Junior Data Science Engineer: Digital Twin

Junior Data Science Engineer: Build the Infrastructure Behind Smart Cities (UK Based) – London | Remote-First with Quarterly In-Person Meetings They\’re Transforming How Cities Work Our client is the leading digital twin platform software company, revolutionising urban planning across 26+ cities. They\’ve already changed how architects, planners, and developers collaborate, with 90% of London\’s local authorities and leading architectural consultancies using their platform to make smarter decisions faster. Now they need a talented Junior Data Science Engineer to build the data infrastructure that powers it all. What You\’ll Actually Build Geospatial Data Pipelines That Matter * Architect and maintain complex pipelines bridging 3D software, GIS frameworks, and cloud infrastructure * Integrate data from WFS/WMS services and manage Geoserver deployments * Transform massive geospatial datasets that shape how cities are planned and built Production Systems at Scale * Optimise PostgreSQL databases handling millions of spatial records * Automate processes that currently require manual intervention * Build ETL solutions that feed real-time city intelligence to thousands of users Cross-Platform Integration * Connect 3D modelling tools, planning databases, and cloud services seamlessly * Support data migrations and system updates across complex technical stacks * Collaborate with product teams to prioritise and deliver data requirements Your Technical Growth Path Essential Skills: * Pipeline Experience: Building third-party and first-party software pipelines and ETL solutions * Database Knowledge: Working across common database implementations and cloud technologies * Version Control: Using, managing, and maintaining version control solutions * Core Understanding: Integrations, data structures, software architecture, design patterns, and Agile principles * Code Quality: Applying best practices and delivering readable, maintainable code Nice to Have: * Experience with game engines (Unity, Unreal) * GIS and 3D modelling software knowledge (Revit, AutoCAD, 3ds Max, Blender) * AWS data systems (Lake Formation, RDS, DynamoDB, ElastiCache) * Scripting language proficiency What\’s In It For You Career Acceleration: As a Junior Data Science Engineer, you\’ll work on infrastructure that supports multi-million pound urban developments, gaining exposure to problems most data science engineers never encounter. Technical Breadth: Develop expertise across 3D, GIS, and cloud technologies. This combination of skills is rare and increasingly valuable as cities digitise. Learning Environment: Work alongside senior data science engineers and cross-functional teams who\’ll accelerate your technical development * Product teams defining the future of urban planning * Platform engineers building cutting-edge spatial systems * Data scientists creating AI models for spatial intelligence Industry Positioning: Position yourself as a data science engineer who understands spatial technology, 3D workflows, and urban planning systems. Growth Trajectory: Clear path from junior to senior data science engineer roles in an expanding company working on genuinely impactful projects. Many data science engineers in this space progress quickly due to the specialized skill set. What makes this role stand out? Real Impact: Your pipelines will process data that influences how millions of people live and work in cities. Technical Challenge: Go beyond typical CRUD applications. You\’ll work with spatial databases, 3D rendering pipelines, and geospatial web services that power intelligent city planning. Future Skills: Urban planning is digitising rapidly. Build expertise in technologies that data science engineers with traditional backgrounds rarely encounter. Next Steps Ready to build the data infrastructure that shapes cities? As a Junior Data Engineer looking to make your mark in spatial technology, send us your CV and we\’ll be in touch. Our client is transforming cities through greater understanding, collaboration and trust. Join them in building the technical foundation for more intelligent urban planning