Senior Data Engineer

Job description

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.