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Fullstack Data Engineer

Pubblicato il 17-10-2026 - Nozomi Networks in Lombardia

Now is an amazing time to join Nozomi Networks as we build the future of OT and IoT cybersecurity. We defend some of the world’s largest organizations and critical infrastructure in more than 68 countries and we’re just getting started. Our AI-powered cybersecurity platform secures operational technology (OT) and Internet of Things (IoT) infrastructures for enterprises and government entities across energy, manufacturing, transportation, resources, and critical infrastructure. As we expand our product portfolio and global presence, our Engineering department is seeking a Full-stack Data Engineer with a focus on AI and NLP. You’ll design, implement, and maintain highly available data pipelines that support our core products. In this role you will: * Use available technologies to develop medium to large features while proactively learning new ones and reducing technical debt. * Support colleagues to achieve overall team success and foster a collaborative environment. * Embody Nozomi Networks' Cultural Pillars and our mission to protect what matters most with transparency and trust.



* Collaborate within an agile team that emphasizes automation and the creation of high-quality, well-designed software. * Take ownership of user-facing features from inception to release and beyond. To be successful in this opportunity you will have: * Strong attention to detail and excellent analytical skill. * Excellent problem-solving capabilities with a solid understanding of algorithms, data structures, and concurrent programming. * Proficiency in a dynamic programming language such as Python or Ruby. * Knowledge of Machine Learning and NLP is a plus. * B.S. or M.S. in Computer Science, Mathematics, Statistics or equivalent experience. Who we are and what we stand for: Nozomi Networks is the leader in OT and IoT Cybersecurity. We protect the world's critical infrastructure, industrial and government organizations from cyber threats by providing exceptional network visibility, threat de

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