Earth Observation (EO) & Remote Sensing Engineer (m/f/d)

RE-Managers GmbH; United States; On-site; USD 73,000 - 106,000; Full time

Benefits offered by this job

Long-term career stability

Master/Trainee track

Accommodation & onboarding package

Visa support

Modern geospatial tech environment

Job summary

Project IRIS is seeking an Earth Observation Engineer to build automated pipelines for processing Sentinel-1/2 data and to develop algorithms that detect surface changes, vegetation indices, and thermal anomalies.

The role requires a strong background in remote sensing, geoinformatics, and Python with libraries like Rasterio, xarray, or GDAL. Hybrid/remote work in Germany with visa support offered.

Qualifications

• Degree in Remote Sensing or related field.
• Experience with Landsat or Sentinel data processing.
• Strong Python with geospatial libraries.

Responsibilities

• Build automated pipelines for Sentinel-1/2 data.
• Develop algorithms to detect surface changes and indices.
• Integrate raster metadata and COGs into PostGIS.

Skills

Satellite data processing

Python (Rasterio/xarray/GDAL)

Geoinformatics

Remote Sensing

Education

Degree in Remote Sensing

Degree in Geoinformatics

Degree in Data Science

Degree in Physics

Tools

Rasterio

Xarray

GDAL

PostGIS

Job description

Earth Observation (EO) & Remote Sensing Engineer (m/f/d)

Location: Germany (Hybrid / Remote options available)

Contract Type: Full-Time Employment (Permanent)

Target Group: Remote Sensing Specialists, Data Scientists, Physicists, Opportunity Card Holders, and Master's Graduates

About Project IRIS
Project IRIS develops AI-supported spatial resilience and geospatial data models for the energy transition. To breathe dynamic life into our static infrastructure data, we integrate global earth observation data into our central inference engine. In this role, you will add the dimension of real-time surface activity and physical states to our spatial intelligence models.

Your Focus & Responsibilities

• Satellite Pipelines: Build automated pipelines to fetch and process Sentinel-1 (Radar/InSAR) and Sentinel-2 (Multispectral) data via the Copernicus Data Space Ecosystem.


• Algorithm Development: Develop algorithms to automatically detect surface changes, vegetation decline, moisture indices (NDVI/NDWI), and thermal anomalies.


• Data Integration: Seamlessly integrate derived raster metadata and Cloud-Optimized GeoTIFFs (COG) into our central PostGIS vector database.

What We Are Looking For

• Technical Background: Degree in Remote Sensing, Geoinformatics, Data Science, Physics, or equivalent practical industry experience.


• Core Technical Skills: Deep practical experience in processing satellite data (Landsat, Sentinel) using Python libraries such as Rasterio, xarray, or GDAL.


• Mindset: An analytical mindset capable of deriving tangible ecological, thermal, and structural factors from raw pixel values.


• Eligibility: Open to local applicants and international candidates (Chancenkarte / Opportunity Card supported).


• Languages: Professional working proficiency in English (required); German language skills are a plus.

What We Offer

• Full-Time Permanent Employment: Long-term career stability with clear growth trajectories.


• Dual Master / Trainee Track Available: Tailored tracks including academic coordination and complete tuition support.


• Accommodation & Onboarding Package: Structured assistance with local accommodation, official registration, and comprehensive onboarding.


• Visa & Administrative Backing: Dedicated employer support for Opportunity Card conversions and visa applications.


• Modern Tech Environment: Work in a high-efficiency environment focused on cutting-edge geospatial intelligence.