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Data Engineer (f/m/x) in Satellite Analytics

Confidential company · Berlin · Posted Jul 23, 2026

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Public summary

Join a leading satellite analytics company in Berlin to build and maintain the data backbone of a product monitoring critical infrastructure such as pipelines and power grids. This role focuses on developing reliable backend services, managing cloud infrastructure on AWS, and handling geospatial data delivery. Work with a diverse international team using modern technologies including Python, FastAPI, PostgreSQL/PostGIS, and Prefect orchestration to convert remote sensing outputs into actionable customer insights.

Location and work setup

Location
Berlin
Remote status
Hybrid
German requirement signal
No German Required Detected
Detected job language
English

Responsibilities

Co-own and extend delivery-management and insight-generation backend services; maintain AWS and Prefect orchestration platforms ensuring reliability and repeatability; manage spatial databases including schema and migrations; troubleshoot and maintain pipeline reliability; automate data quality assurance and metadata management.

Qualifications

Proficient in Python production development; experience with backend frameworks like FastAPI, database ORM tools such as SQLAlchemy; knowledge of PostgreSQL/PostGIS spatial data management; practical AWS usage (S3, Lambda, EC2); familiarity with orchestration tools like Prefect or Airflow; comfortable with geospatial raster/vector data handling; strong operational and reliability mindset; bonus skills include distributed compute frameworks, ML experiment lifecycle tools, remote sensing knowledge, and observability.

Skills

Python FastAPI Uvicorn SQLAlchemy Alembic Pydantic PostgreSQL PostGIS GeoAlchemy2 AWS (S3, Lambda, EC2) Prefect Ray/Anyscale GDAL Rasterio GeoPandas Shapely STAC Cloud-Optimised GeoTIFF MLflow Distributed Computing Observability Satellite APIs