Data Engineer

access and processing - Ensure high standards for data quality, reliability, security, and governance - Collaborate with systems engineers, ML engineers and analytics teams to deliver end-to-end data solutions - Lead technical decision-making, set best practices, and mentor engineers across teams ## Job requirements Your profile: - Extensive experience in data engineering and backend/platform engineering - Strong expertise in Python, Java, SQL, and AWS ecosystem - Hands-on experience with Kubernetes (EKS), containerization (Docker), distributed event streaming frameworks (Kafka), and microservices architecture - Experience deploying and managing APIs and services in Kubernetes environments - Solid understanding of CI/CD pipelines and infrastructure as code - Familiarity with orchestration tools (e.g., Airflow) - Strong system design skills and ability to operate at scale - Excellent communication and leadership skills As a Staff Data Engineer, you will

play a key role in bridging data engineering with modern platform engineering practices, ensuring our AWS-based data ecosystem is scalable, reliable, and developer-friendly.

Bonial, part of Axel Springer SE, is a leading drive to store marketing partner across Europe. With our kaufDa and MeinProspekt platforms, Bonial inspires millions of shoppers each month by connecting them with their favorite brands & retailers.

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