Data Engineer

Join a multinational company in the industrial sector.

We are seeking a Data Engineer. This position is part of a high-impact data science environment, focused on enabling scientific teams through robust data integration and modeling solutions.

Requirements:

• At least 4-5 years of hands-on experience with Python and PySpark, especially in building and managing ETL pipelines and working with APIs.
• Experience working with Palantir Founder platforms.
• Strong background in data modeling and relational structures.
• Technical university degree (Computer Science, Engineering, Mathematics, etc.).
• C1 level of English (essential for communication in an international team).

Main responsibilities:

• Support scientific teams by structuring, connecting, and sharing complex data efficiently.
• Translate scientific and research needs into technical software solutions.
• Build and maintain large-scale data integration systems.
• Collaborate closely with teams ensuring smooth access and usability of data across departments.

Conditions:

• Permanent contract with the end client.
• 30 vacation days.
• Short workdays on Fridays and during August.
• Flexible schedule.
• Hybrid work model: 2 days per week in the office.
• Competitive salary based on experience + bonus + benefits.