If you're passionate about making a positive impact through Earth Observation and contributing to a healthier and more secure environment, we'd love to hear from you. Our workplace encourages innovation, creativity, and collaboration, providing a dynamic setting in a diverse team for those who want to play a role in meaningful projects. If you're excited about contributing, come and explore opportunities with us. Let's make a difference together!

As a Geospatial Machine Learning Engineer, you will contribute to the development of Marble’s EO analytics stack and help transform large volumes of satellite imagery into scalable geospatial intelligence products. You will design and implement machine learning and AI-based computer vision models that extract meaningful information from multispectral and SAR satellite data.
Your main tasks:
Implementation of machine learning, AI and computer vision models for geospatial applications
Development and optimization of scalable processing pipelines for large volumes of Earth Observation data
Integration of machine learning models into Marble’s geospatial data processing infrastructure and analytics
platform
Processing and analysis of Earth Observation imagery (multispectral and SAR) and derived datasets to
support operational geospatial analytics products
Evaluation and validation of models with benchmark datasets
Contribution to documentation, technical proposals, and internal development roadmaps
Are you interested? A full job description with all the requirements and benefits Marble has to offer can be downloaded below.
Lead the satellite mission system engineering activities from development over launch untill mission completion, including space segment, ground segment and launch segment:
Your main tasks:
Are you interested? A full job description with all the requirements and benefits Marble has to offer can be downloaded below.
As a Frontend Developer, you will contribute to the development of Marble’s web-based geospatial data platform that enables users to access, explore, and interact with satellite imagery and Earth Observation analytics. Technologies you may work with include TypeScript, modern frontend frameworks, mapping libraries, and APIs serving large geospatial datasets. You will design and implement intuitive user interfaces for visualizing large geospatial datasets and interacting with EO-based insights. Working closely with geospatial data scientists, AI engineers, and backend developers, you will help translate complex Earth Observation data into responsive and user-friendly applications.
Your main tasks:
Development of modern web interfaces for accessing and interacting with satellite imagery and geospatial
datasets
Development of intuitive user interfaces for exploring, analyzing, and downloading geospatial data products
Translate Figma wireframes to production ready web applications
Integration of frontend applications with backend APIs and geospatial data services
Optimization of performance and usability when handling large geospatial datasets
Collaboration with geospatial data scientists, backend developers, and product teams to translate user needs into effective software solutions
Implementation of responsive and user-friendly interfaces for professional and institutional users
Are you interested? A full job description with all the requirements and benefits Marble has to offer can be downloaded below.
As a cloud specialist, you will contribute to the design, implementation and maintenance of Marble’s cloud infrastructure for our data processing and dissemination pipeline to enable Marble satellite images and analytics to be distributed to our customers. Technologies you may work with include Temporal, Docker, Kubernetes, Python, GeoTIFF, COG.
Your main tasks:
Design, implement, and maintain the Marble cloud infrastructure supporting EO data processing and dissemination pipelines
Develop and operate scalable infrastructure for processing, storing, and distributing large volumes of geospatial data
Deploy and manage containerized services using technologies such as Docker and Kubernetes
Implement and maintain workflow orchestration and task scheduling systems (e.g. Temporal) for automated data processing pipelines
Support the integration of geospatial data processing workflows and analytics engines into cloud-based infrastructure
Optimize system performance, reliability, and scalability for handling large geospatial datasets such as GeoTIFF and Cloud Optimized GeoTIFF (COG)
Work closely with backend developers, data scientists, and geospatial engineers to ensure efficient data processing and delivery of EO data products
Contribute to monitoring, logging, and operational tooling to ensure reliable operation of cloud services
Are you interested? A full job description with all the requirements and benefits Marble has to offer can be downloaded below.
As a Backend Developer, you will contribute to the development of Marble’s geospatial data platform that enables users to access, search, and analyse large volumes of satellite imagery and Earth Observation analytics. You will design and implement backend services that support the ingestion, cataloguing, and delivery of geospatial datasets and derived analytics products. Your work will focus on building reliable APIs, efficient data services, and backend infrastructure capable of handling large Earth Observation datasets and supporting advanced geospatial applications.
Your main tasks:
Design and implement backend services for accessing and managing large Earth Observation datasets
Develop APIs and services that enable search, retrieval, and processing of geospatial data products
Contribute to the development and operation of a cloud-deployed geospatial data portal providing access to satellite imagery and analytics products
Integrate and support analytics engines and geospatial processing services that power data analysis and insights within the platform
Implement and maintain geospatial data catalog services (e.g. STAC) , efficient access to large raster datasets such as Cloud Optimized GeoTIFFs (COGs), and to vector datasets
Deploy and maintain backend services using containerized cloud infrastructure (e.g. Docker/Kubernetes)
Collaborate with frontend developers and data scientists to enable seamless access to EO data and
analytics capabilities
Ensure performance, reliability, and maintainability of backend services and cloud-based infrastructure
Are you interested? A full job description with all the requirements and benefits Marble has to offer can be downloaded below.
As a Data Processing Scientist, you will contribute to the development and improvement of the data processing chain for Marble’s satellite payload. Your work will focus on ensuring the quality, consistency, and scientific reliability of Earth Observation data products derived from the onboard imaging instruments.
Your main tasks:
Development and improvement of processing methods for optical Earth Observation data from spaceborne
sensors
Implementation and validation of radiometric and geometric correction methods for satellite imagery
Support the development of calibration approaches to ensure consistent image quality across acquisitions
Analysis and evaluation of multispectral imagery to monitor and improve data quality and sensor performance
Contribution to the development of operational satellite data processing workflows
Collaboration with payload engineers, software developers, and geospatial analytics teams to optimize the usability of satellite data products
Support verification and validation activities for Earth Observation data products
Are you interested? A full job description with all the requirements and benefits Marble has to offer can be downloaded below.
As a working student you will be part of the marketing team and will work closely together with Marble’s business development team.
Your main tasks:
Design and production of infographics, videos, flyers and other marketing material
Design and maintenance of PowerPoint and Word-Templates
Shooting videos and post production
Are you interested? A full job description with all the requirements and benefits Marble has to offer can be downloaded below.
As a working student you will be part of the Business Development and Marketing team.
Your main tasks:
Collaboration and support regarding business development for geospatial data products in the form of market
research, customer engagement/feedback, assistance with preparing proposals, and contributing to ongoing projects
Collaboration on press releases and maintenance of press contacts
Maintenance of social media platforms (mainly LinkedIn) and the Marble Imaging website
Collaboration on event planning for trade fairs and conferences
Preparing media and PR (text, graphics, videos)
Are you interested? A full job description with all the requirements and benefits Marble has to offer can be downloaded below.
As a UI and UX working student (max 20 hours/week) you will help us shape our Marble geospatial portal. You would help us iterate through different wireframes and conduct user interviews to collect feedback.
Your main tasks:
Create and refine wireframes, mockups for our geospatial portal
Translate user requirements into intuitive and visually clear interface designs
Improve usability and user experience for complex data-driven applications
Conduct user interviews to collect and document feedback on the mockups
Ingesting the feedback and reflecting in follow up mockup iteration(s)
Document design elements’ source
Are you interested? A full job description with all the requirements and benefits Marble has to offer can be downloaded below.