Join our dynamic Analytics & Forecasting Solutions team, a key part of the Logistics Network Planning department, where you’ll be at the forefront of shaping the future of Zalando’s logistics operations. In this senior role, you will take technical ownership of complex network systems, driving the architectural vision to optimize the smooth and efficient flow of millions of packages across Europe. Our team is committed to enhancing logistics forecasts that directly influence the efficiency and performance of all our warehouses and transport teams. By architecting, developing, and scaling forecasting and planning software, you will play a pivotal role in ensuring our logistics operations are not only efficient but highly adaptable to changing demands. Your work will have a massive, tangible impact on how we manage capacity, allocate resources, and maintain the seamless delivery experience our customers expect.
WHAT WE’D LOVE YOU TO DO (AND LOVE DOING)
Drive the technical design and implementation of sophisticated forecasting and planning software to optimize complex capacity allocation.
Champion technical excellence by writing scalable, clean, and highly maintainable Python code, while establishing best practices for Logistics Network planning projects.
Take full responsibility for the development lifecycle of large-scale systems—from architectural solution design and rigorous testing to seamless implementation and monitoring.
Partner closely with subject matter experts to translate complex operational challenges into robust technical solutions.
Act as a technical multiplier by mentoring junior engineers, communicating complex technical concepts to cross-functional stakeholders, and driving project milestones.
WE’D LOVE TO MEET YOU IF
You have 5+ years of professional experience as a Software Engineer, with a proven track record of delivering complex, large-scale systems.
You possess strong capabilities to design, architect, and ensure the delivery of robust, highly scalable, and high-performance distributed systems.
You have hands-on experience leveraging AI coding assistants (e.g., GitHub Copilot, Claude Code) to accelerate development workflows, combined with the critical thinking skills to rigorously review, debug, and refine AI-generated code to meet enterprise standards.
You bring deep experience deploying or interacting with machine learning models focused on forecasting, optimization, or advanced planning.
You have advanced proficiency in Python, SQL, relational data warehouses, ETL design, and data pipeline orchestration.
You have extensive experience with unit, integration, and end-to-end testing, alongside implementing robust CI/CD pipelines.
You can effortlessly translate business requirements into technical roadmaps and author clear, comprehensive technical documentation.
OUR OFFER
Zalando provides a range of benefits, here’s an overview of what you can expect. Ask your Talent Acquisition Partner to learn more about what we offer. 27 days of holiday a year to start for full-time employees (+1 day for every calendar year up to 30 days)
40% off fashion and beauty products sold and shipped by Zalando, 30% off Lounge by Zalando, discounts from external partners
Family support, including counselling and dedicated services for parents and carers
Company pension scheme
Employee shares programme
Health and wellbeing options, including Wellhub
Mental health support and coaching
Development through our training platform and biannual peer-to-peer review
2 paid volunteering days a year
Relocation assistance (subject to prior agreement)
INCLUSIVE BY DESIGN
If you think you have what it takes, we encourage you to apply even if you don't meet every single requirement. You may just be the right candidate for this or other roles! At Zalando, our vision is to be the leading European technology platform for fashion and lifestyle – one that thrives on diversity and is truly inclusive by design. We believe that diverse teams fuel innovation and creativity, and we actively seek out talent from all backgrounds. We actively seek to reduce bias in our hiring and employment processes, focusing on your qualifications, skills, and contributions. To support this, we kindly ask that you refrain from including personal details such as your photo, age, or marital status in your CV, ensuring a fair and equitable evaluation based solely on your abilities and potential.
We are committed to providing an exceptional and accessible candidate experience for everyone. If you require any accommodations to support you throughout the hiring process, please let us know – we are here to assist you.