Who We Are:
At Watergenics, we care deeply about water and the life that thrives on it. Pollution is on the rise, yet efforts to restore our blue reserves are slow. To solve these problems, one must measure them, but live water data remains sparse and expensive. We aim to make water quality visible anytime, anywhere, and create the Water Data Platform for the Planet. Join our diverse, skilled, and passionate team who is eager to eradicate water pollution!

Your Role
Depending on your contract type (Mini-Job ~10 hrs/week or Working Student ~20 hrs/week), your tasks may include:
- Developing and maintaining Python scripts for data processing and automation
- Working with SQL, Pandas, and NumPy for data transformation
- Assisting in building or improving dashboards in Grafana
- Working with time-series and sensor data
- Supporting integration with graph databases (beneficial but not required)
- Collaborating with engineers on data pipeline improvements

Requirements

Must-Have
- Solid skills in Python
- Good knowledge of SQL
- Experience with Pandas & NumPy
- Understanding of basic data engineering workflows
- Ability to work independently and reliably
- Good English communication skills (German is plus)

Nice-to-Have
- Experience with Grafana dashboards
- Knowledge of graph databases (Neo4j, ArangoDB, etc.)
- Background in IoT, sensor data, or time-series analysis
- Basic Git knowledge


Job Type: Mini-Job 10h/week or Working Student 20h/week

Work Location: In person

Interested? We are not looking for a 100% fit and won’t exclude you if you don’t match everything. Be a part of our team striving to make a difference!

Apply now at jobs@watergenics.tech

Watergenics GmbH
Urbanstraße 64 10967 Berlin