Senior Data Engineer

Quick Facts

• Role: Senior Data Engineer (German required)

Description

You will develop and implement strategic digitalization projects using AI across the insurance value chain. The role focuses on preparing and integrating structured, semi-structured, and unstructured data for (Gen)AI solutions, and on deploying and operating machine learning and (Gen)AI solutions with an MLOps approach. You will design, implement, and operate scalable data-management and (Gen)AI solutions in cloud environments and support operational units in building and enhancing ML and (Gen)AI applications.

Responsibilities

• Develop and implement digitalization projects using AI across the insurance value chain
• Prepare and integrate large volumes of structured, semi-structured, and unstructured data for (Gen)AI solutions
• Contribute to productive deployment and operations of ML and (Gen)AI solutions with MLOps
• Design, implement, and operate scalable data-management and (Gen)AI solutions in cloud environments
• Support and advise operational units on using results to develop and further enhance ML and (Gen)AI applications

Requirements

• Fluency in English and German
• University degree in natural sciences, (applied) mathematics, computer science, business informatics, or a related field
• Solid data modeling and data visualization knowledge with scalable data management concepts, including standardized ETL processes and data pipelines
• Practical experience taking data and MLOps into production
• Sound knowledge of one or more programming, scripting, and database languages (e.g., Python, Spark, SQL)
• Experience with version control systems (e.g., GitHub)
• Experience with cloud technologies (e.g., Azure, AWS)
• Proactive, innovation-oriented way of working with the ability to work networked
• Experience designing and implementing data- and AI-driven solutions using classical ML models, LLMs, RAG architectures, and/or agent-based systems
• Preferably insurance industry experience
• Willingness to travel

Benefits

• Medical package; sports card and numerous sports sections
• Work-life balance with flexible working hours, confidential employee assistant program, and possibility of remote working
• Workshops and training courses; hackathons and meetups; digital learning platforms and language courses
• CSR activities supporting community initiatives
• Engaging team activities (e.g., bike races, soccer matches, film marathons)
• Inclusive culture valuing qualifications, experience, and mindset