Data Engineer - AI Pipelines & DataOps

We Want You to Grow With UsHigh-quality, reliable data is the foundation on which every AI use case is built, and this role is responsible for making that foundation unshakeable. As our Data Engineer for AI Pipelines & DataOps, you will design and deliver the ingestion pipelines, streaming architectures, and APIs that feed Intersnack's AI and analytics systems with the data they need to perform at scale. You will report into the AI Programme and work in close collaboration with AI engineers, data architects, and business teams, with a particular focus on manufacturing environments, where edge device data presents unique ingestion challenges. At Intersnack, we build on a solid digital foundation, and your engineering work will be central to extending that foundation into the AI era. What We Can OfferThis role offers the opportunity to work across a genuinely diverse data landscape, from manufacturing edge devices and IoT sensors to structured enterprise data systems across procurement and sales, giving you breadth of technical challenge that few data engineering roles can match. You will have direct influence over how AI and analytics use cases are enabled across a 4.5bn euro business, with the autonomy to define pipeline patterns, API standards, and DataOps practices that others will build on. Collaboration is at the heart of how we work, and you will be embedded in a programme team that spans data science, AI architecture, and business enablement. Dusseldorf is the home base, with flexibility for remote working. How You Will Spend Your Time as Our Next Data Engineer - AI Pipelines & DataOpsYou will design and build the data infrastructure that powers Intersnack's AI programme, from scalable ingestion pipelines that handle both structured enterprise data and unstructured signals from manufacturing environments, to the APIs that expose data, models, and AI services for consumption across the organisation. Your work will span architecture, implementation, and operat