Staff Data Science Engineer - Processing (m/f/x)

Job description

UP42 is changing the way geospatial data is accessed and analyzed. The developer platform and marketplace bring together multiple sources of data such as satellite imagery, weather data, and more—with algorithms to identify objects, detect change, and find patterns. Industry leaders use UP42 to inform business decisions and build scalable customer solutions.

We are looking for a Staff Data Science Engineer - Processing Team (m/f/x) to join our motivated team in Berlin.

Here you can access our tech radar to better understand the tech stack we are using.

About the role:

  • Create and implement algorithms that let customers extract valuable insights from geospatial imagery - shaping the future of geospatial analytics

  • Contribute to engineering management with cohesive plans to deliver on the product roadmap while prioritizing technical backlog

  • Mentor for the teams in the product vertical, collaborates with engineering management on developing the careers of other colleagues

  • Evaluate and improve the quality of UP42 and partner algorithms at scale

  • Closely collaborate with the CTO and Product team to align work streams and platform functionality goals

  • Own the architecture of the Processing vertical and guide backend and frontend engineers with relevant new platform features

  • Mentor more junior Python engineers on the team on how to build quality software at scale, define frameworks and best practices, guide external stakeholders

Technologies used by the Processing team:

  • Python 3.8 (Numpy, (geo)Pandas, rasterio, tensorflow, shapely, PEP8)

  • Docker

  • GDAL

  • CircleCI

  • AWS, GCP

  • STAC

  • COG

Job requirements

About you:

  • Experience in the geospatial industry and with large satellite image and vector datasets

  • Several years of experience and demonstrated understanding of the full software development lifecycle including testing, CI/CD and object oriented programming

  • Experience working in a similar position of Staff/Principal Data Science Engineer

  • Experience with Docker, APIs, cloud providers, microservices

  • You like to learn, apply new technologies, communicate with different teams and stakeholders, are solution-oriented but also able to give critical feedback

  • Experience working in an agile environment

  • Experience with Cloud Native Geospatial (COG, STAC) is a plus

  • Experience with machine learning & computer vision (e.g. sklearn, tensorflow) is a plus

  • Fluency in English

About us:

  • The chance to shape the state of the art geospatial processing platform and create a completely new planetary perspective

  • Hybrid and flexible working model - you can choose to work from the comfort of your home or join your colleagues in our modern office in the heart of Kreuzberg

  • Inspiring international team, fun and productive environment

  • Competitive salary package and other great benefits

  • Regular team events, team updates and get-to-gathers

  • Development budget: we help you grow and you grow UP42!

  • Challenges, space for creativity and taking ownership

Does this sound like a good next step into your geospatial career? If so, we look forward to receiving your application in English.


Our culture is one of belonging, where everyone feels welcome and where differences are celebrated. We seek to recruit the best talent regardless of age, gender, ethnicity, disability, sexual orientation, gender identity, socio-economic background and/or belief—and strongly encourage people from underrepresented groups to apply. We also value more than the skills and experiences outlined in this job description. Even if you think you only fill 60% of the requirements for this role - we would still like to consider your application.