Engineer II - Python(Quick Commerce)
Berlin, Germany
Delivery Hero
Delivery Hero - Always delivering an amazing experience.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 over 70+ 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 on the lookout for an Engineer II - Python(Software Developer) to join our Quick Commerce vertical on our journey to always deliver amazing experiences.
The team's mission is to improve vendors' experience and bring value to the critical path of supply chain process through data science and data engineering. You will be working with an international, flexible, and experienced team, shaping the experience for millions of customers who order daily through our platform.
You’ll help design, build, and maintain the features and workflows that enable scalable and reliable rollouts. You'll drive engineering excellence and collaborate closely with our fellow colleagues.
Develop features that bring value to our users.
Play an active role in evolving our overall architecture. Establishing and growing best engineering practices within the team (e.g. TDD, CI/CD, etc.) to improve the speed of delivery, and the quality of the features and services you own.
Collaborate with data scientists and data engineers to optimize model lifecycle, monitoring, and alerting. Build and manage model serving infrastructure (batch and real-time). Develop and maintain CI/CD pipelines for ML models.
Ensure compliance with security and privacy.
Qualifications
Solid programming skills in Python.
3–5 years of experience in software engineering or MLOps.
Knowledge of Docker, Kubernetes, and cloud platforms (AWS/GCP/Azure).
Understanding of CI/CD practices and infrastructure as code (e.g., Terraform).
Familiarity with ML frameworks (e.g., TensorFlow, PyTorch, scikit-learn).
Familiarity with orchestration tools (e.g., Airflow, Kubeflow, MLflows).
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.
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 include it in your application. You're welcome to share your pronouns (he/she/they) right from the start so we can address you respectfully from our first contact.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Airflow Architecture AWS Azure CI/CD Docker Engineering GCP Kubeflow Kubernetes Machine Learning ML models MLOps Pipelines Privacy Python PyTorch Scikit-learn Security TDD TensorFlow Terraform
Perks/benefits: Career development Equity / stock options Flex hours Insurance
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