Data DevOps Engineer (m/w/d)

Ihre Aufgaben:

Design, realization, and maintaining solutions in the data platform. That includes developer tooling, services, monitoring, and automation.
Establishment and progressive enhancement of cutting-edge data utilization in CPP
Design architectures for platform solutions providing value to stakeholders in the organization.
Integrate CI/CD and automatic release management and QA practices to data solutions.
Manage the build and deployment of platform and data solutions
Creation and maintenance of database systems
Manage and run resources on Kubernetes

Ihre Qualifikationen:

A Bachelor's or Master's degree in Computer Science, or demonstrated equivalent experience at a comparable level
Expertise in Modern Data and Platform Engineering
Infrastructure Automation and Platform Development
Collaborative, Growth and Quality Oriented Mindset
Extensive knowledge in Docker, Kubernetes, and Python as well is a prerequisite. This includes solid knowledge about the ecosystems around those tools as Helm and argo in the k8s domain.
Experience with Airflow, ClickHouse is expected, and Lakehouse Technologies and Trino are a plus.

Ihre Vorteile:

Working hours: 36 hours/week
Remote work: Limited (hardware/machine access required)
Vacation: 30 days
Structured onboarding and buddy system to help you get started
Company canteen
Good rail connection