
The client is a leading international consulting company specializing in real estate, infrastructure, and industrial sector solutions. Headquartered in Stuttgart, Germany, they operate in over 60 locations worldwide with approximately 6,000 employees.
They are recognized for their strong focus on sustainability, digital transformation, and industrial modernization, delivering cost-efficient, future-ready solutions tailored to complex enterprise environments.
This initiative brings a physical exhibit to life online, transforming it into an interactive 3D experience centered on a coastal/waterfront environment. Through a navigable underwater terrain dotted with points of interest, visitors are guided through storytelling that highlights climate change, rising sea levels, and the marine ecosystems affected by them - supported by dynamic, time-based data overlays such as sea-level trends, ecological indicators, and environmental monitoring data.
The platform serves two audiences: the general public, who engage with an immersive, educational visualization; and professional content teams, who use an authenticated CMS interface to curate narratives, manage content, and reuse educational modules across future initiatives.
Technically, the platform combines a Next.js/React frontend, Three.js/React Three Fiber for 3D rendering, a Strapi (Node.js) headless CMS backend with Redis caching, and Blender-produced 3D assets — integrated with an external dataspace via a participant agent. Delivery is structured across 5 phases: Onboarding, Core Components & Demo, Scenarios for Professionals, Public-Facing Adaptation, and Operational Improvement.
Multidisciplinary product and engineering team, combining web development, 3D visualization, content management, data integration, and UX/storytelling.
Analyze and design of our Business Intelligence Solutions with the focus on the SQL Data Warehouse (DWH) and Fabric Medallion architecture
Support and maintenance of the existing BI environment
Create jobs for batch processing of data from internal and external sources
Develop complex SQL queries and database objects (stored procs, views, etc.) to manipulate data
Develop complex ETL processes (data pipelines, notebooks, python scripts, and SSIS packages) to move and translate data
Interface with other teams and departments to develop new and modify existing reporting applications
Experience in Microsoft SQL Server, Data Warehouse, Azure, and Fabric, ETL, SQL and python development
Strong Data analysis and data migration skills, as well as experience with data conversion, transformation, and query optimizations
Proficient in system analysis, debugging, and defect fixing
Proactive, strong entrepreneurial attitude and passion for data
Able to work independently and under pressure
Fluent in written and spoken English (Spanish and German are an advantage)