Senior Enterprise Automation Engineer - Logistics Development (all genders)

Role The Logistics Development team drives speed, efficiency and continuous innovation across Zalando's fulfillment network, transitioning from manual task execution to intelligent, end‑to‑end AI orchestration. As a Senior Enterprise Automation Engineer you act as the technical bridge between advanced Applied Science research and operational reality, designing, building and deploying intelligent workflow automations using enterprise tools (UiPath, n8n) and integrating Agentic AI (LLMs) into daily processes of transport, customs and packaging experts. Responsibilities - Build intelligent workflows: design, deploy and scale robust automations with enterprise orchestration platforms (e.g., UiPath Suite, n8n) to eliminate high‑volume manual data entry. - Integrate Cognitive AI: apply prompt engineering to embed Large Language Models into business processes for handling unstructured data. - Establish the standard: define and enforce baseline development guidelines ensuring decentralized bots are auditable, secure and deployable across the European network. - Bridge the data gap: design and manage API connections linking legacy systems (e.g., SAP) with modern AI orchestration tools. - Drive supervised autonomy: develop Human‑in‑the‑Loop (HITL) workflows that safely manage operational edge‑cases and build stakeholder trust. - Execute with agility: collaborate closely with central tech teams and operational subject‑matter experts to discover, build and push solutions to production within fast‑paced sprints. Qualifications - Deep hands‑on expertise in developing and architecting workflow automations using enterprise platforms such as UiPath Suite and n8n. - Practical experience in prompt engineering and safe integration of Large Language Models (LLMs) into live business operations. - Solid foundation in basic programming (e.g., Python, JavaScript) for custom logic within automation frameworks. - Experience with Intelligent Document Processing (OCR, AI) to extract structured data from unstructured logistics documents. - Proficiency in Process Mining (e.g., Celonis) or Task Mining to identify and prioritise automation opportunities. - Ability to build self‑healing workflows and robust error‑handling frameworks. - Strong capability in designing, managing and troubleshooting APIs to create data bridges across diverse internal systems. - Excellent communication and stakeholder‑management skills, translating complex operational friction into actionable technical requirements. - Passion for process optimisation and thriving in an agile, iterative delivery environment. What We Offer - 27 days holiday per year (increasing up to 30 days with tenure). - 2 paid volunteering days per year. - Hybrid working model with up to 60 % remote work. - Option to work from abroad for up to 30 days per year. - Employee share programme. - 40 % discount on Zalando fashion and beauty products, 30 % discount on Lounge by Zalando, plus external partner discounts. - Relocation assistance (subject to prior agreement). - Family services, counselling and support. - Health and wellbeing options (Wellhub, formerly Gympass). - Mental health support and coaching. - Development opportunities via training platform and bi‑annual peer‑to‑peer review.