Data Engineer

Scavenger AI; Berlin; Hybrid; Vertraulich; Vollzeit

Zusammenfassung

A dynamic AI startup in Berlin seeks a Data Engineer / Data Scientist to ensure AI understands business data effectively. Responsibilities include building ETL workflows with Airflow, developing data-cleaning algorithms in Python, and integrating data sources. The ideal candidate has at least 2 years of experience and strong Python skills. The role offers flexible working models and collaboration with a dedicated team.

Leistungen

Creative freedom in data architecture

Direct collaboration with an interdisciplinary team

Flexible part-time models available

Qualifikationen

• At least 2 years of experience building ETL pipelines.
• Solid understanding of Business Intelligence.
• Experience with cloud or DevOps tools is a plus.

Aufgaben

• Build and maintain ETL workflows using Airflow.
• Develop and improve data-cleaning algorithms in Python.
• Integrate structured data sources into the platform.

Kenntnisse

ETL pipeline building

Python

Business Intelligence

Data modeling

Cloud tools (AWS, Docker)

Communication

Tools

Airflow

CI/CD

Jobbeschreibung

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

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

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.

Tasks

• 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.

Requirements

• 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

Benefits

• Work in an ambitious AI tech startup with real-world impact
• A high degree of creative freedom and influence on our data architecture
• Flexibility due to part-time models (e.g. 60–80%) possible
• Direct collaboration with an interdisciplinary team on equal footing
• Hybrid work from different locations such as Merantix AI Campus in Berlin

We look forward to your application!