Manager, Data Engineering - (Logistics, ML Platform) at Delivery Hero

Berlin, , Germany -

Full Time

Start Date

Immediate

Expiry Date

29 Apr, 26

Salary

0.0

Posted On

30 Jan, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Engineering, Machine Learning, MLOps, Cloud Proficiency, Kubernetes, Leadership, Stakeholder Management, Technical Direction, Project Management, Cross-Functional Teams, A/B Testing, Data Science, Programming Languages, Distributed Systems, Operational Excellence, Technical Support

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 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 looking for a Data Engineering Manager to join our Logistics vertical on our journey to always deliver amazing experiences. 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. You would lead our Data Engineering and Machine learning squad who own our Logistics Machine Learning Platform . This platform enables us to rapidly and reliably develop, deploy, and manage machine learning models that support essential business areas such as delivery time estimations and routing. If you are a creative problem solver who is hungry for a new adventure and working with large-scale distributed systems, an international workplace is waiting for you in the heart of Berlin! Lead a team of data and machine learning engineers to design, build, and maintain robust MLOps architecture, ensuring the ML lifecycle operates efficiently at scale. Support an established team of data and machine learning engineers in their day-to-day development experience, personal development, and long-term career growth. Own the execution and development of functionalities in small iterations that deliver value. Stakeholder management across Logistics Drive project and tech strategy across the Domain. Raise the Bar in operational excellence and product delivery. Partner with your product counterpart and provide technical direction to your team, facilitating the design of feasible and iterative solutions aligned with the business needs. Own the tech metrics and KPIs of your team, ensuring full visibility, tracking, and alerting. Provide technical support for the design of solutions that are reliable, performing, cost-effective, and scalable to meet the business needs. Qualifications You are a knowledgeable technical guide who aligns with and supports product and business goals. You are programing language agnostic with a clear understanding of core concepts, and paradigms, and can abstract this knowledge to multiple scenarios. We are open to all technical backgrounds, as long as there is a willingness to learn about Data/ML on the job Cloud Proficiency: Prior experience working with public cloud platforms (GCP/AWS or equivalent) and knowledge of Kubernetes Leadership Acumen: Proven experience leading and mentoring a team of engineers and engineering managers as a direct manager. You believe in cross-functional teams and have experience managing projects and dependencies across multiple teams and stakeholders. You empower others, and care about your team and your own personal and professional development. Nice to have: You are familiar with A/B testing You can be hands-on on demand to support and guide more junior developers. You have worked with Data-science projects. ML Engineering Expertise: Extensive experience in data, ML engineering or MLOps. Working knowledge of the ML lifecycle and its ecosystem of 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] it in your application. 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

Lead a team of data and machine learning engineers to design, build, and maintain robust MLOps architecture. Drive project and tech strategy across the Logistics domain to enhance delivery operations.