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

Company: Delivery Hero

Location: Berlin

Type: Full-time

Posted: 2026-05-13

About this role

Company Description

As the world’s pioneering local delivery platform, our mission is to deliver an amazing experience, fast, easy, and to your door. We operate in around 65 countries worldwide powered by tech, designed by people. As one of Europe’s largest tech platforms, headquartered in Berlin, Germany. Delivery Hero has been listed on the Frankfurt Stock Exchange since 2017 and is part of the MDAX stock market index. We enable creative minds to deliver solutions that create impact within our ecosystem. We move fast, take action and adapt. No matter where you're from or what you believe in, we build, we deliver, we lead. We are Delivery Hero.

Job Description

We are looking for a Senior Data Engineer to join the Logistics Data & Machine Learning Platform team on our journey to always deliver amazing experiences.

At Delivery Hero, we are building the next generation of logistics intelligence powered by real-time data and AI. Our Logistics Data Engineering team sits at the core of this transformation - enabling high-scale data pipelines, powering advanced analytics, and accelerating AI-driven products across the organization.

In our Logistics Team, you’ll tackle high-impact challenges that make last-mile delivery efficient, affordable, and sustainable. Your work will directly improve experiences for riders, end customers, and merchants across the globe. Each enhancement you contribute will help Delivery Hero optimize delivery operations, supporting expansion into new areas like grocery and retail.

We are looking for someone to design, build, and scale robust data systems that fuel real-time decision-making and innovation across logistics.

  • 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.
  • Dri...

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