SENIOR DATA ENGINEER | Brunswick, NDS, Germany | Hybrid
We're working with New Yorker on this exciting opportunity. Join a highly ambitious and international Data Science department to design, implement, and optimize data processing architectures and pipelines, leveraging state-of-the-art machine learning techniques.
The Role
• Design, implement, and optimize effective data processing architectures in Python.
• Extract, transform, analyze, clean, and model data from various sources.
• Implement and operate maintainable and reliable data pipelines using PySpark and Airflow.
• Operationalize machine learning pipelines in collaboration with data scientists.
• Architect and develop continuous integration & deployment processes.
• Mentor junior team members through code reviews and pair programming.
What You'll Need
• Master's degree in Computer Science or equivalent.
• 3+ years of experience as a data engineer or similar role.
• Extensive experience with Spark, Hadoop, SQL, relational databases, data models, and ETL pipelines.
• Ability to write efficient, scalable, and maintainable Python code.
• Good Linux knowledge and fluent English.
What's On Offer
• Flexible working hours and attractive remuneration with comprehensive social benefits.
• Opportunities for professional growth in a stable and fast-growing international company.
• Staff discounts, company fitness cooperation, and exclusive dining discounts.
Apply via Haystack today