Senior Data Engineer, Python - (Logistics, Data & ML) at Delivery Hero

Berlin, , Germany -

Full Time

Start Date

Immediate

Expiry Date

11 Aug, 26

Salary

0.0

Posted On

13 May, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, Apache Kafka, Debezium, GCP, BigQuery, Spark, Flink, Java, Scala, CDC, MLOps, Data Pipeline Design, Real-time Data Processing, Data Observability, Distributed Systems, Infrastructure Engineering

Industry

technology;Information and Internet

Description

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. 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. 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 you’re in good shape, then we’re in good shape. 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. Wondering what relocating to Berlin is like? In this article, we’ve put together 10 things you should know about moving to Berlin and how Delivery Hero can support you. You can also visit our relocation hub and check out more information about moving to Berlin. Ready to prepare for your interview? Check out the list of the 5 most common interview questions and answers created in collaboration with our recruiters. Ready to join our team? If you’re excited to grow, collaborate and be part of the world’s leading delivery platform, we’d 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 experience—just let us know with an email to our Inclusion Officer at [email protected]. Severely disabled applicants with equal qualifications will be given preferential consideration. You're welcome to share your pronouns (he/she/they) right from the start so we can address you respectfully from our first contact.

Responsibilities

Design and build real-time data pipelines using Apache Kafka and Debezium to support global logistics platforms. Partner with data scientists to operationalize ML workflows and ensure high standards for data quality and reliability.