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Vývojári a analytici softvéru a aplikácií inde neuvedení @ Cargo-Partner HQSC s.r.o.

SK010, SKOnsiteFull-time
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About this role

As an end to end info logistics provider, we pride ourselves on offering a comprehensive portfolio of air, sea, land transport, and warehousing services. With a unique focus on information technology and supply chain optimization, we empower businesses to thrive in today's fast-paced world. For over 40 years, cargo-partner has flourished in the logistics industry, delivering unparalleled service to our clients worldwide. We have now embarked on another journey and to continue our commitment for excellence, we have now joined the Nippon Express Group which will now underpin all the values we constantly aspire to achieve, now becoming a top 5 global player. Join us as a Junior EDI & AI Support Engineer and help shape how our systems connect, communicate, and get smarter. You’ll support real integration projects, help onboard customers into our IT landscape, and explore how AI can streamline the way data flows across the company. Working alongside experienced engineers, you’ll learn how to turn requirements into working solutions and get hands-on with modern integration and AI‑driven tools. This position is ideal if you’re a final‑year student or a recent graduate ready to start full‑time work. A background in EDI, system integration, or AI‑related technologies is beneficial but not required. What you’ll do: Support integration development - Assist in building and maintaining EDI/API integrations under guidance from senior engineers. Participate in customer onboarding - Help prepare and execute smooth onboarding of clients into our IT systems. Analyze integration requirements - Contribute to gathering and understanding technical and business needs for integration tasks. Work with middleware tools - Learn to configure and monitor integration platforms and mapping tools. Support workflow optimization - Assist in improving data flows and ensuring reliable, efficient exchange of information. Explore AI-enhanced processes - Collaborate with the AI team to test and integrate basic ML-driven features into workflows. Troubleshoot integration issues - Help investigate and resolve operational issues in data exchange and integrations.

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