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Senior Data Engineer Python/ML/AWS (m/f/d)- Remote

fully flexible

Remote:

Full Remote

Contract:

Full time

Salary:

38 - 38K yearly

Experience:

Mid-level (2-5 years)

Work from:

Germany

Offer summary

Qualifications:

4+ years of experience in data engineering, Proficient in Python and SQL tools, Familiar with ML-Ops, Docker, and AWS, Experienced in building machine learning products, Fluent in English.

Key responsabilities:

Build and maintain data processing pipelines
Ensure performance and cost-efficiency for ML models
Automate manual processes and improve data quality
Support data acquisition for soil scientists

stenon Agriculture & Farming Scaleup https://stenon.io/

51 - 200 Employees

See more stenon offers

Job description

Who are we?

At Stenon, we are on a mission to democratize soil data. We have become the global market leader in real-time, digital soil data that is laboratory-independent. This provides farmers with essential data to make optimal and sustainable cultivation decisions, boosting yield, crop quality, and soil health while saving money on inputs. Stenon has closed a $20 million Series A funding round and is expanding internationally.

Position

We are looking for a data engineer that will enable our soil and data scientists to acquire data and to process it efficiently.

You will

Build and maintain data processing pipelines and storage
Ensure high performance and cost-efficiency when training and executing machine learning modelsÂ
Support in automating manual processes
Support in maintaining high data quality

You have

Customer Focused: You measure success by the real value your work brings to users and the business. Your job isnât done until you get positive feedback.
Experienced and Up to Code: You have 4+ years of experienceÂ building machine-learning-powered products. You write maintainable code in multiple languages (e.g., Python) and work with data processing tools like SQL, Pandas, Numpy, and ML-Ops tools (e.g., ML-Flow). Familiarity withÂ Docker and cloud environments like AWS is a plus. You choose tools and technologies that best solve the problem at hand.
End-to-end ownership: You handle every project phaseâfrom ideation and planning to coding, testing, deploying, and troubleshooting.
Problem Solver: You donât wait for detailed instructions; you start with a problem and collaborate with the team to design and test solutions.
Advanced English Skills

What we offer

Â A fully remote or hybrid work setupâwork anywhere in Germany
Permanent full-time position with flexible work hours
A role within a highly productive and supportive team full of dedicated, hard-working professionals
An agile work environment with flat hierarchies and an international team
Company provided laptop
Home office allowance
Team building and company retreats: Last year we went to Mallorca for a 3-day company retreat.
ABC Berlin/Potsdam Travel Pass, if needed
Employee referral program

Why us?

At Stenon, we empower farmers to make informed decisions for sustainable agriculture. Our team is passionate about innovation, collaboration, open communication, and excellence.

We are on a mission to make soil data accessible in real-time, thus changing how farmers can cultivate their land. To achieve this, we put our customers first and try to understand the challenges they face deeply. This will allow us to build the best possible products. We value transparency and honesty to become as performant as possible. With an open yet always constructive feedback culture, we learn from each other and improve continuously. We have high standards and reward performance, but at the same time, we want to work with positive people who treat their colleagues exceptionally well.

Interested?

Send us your application (CV or LinkedIn). Reach out to careers@stenon.io if you have any questions; we're happy to help.

Apply for this job

About us

At Stenon we are on a mission to democratize soil data. We have become the global market leader in real-time, digital soil data that is totally laboratory independent. This provides farmers with essential data to make optimal and sustainable cultivation decisions, boosting yield, crop quality, and soil health while saving money on inputs.