Data Engineer II, Operations - Quick Commerce at Delivery Hero

Berlin, , Germany -

Full Time

Start Date

Immediate

Expiry Date

13 Sep, 26

Salary

0.0

Posted On

15 Jun, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, Docker, Kubernetes, Postgres, AWS, GCP, Airflow, Kubeflow, MLflow, System Architecture, CI/CD, TDD, Grafana, Datadog, Splunk, Terraform

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 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. Qualifications 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). Additional Information Who We Are: As the world’s leading 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 but driven by people. As one of Europe’s largest tech platforms, we enable ambitious talent 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 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. Just be yourself and we can’t wait to see what value you bring to the role. We're as interested in your character as we are in your talent. What's in it for you 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. Get moving and release those wonderful, mind-boosting endorphins: Health Checkups, Meditation, Yoga, 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 Look up and go for it. We will support you in developing yourself and your career: 1.000 € Educational Budget, Language Courses, Parental Support 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, Online Canteen, Corporate Discounts 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

Develop features and maintain pipelines to improve vendor experience and supply chain processes. Collaborate with data scientists to optimize model lifecycles and establish engineering best practices like TDD and CI/CD.