The Logistics Development team is responsible for driving speed, efficiency, and continuous innovation across Zalando's expansive fulfillment network. Fulfilling this mandate requires a structural transition from highly manual task execution toward intelligent, end-to-end AI orchestration. To achieve this, we operate within a fast-paced, autonomous Agile POD model, cultivating a decentralized "Citizen Developer" approach that scales automation capabilities across our entire European logistics footprint.
As a Senior Enterprise Automation Engineer, you will serve as the crucial technical bridge between advanced Applied Science research and our operational reality on the ground. You will design, build, and deploy intelligent workflow automations—utilizing enterprise tools like UiPath and n8n—and seamlessly integrate Agentic AI (LLMs) into the daily business processes of our transport, customs, and packaging experts. By developing robust "Human-in-the-Loop" architectures, you will be the key driver in transforming manual, rule-based tasks into supervised independent systems. You will directly empower our logistics teams to shift their focus away from routine data entry, allowing them to concentrate on strategic execution and exception handling for Europe’s leading fashion platform.
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 pan-European ecosystem for fashion and lifestyle e-commerce – 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.
Discover more about our commitment to creating a diverse and inclusive workplace: https://jobs.zalando.com/en/our-culture/diversity-and-inclusion
Build intelligent workflows: Design, deploy, and scale robust automations using enterprise orchestration platforms (e.g., UiPath Suite, n8n) to eliminate high-volume manual data entry.
Integrate Cognitive AI: Leverage advanced prompt engineering to successfully embed Large Language Models (LLMs) into daily business processes to handle unstructured data.
Establish the standard: Define and enforce baseline development guidelines, ensuring our decentralized bots are auditable, secure, and deployable across the European network.
Bridge the data gap: Design and manage API connections that seamlessly link legacy enterprise systems (like SAP) with modern AI orchestration tools.
Drive supervised autonomy: Develop "Human-in-the-Loop" (HITL) workflows that safely manage operational edge-cases, ensuring business stakeholders trust and adopt the automated systems.
Execute with agility: Collaborate closely with central Tech teams and operational Subject Matter Experts to rapidly discover, build, and push solutions to production within fast-paced sprints.
You bring deep, hands-on expertise in developing and architecting workflow automations using enterprise platforms like UiPath Suite and n8n.
You have practical, demonstrated experience in prompt engineering and safely integrating Large Language Models (LLMs) into live business operations.
You have a solid foundation in basic programming (e.g., Python, JavaScript) enabling you to write custom logic within automation frameworks.
Intelligent Document Processing (IDP): Hands-on experience with OCR and AI tools to extract structured data from unstructured logistics documents (e.g., invoices, customs forms).
Process Discovery: Proficiency in Process Mining (e.g., Celonis) or Task Mining to scientifically identify and prioritize automation opportunities.
Resilience & Error Handling: Proven ability to build "self-healing" workflows and exception-handling frameworks.
You possess a strong capability in designing, managing, and troubleshooting APIs to create data bridges across diverse internal systems.
You are a master communicator and stakeholder manager, easily translating complex operational friction from business experts into actionable technical requirements.
You are passionate about process optimization and thrive in an agile environment focused on iterative and rapid delivery.
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)
2 paid volunteering days a year
Hybrid working model with up to 60% remote per week, actual practice is up to each team to best support their collaboration
Work from abroad for up to 30 working days a year
Employee shares program
40% off fashion and beauty products sold and shipped by Zalando, 30% off Lounge by Zalando, discounts from external partners
Relocation assistance available (subject to prior agreement)
Family services, including counseling and support
Health and wellbeing options (including Wellhub, formerly Gympass)
Mental health support and coaching available
Drive your development through our training platform and biannual peer-to-peer review
Job details are sourced from the employer's original posting.
Open job postingAbout the company
Operates Zalando Lounge's fulfillment and logistics operations in Bydgoszcz, Poland, supporting the online fashion retailer's order processing.