Location: Berlin, Vienna, Cologne, Aachen, Frankfurt, Nuremberg (hybrid possible)

Employment: Full-time or part-time, starting immediately

Contact: anna@scavenger-ai.com

Scavenger AI makes data analysis as easy as chatting. We enable decision-makers in industrial companies to get data-driven recommendations in real time using natural language.

As a Data Engineer / Data Scientist, you’ll be responsible for ensuring that our AI understands business-related data just as well as a human would.

Your responsibilities:

• You build and maintain ETL workflows using tools like Airflow.

• You develop and improve data-cleaning algorithms in Python.

• You integrate structured data sources (e.g. ERP, CRM, product databases) into our platform.

• You collaborate closely with AI and frontend teams to quickly implement new use cases.

What you bring:

• At least 2 years of experience building ETL pipelines, strong Python skills

• Solid understanding of Business Intelligence, gained through work experience or academic projects

• Motivation to take ownership and help shape structures

• Experience in data modeling and ideally with cloud or DevOps tools (e.g. AWS, Docker, CI/CD)

• Excellent English skills (German is a plus)

• Strong communication, openness in teamwork, and constructive feedback mindset

What to expect:

• Work in an ambitious AI tech startup with real-world impact

• A high degree of creative freedom and influence on our data architecture

• Flexibility: part-time models (e.g. 60–80%) possible

• Direct collaboration with an interdisciplinary team on equal footing

We look forward to your application!