Data Engineer creating data pipelines at Data Wow, working closely with Data Scientists and Analysts to deliver data products.
About the role
- Data Engineer responsible for building ETL workflows and understanding business data for AI. Collaborating with cross-functional teams to implement data-driven use cases.
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.
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)
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
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
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