Senior Data Engineer
- Location
- Remote
- Employment
- Full-time
- Level
- Specialist
- Category
- Data & Analytics
- Posted
- Deadline
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.
Apply at the source
This role was published by Piligrim and listed via Djinni. Applications are handled there, not on this site.
Original posting: https://djinni.co/jobs/850539-senior-data-engineer/