Remote Staff Data Platform Engineer at Qonto

- Skills: Kubernetes, Machine Learning, Web security, Python, Java, Snowflake - Experiences: Staff - Employments: Full-time, Contract - Benefits: Flexible working hours, Unlimited vacation - Locations: Europe (Remote), Austria (Remote), Belgium (Remote), France (Remote), Germany (Remote), Italy (Remote), Netherlands (Remote), Portugal (Remote), Serbia (Remote), Spain (Remote) Description: - Architect and implement scalable data platform tools to support AI product development. - Act as a technical bridge between AI Product teams and Platform Engineering, enhancing customer experience for over 400,000 clients. Requirements: - Proven Data Engineering background with experience in designing and scaling data platforms. - Strong understanding of the full ML lifecycle and experience with modern ML platforms (e.g., MLflow, Kubeflow, SageMaker). - Ability to translate business needs into technical solutions and influence technical direction. - Experience in regulated environments (financial services preferred) is a plus. Benefits: - Work in a rapidly growing environment with high autonomy and influence. - Access to advanced AI tools and a collaborative team culture.