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.
