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UrbanDataLab AG
IT-Architect/Backend-Engineer (60% - 100%)
Employment type
Languages
Your Role
An exciting and dynamic role as leading IT-Architect, delivering a scalable platform for global analysis and visualisation:
- You translate our data storage and processing requirements into state of the art database solutions, with a minimum of guidance.
- You give support to our clients and implement client-specific solutions in form of standardized API’s.
- You manage the security and users access to our infrastructure.
- You continuously evaluate alternatives and optimize the performance .
What we look for
- A University degree (Msc or PhD) in computer science or equivalent
- 3+ years of working experience with:
- PostgreqSQL/PostGIS and cloud-based storage solutions (AWS, Azure, GCP)
- API design, maintenance, documentation and testing (DjangoREST, WMS, WFS, WCS,etc.)
- Linux, BASH command line and admin experience.
- Docker, Kubernetes, Spark
- Experience with geoprocessing of spatial data (Vector/Raster) is a big plus
- Experience on geoserver, tileserver or similar spatial data backends a plus
- Advanced knowledge in at least one of these programming languages (Python, Java, R)
- Basic knowledge of machine learning concepts is a plus
- Excellent English skills, both written and spoken
What we offer
- Young and ambitious Startup located in Zurich
- Low bureaucracy and open for new ideas
- Professional training and exchange with experts
- High potential to grow into management positions
- Flexible working hours and remote work are possible
How to apply
- Please submit your application via hr@urbandatalab.net. Don‘t hesitate to contact us if you have any questions.
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UrbanDataLab AG
https://urbandatalab.ch/UrbanDataLab AG is a Zurich-based deep tech startup in the geospatial data and analytics space. The core technology is based on years of advanced data science & research at ETH Zurich, one of the top 7 science and engineering universities globally. Increase in geospatial & geographic information system data as well as remote sensing data and rise in need to extract meaningful information from this data drive the growth of the $58 billion geospatial analytics market to more than $150 billion in the next 10 years. Today this market is still dominated by highly specialized systems and experts. Our ambition is to unlock this market potential and to become the leading AI-powered platform for location analytics and business intelligence that allows - everyone - to extract meaningful insights from geospatial data.