Senior Platform Engineer (Cloud & Analytics)

Quick Facts

• Role: Senior Platform Engineer (Cloud & Analytics)
• Focus: Cloud and analytics platform engineering, automation, standards, and self-service

Description

You will develop, operate, and continuously improve a central Analytics & Pricing analytics platform. The role includes shaping the platform architecture and technical direction, automating an Azure-based analytics platform with Terraform, and maintaining a Docker-based development platform (including VS Code). You will also establish standards so Data Scientists and actuaries can use self-service effectively.

Responsibilities

• Develop, run, and continuously enhance the central analytics platform
• Participate in future-oriented platform architecture, operations, and technical direction
• Build and automate the Azure-based analytics platform and its infrastructure with Terraform
• Provide reliable operation and evolution of the Docker-based development platform (including VS Code)
• Establish platform standards for simple, consistent, and efficient self-service
• Support teams with professional software engineering, including GitLab, Git workflows, Python projects, CI/CD, and modern development standards
• Develop reusable tools and platform components; advise on technical questions; promote knowledge sharing through trainings

Requirements

• Relevant academic degree (e.g., Informatics or IT-Security)
• Multi-year experience as a Cloud, DevOps, or Platform Engineer; interest in modern analytics platforms
• Solid knowledge of Microsoft Azure, Terraform, Infrastructure as Code, and modern cloud architectures
• Knowledge of Git, GitLab Enterprise, CI/CD, modern software development processes, and Developer Experience
• Very strong Python skills, including automation, dependency management, packaging, and reusable tools
• Experience building standardized development platforms and setting technical standards and self-service concepts
• Ability to explain complex technical topics clearly and pragmatically support Data Scientists and actuaries
• Independent, structured, service-oriented communication and team-oriented solution development

Benefits

• Flexible working hours with home office and office work; 38-hour week with time tracking, flex time, and a life-work account
• 30 vacation days plus additional days off on December 24 and 31
• Compensation: 14 monthly salaries or participation in a variable compensation system; special payments, employee rates, and discounts
• Company pension plan, health management, fitness/sports offers, company health insurance, job ticket, and bike leasing
• Support for families and caregivers; company restaurant
• Development opportunities via internal academy and external qualifications
• Collaborative culture and team spirit