Manager, Data Engineering (Logistics, ML Platform)

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 youll 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 multiple brands of Delivery hero.

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.

ML Engineering Expertise : Extensive experience in data  ML engineering or MLOps. Working knowledge of the ML lifecycle and its ecosystem of tools.

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.

Additional Information :

Ensuring you and all our Heroes are looked after happy and healthy is always on the menu. Because if youre in good shape then were 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 well 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 weve 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 youre excited to grow collaborate and be part of the worlds leading delivery platform wed 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 experiencejust let us know with an email to our Inclusion Officer at it in your application.

Severely disabled applicants with equal qualifications will be given preferential consideration.

Youre welcome to share your pronouns (he / she / they) right from the start so we can address you respectfully from our first contact.

Remote Work : No

Employment Type : Full-time

Key Skills

Shipping & Receiving,Inventory Control,Data Entry,AS400,Transportation Management Systems,EDI,Microsoft Outlook,Warehouse Experience,Office Experience,Dispatching,Microsoft Excel,Logistics

Experience : years

Vacancy : 1