Darum lohnt es sich
You will partner closely with software engineers, analytics, product, and operations teams to deliver reliable data systems, production-ready AI workflows, and high-quality datasets that enable intelligent decision‑making and automation.
The Role As a Senior AI / Data Engineer, you will design, build, and maintain scalable data and AI infrastructure that powers critical business and product capabilities across the organization.
You bring strong software engineering fundamentals together with practical expertise in data systems, cloud infrastructure, and AI‑enabled development workflows. You care deeply about reliability, maintainability, operational excellence, security and building systems that scale with the business.
Responsibilities Data & AI Platform Engineering Design, build, and maintain scalable data pipelines, integrations, and AI workflows Develop reliable and maintainable ETL/ELT systems that support analytics, operational reporting, and AI‑driven products Contribute to the architecture and evolution of the company’s data platform and AI infrastructure Build systems and services with a focus on simplicity, iterative development, reliability, and long‑term maintainability Continuously optimize data architecture to support evolving business and product requirements Partner with stakeholders to translate business problems into scalable data and AI solutions Infrastructure, Automation & Reliability Develop infrastructure automation and deployment workflows to improve e
