Junior Earth Observation & Geospatial Data Scientist (m/f/d)
Location: Bremen, Germany Hours: Full-time Start: Q4 2026 / Q1 2027
About CinSOIL
CinSOIL is a deeptech startup developing data-driven tools for soil carbon monitoring and carbon farming. We combine satellite Earth Observation, process-based modelling, and AI to deliver credible, scalable solutions for carbon certification and regenerative agriculture. Our stack is Python-first, cloud-native, and built on in-house data and algorithms infrastructure.
By joining CinSOIL, you will join a collaborative, curious, and mission-driven team that combines scientific expertise, engineering, and entrepreneurial thinking. We believe that solving complex challenges in soil and climate requires not only strong technical skills, but also open communication, diverse perspectives, and a willingness to learn from each other. We are united by the ambition to build technology that creates real impact for climate and regenerative agriculture. We value ownership, trust, and a pragmatic, hands-on spirit – and we enjoy working together, sharing ideas, and tackling difficult problems as a team.
We are based in Berlin and Bremen. In Bremen we are part of ESA BIC Northern Germany, and this position is based in Bremen.
The Role
You will join our EO analytics team and support the development, maintenance, and quality assurance of geospatial data pipelines, working closely with our Senior EO Data Scientist. You will get hands-on with real satellite data and production pipelines from day one, with plenty of room to grow into more independent ownership as you build experience.
This position is contingent on the finalisation of an upcoming ESA contract, whose deliverables involve close collaboration with the contract’s stakeholders.
What You’ll Work On
● Supporting the development and maintenance of Python-based pipelines for processing satellite imagery at scale
● Running and QA-ing time series analysis of multispectral and SAR data over agricultural areas
● Data preparation, validation, and documentation for algorithm development
● Spatial data management using geospatial libraries and databases
● Contributing to testing and validation against ground reference data
What We’re Looking For
Required:
● Degree (or near-complete) in geoinformatics, remote sensing, environmental science, data science, or similar
● Solid Python skills, including exposure to geospatial libraries (e.g. rasterio, geopandas, xarray, shapely)
● Familiarity with satellite EO data (Sentinel mission in particular)
● Understanding of basic remote sensing concepts
● Comfortable working in a Linux/bash environment and with version control (Git)
● Eagerness to learn and grow into a more senior EO role over time
Nice to have:
● Experience with openEO or similar cloud EO processing frameworks
● Familiarity with STAC catalogues and cloud-optimised data formats (COG, Zarr)
● Prior project or thesis work involving time series methods applied to geospatial data
● Knowledge of agricultural applications of EO or land surface monitoring
What We Offer
● Direct involvement in applied EO research with real-world impact in climate and agriculture
● Close mentorship from our Senior EO Data Scientist and flat hierarchy with the technical lead
● A clear growth path as you build experience and the company scales
● Opportunities to participate in AgriFood- and space-related events (e.g. Space Tech Expo Europe, EU Carbon Farming Summit, Agritechnica, etc.), nationally and internationally
● Based in Bremen, with close collaboration with the ESA BIC Northern Germany community
● Salary range: €42–50k gross/year depending on seniority
Sounds Like You?
Send a short introduction and your CV to [[email protected]]. Please write the cover letter yourself, and tell us briefly what you’ve worked on and what interests you about this role.
A typical selection process includes an initial screening followed by two interviews to assess candidates’ qualifications, experience, and suitability for the role.
Gehalt: 42.000,00€ - 50.000,00€ pro Jahr
Arbeitsort: Zum Teil im Homeoffice in Bremen
