Data Engineer

Project Highlights:

• Duration: Long-term stability (3+ years).
• Work Setup: 100% Remote.
• Engagement Model: Project-based employment / contractual setup (specific employment model and local arrangements to be discussed).

Key Requirements:

• Core Tech: Strong hands-on expertise with Python and PySpark.
• Cloud & Data Stack: Proven experience with Azure Databricks and Azure Data Lake (ADLS).
• Data Engineering: Deep background in designing ETL/ELT processes, building Data Lakehouse architectures, and optimizing data pipelines.
• Languages: Fluent English (Upper-Intermediate or higher).

Nice to Have:

• Experience with Azure Data Factory and Unity Catalog.
• Working knowledge of German (B1+).

What We Offer:

• Work on complex, high-impact engineering challenges in Big Data.
• Long-term stability without the hassle of jumping between short gig assignments.
• Fully remote flexibility.