Data Engineer

Position: Operations Research/Data Scientist

Department: Technology

Location: Berlin

About The Company

Lieferando is part of Just Eat Takeaway.com, a leading global online delivery platform with a vision to empower everyday convenience. Our technology connects customers with restaurant, grocery, and convenience partners, helping people find what they need for everyday meals and special occasions. Working across an international network, our teams build and improve digital services that make ordering and delivery more convenient.

We value collaboration, curiosity, and a customer-first mindset, and we aim to create an inclusive workplace where people can contribute, learn, and grow.

About The Role

As an Operations Research/Data Scientist on the Assignments team, you will help develop, maintain, and scale the algorithms and models that support our global delivery network. You will work at the intersection of mathematical optimization, machine learning, and software engineering, helping turn operational requirements into reliable solutions. In close partnership with senior scientists and software engineers, you will build mathematical formulations, create predictive models that inform dynamic parameters, and contribute production-ready Python services.

You will own discrete algorithmic components, evaluate them through historical simulations, and help monitor live performance. Your work will support an assignment engine designed to operate efficiently, reliably, and cost-effectively under real-world constraints.

Qualifications

You bring practical knowledge of combinatorial optimization, including Mixed-Integer Programming, Vehicle Routing Problems, and heuristic search. You have applied statistical methods and machine learning, such as supervised or unsupervised learning, to generate model inputs, estimate operational states, or improve optimization parameters.

Strong

Python skills are essential, including object-oriented programming, design patterns, type hints, and the ability to write clean, modular, testable code.

Experience with modeling tools or solver APIs such as Pyomo, PuLP, or OR-Tools, and solvers such as Gurobi, SCIP, or HiGHS, is valuable.

You have experience deploying models or algorithmic services and understand practical considerations such as runtime, latency, and monitoring solution quality. You can use SQL to retrieve, clean, and validate data for training, benchmarking, and offline simulation. You are familiar with Git, automated testing, Docker, and code reviews; Java knowledge is an advantage.

Experience in logistics or last-mile delivery is beneficial. You approach problems analytically, test hypotheses rigorously, communicate clearly across disciplines, and are keen to learn from experienced colleagues. A pragmatic, collaborative approach and focus on delivering useful solutions will help you succeed.

Responsibilities

Develop and maintain optimization models and algorithmic components for delivery assignments. Translate operational rules and constraints—including delivery windows, driver availability, and travel times—into robust mathematical formulations. Build predictive models that provide useful estimates and inputs for optimization.

Implement and improve production-oriented Python services in collaboration with software engineers and scientists. Run historical simulations using trace data, define and track relevant metrics, and use evidence to evaluate proposed changes. Contribute to monitoring live system performance, investigating issues, and identifying opportunities to improve speed, reliability, and cost-effectiveness.

Follow sound engineering practices, including writing tests, reviewing code, and documenting decisions. Explain model logic, edge cases, and trade-offs to technical and non-technical partners.

Benefits

Join a supportive, fast-paced, and international environment where your work contributes to services used by customers and partners across the globe. You will collaborate with experienced professionals across science, engineering, and product teams, with opportunities to broaden your knowledge of production operations research, data science, and system architecture. Our culture encourages learning, shared success, and growth, while giving teams the opportunity to make meaningful improvements to a large-scale delivery network.

Equal Opportunity

Lieferando and Just Eat Takeaway.com are committed to creating an inclusive culture that values diversity in people and perspectives. We want everyone to feel they belong and can bring their authentic selves to work. We welcome applicants regardless of background, identity, appearance, origin, or whom they love, and strive to provide a respectful environment where people can contribute and succeed.