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Delivery Hero
Senior Data Engineer, Python (Logistics, Data & ML)Delivery Hero • Berlin, Berlin, Germany
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Senior Data Engineer, Python (Logistics, Data & ML)

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

Delivery Hero • Berlin, Berlin, Germany
Vor 30+ Tagen
Stellenbeschreibung

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 youll 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.

  • Drive a mission-critical initiative to ensure high standards for data quality observability and reliability creating a stable foundation for the teams 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.


Qualifications :

  • 6 years of experience in data engineering or backend/data platform roles with a proven track record in core infrastructure engineering.

  • trong 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.


Additional Information :

Ensuring you and all our Heroes are looked after happy and healthy is always on the menu. Because if youre in good shape then were in good shape.

Ready to join our team If youre excited to grow collaborate and be part of the worlds leading delivery platform wed love to hear from you. Apply today!

We believe diversity and inclusion are key to creating not only an exciting product but also an amazing customer and employee experience. Fostering this starts with hiring - therefore we do not discriminate on the basis of racial identities religious beliefs color national origin gender identities or expressions sexual orientations age marital or disability statuses or any other aspect that makes you you.

We encourage you to let us know if you need any accommodations or specific accessibility support to ensure a smooth interview experiencejust let us know with an email to our Inclusion Officer at

Severely disabled applicants with equal qualifications will be given preferential consideration.

Youre welcome to share your pronouns (he/she/they) right from the start so we can address you respectfully from our first contact.


Remote Work :

No


Employment Type :

Full-time


Experience: years
Vacancy: 1

Jobalert für diese Suche erstellen

Senior Data Engineer, Python (Logistics, Data & ML) • Berlin, Berlin, Germany

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