Data Engineer II, Operations - Quick Commerce

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. We are looking for a skilled Data Engineer II to join our team and help us take our operations to the next level. 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 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. Join us in building and maintaining this mission-critical service!   Key Responsibilities Develop features that bring value to our users Pipeline Maintenance to ensure our product runs smoothly Play an active role in evolving our overall architecture, establishing 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. Develop and maintain CI/CD pipelines for ML models. 4+ years of experience in data engineering or software engineering Solid programming skills in Python Solid knowledge of Docker, Kubernetes, Postgres and cloud platforms (AWS or GCP). Familiarity with orchestration tools (e.g., Airflow, Kubeflow, MLflow). Solid knowledge of creating cloud-based and scalable system architectures.   Nice to have Experience with monitoring and observability tools (e.g., Grafana, Datadog, Splunk, or similar) Understanding of CI/CD practices and infrastructure as code (e.g., Terraform, Drone CI and GitHub Actions). — Published by Delivery Hero. Apply on the employer's own posting.