We are looking for a Senior Data Engineer to build the high-performance data backbone for our multitemporal, multimodal Earth observation models.

Requirements

Strong Software Engineering: Mastery of Python with a focus on clean, maintainable, and testable code.
Data Orchestration & Compute: Proficiency in using Prefect (or Airflow) and distributed computing frameworks like Ray or Anyscale.
Cloud & Big Data: Deep expertise in AWS infrastructure and Databricks for large-scale data processing.
Database Management: Strong knowledge of PostgreSQL and managing complex metadata at scale.
Geospatial Stack: Experience with GDAL, Rasterio, GeoPandas, and STAC for handling Earth Observation data is a plus.
ML Integration: Familiarity with PyTorch Lightning and MLflow to better support the ML R&D lifecycle is a plus.
SAR Experience: Basic knowledge of SAR preprocessing libraries and data formats is a plus.

Benefits

Flexible working hours and hybrid work model - we trust our employees to get their work done while maintaining a healthy work-life balance.
We empower employees to drive their own career development, take initiative and have the freedom to be creative and bold.
Not an overtime culture - we take care that overtime is done only as a necessity and always offset with time off and rest.
A collaborative and learning environment - frequent internal workshops, knowledge sharing sessions, journal clubs and hackathons.
Potential to participate in the employee stock option program.
Urban Sports membership and BVG subsidy, corporate pension program.
A diverse and vibrant international environment of 30+ different nationalities.

Requirements

Strong Software Engineering: Mastery of Python with a focus on clean, maintainable, and testable code.

Data Orchestration & Compute: Proficiency in using Prefect (or Airflow) and distributed computing frameworks like Ray or Anyscale.

Cloud & Big Data: Deep expertise in AWS infrastructure and Databricks for large-scale data processing.

Database Management: Strong knowledge of PostgreSQL and managing complex metadata at scale.

Geospatial Stack: Experience with GDAL, Rasterio, GeoPandas, and STAC for handling Earth Observation data is a plus.

ML Integration: Familiarity with PyTorch Lightning and MLflow to better support the ML R&D lifecycle is a plus.

SAR Experience: Basic knowledge of SAR preprocessing libraries and data formats is a plus.

Benefits

Flexible working hours and hybrid work model - we trust our employees to get their work done while maintaining a healthy work-life balance.

We empower employees to drive their own career development, take initiative and have the freedom to be creative and bold.

Not an overtime culture - we take care that overtime is done only as a necessity and always offset with time off and rest.

A collaborative and learning environment - frequent internal workshops, knowledge sharing sessions, journal clubs and hackathons.

Potential to participate in the employee stock option program.

Urban Sports membership and BVG subsidy, corporate pension program.

A diverse and vibrant international environment of 30+ different nationalities.