Senior Data Engineer, Python - (Logistics, Data & ML)

Requirements

• 6+ years of experience in data engineering or backend/data platform roles, with a proven track record in core infrastructure engineering.
• Strong hands-on experience with streaming systems (especially Apache Kafka and Confluent) and CDC tools like Debezium.
• Extensive experience with GCP (BigQuery) and modern data stacks (e.g., Spark, Flink) to manage complex, distributed systems.
• Proficiency in Python, Java, or Scala with experience supporting data scientists and operationalizing ML pipelines and MLOps workflows.
• A strong understanding of real-time data processing and a commitment to high standards for data quality, observability, and reliability.
• A positive, high-energy attitude with a desire to work in a close-knit, collaborative team (willingness to learn fast and take ownership of pending OKRs).

Nice to Have

• Experience in logistics, mobility, or marketplace platforms.
• Exposure to feature stores, online inference systems, or real-time ML.
• Experience with data observability tools.

What you'll be doing

• Design and build real-time data pipelines using Apache Kafka to enable event-driven architectures and real-time analytics across global logistics platforms.
• Develop CDC-based ingestion pipelines with Debezium, focusing on core infrastructure engineering and high-scale integration with GCP and BigQuery.
• Drive a mission-critical initiative to ensure high standards for data quality, observability, and reliability, creating a stable foundation for the team’s AI-powered workflows.
• Partner with data scientists and ML engineers to operationalize workflows, building the scalable data models required for logistics optimization and experimentation.
• Support the logistics domain with reliable, well-documented datasets while bringing a positive, collaborative energy to a close-knit, high-impact platform team.
• Maintain world-class infrastructure by participating in a flexible on-call rotation, ensuring the stability of the moving pieces within our logistics and pricing systems.

Perks and Benefits

• Make the most of our hybrid working model and join the team for face-to-face connection and collaboration in our beautiful Berlin campus 2 days a week.
• We offer 27 days holiday with an extra day on 2nd and 3rd year of service.
• We will support you in developing yourself and your career growth opportunities: 1.000 € Educational Budget, Language Courses, Parental Support and access to the Udemy Business platform to explore a variety of online courses.
• Get moving and release those wonderful, mind-boosting endorphins: Health Checkups, Meditation, Gym & Bicycle Subsidy.
• Cash. Dough. Cheddar. Whatever you call it, we’ll help you with it: Employee Share Purchase Plan, Sabbatical Bank, Public Transportation Ticket Discount, Life & Accident Insurance, Corporate Pension Plan.
• The power of getting together over some food is unrivaled. Here are a few ways to help you do that. All the yum: Digital Meal Vouchers, Food Vouchers, Corporate Discounts. Courses.