Freelancer (Earth Observation) Data Engineering (m/f/d)


Breeze Technologies develops a cloud analytics platform for environmental data and offers low-cost air quality sensors for large-scale indoor and outdoor deployments – 1.000 X cheaper than industry-standard solutions. The startup’s smart algorithms suggest the most efficient and effective air quality improvement measures, connect customers to intervention partners if necessary and track the success of implemented and ongoing interventions for the two targeted customer segments, smart buildings and smart cities.

We are looking for a freelancer in data engineering for a project in earth observation data integration. During this three-month period, our goal is to integrate Copernicus (e.g. Sentinel-5P) air quality data into our technical infrastructure of Breeze Technologies and enable our software developers to implement exciting new features for our customers based on the data.


– Data engineering following agile methods;

– Development and improvement of our data infrastructure;

– Setup of automated data pipelines.


– Passion for data engineering;

– Understanding of software architecture;

– Understanding of earth observation data (meteorology, climate, atmosphere);

– Project or job experiences in programming/data engineering;

– Experience with source control management;

– Proficiency in development with Python;

– Proficiency in using database management systems;

– High self-sufficiency, proactive working methods.


– Work on a great product in one of the most innovative startups in Hamburg;

– A great and dynamic team;

– A flexible work schedule;

– Your own responsibilities and projects from day one;

– Future career opportunities in our growing team.


At Breeze, we are always striving for a cleaner environment and a better tomorrow. That is what motivates us every day. Think Breeze is right for you? Then:

We are looking forward to your application.

Apply now by email at Please attach your CV, work samples (if available) and a cover letter explaining what kind of experience you made and what level of expertise you have in working with earth observation data.

N.B. Applications may only be submitted in German or English.