. - Continuous Feedback Architecture: Establish