Senior Data Platform Engineer

Role Overview

• As a Senior Data Platform Engineer at Cafeyn, you will play a key role in designing, building, and operating a robust data platform that powers core product features such as content recommendations, search, and dynamic page skeletons.
• Design, develop, and maintain Python-based data services powering critical product features (content recommendations, search systems, page skeleton generation).
• Build and operate real-time data processors as well as robust batch pipelines supporting both analytical and operational use cases.
• Collaborate closely with backend and frontend teams to integrate data services seamlessly into user journeys.
• Contribute to architecture decisions that improve scalability and maintainability of our systems.
• Contribute to the industrialization and scalability of AI-powered features (e.g., RAG pipelines, model serving, evaluation workflows).
• Design and maintain data pipelines with strong observability and reliability standards.
• Contribute to the architecture and evolution of our cloud-based data infrastructure.
• Implement infrastructure-as-code through IaC and CI/CD pipelines to ensure reliable deployments and reproducibility.
• Strengthen observability, logging, and monitoring across data services and pipelines.
• Design and evolve scalable data warehouse models to support analytics, experimentation, and product-facing APIs.
• Optimize storage, query performance, and cost efficiency in our data warehouse.
• Establish best practices for data modeling, governance, documentation, and ownership.

Requirements

• Significant experience with Python (5+ years of professional experience with it)
• Experience in architecting and deploying data systems on AWS, GCP or similar
• Have experience dealing with container orchestration, preferably with Kubernetes
• Fluent in English
• Driven by a global tech vision and concern for optimizing solutions, technically, functionally and financially
• Ability to collaborate with different stakeholders and teams.
• Experience with the listed tools above, but having worked with similar technologies is fine.

Tech Stack

• AWS
• Cloud
• Google Cloud Platform
• Kubernetes
• Python

Benefits

• We provide a Swile card for your meal vouchers
• Sidecare health insurance
• Mobility package to reimburse your transport subscription.
• A partnership with Wellpass that gives you access to fitness classes and wellness activities for both exercise and relaxation.
• Access to our mental health platform teale, where you can book appointments with your psychologist or monitor your mental health.
• We allow you to work remotely two days per week.
• We provide you with a VIP code for Cafeyn, giving you unlimited access to all content on our platform.
• We organize four office meet-ups per year.