Stargate Data Analytics Engineer (80 - 100%)

Swiss Re is one of the world’s leading providers of reinsurance, insurance and other forms of insurance-based risk transfer, working to make the world more resilient. We anticipate and manage a wide variety of risks, from natural catastrophes and climate change to cybercrime. Combining experience with creative thinking and cutting-edge expertise, we create new opportunities and solutions for our clients. This is possible thanks to the collaboration of more than 14,000 employees across the world.

Our success depends on our ability to build an inclusive culture encouraging fresh perspectives and innovative thinking. We embrace a workplace where everyone has equal opportunities to thrive and develop professionally regardless of their age, gender, race, ethnicity, gender identity and/or expression, sexual orientation, physical or mental ability, skillset, thought or other characteristics. In our inclusive and flexible environment everyone can bring their authentic selves to work.

• Leverage data to develop innovative analytics products jointly with teams across the organization using various data science techniques
• Build solutions that enable business units to grow revenue and/or increase operational efficiency
• Use your strong background in algorithms to implement scalable data pipelines
• Break down large and complex projects in smaller parts that you can implement independently
• Network with data experts across Swiss Re to expand and use big data technologies across the firm

• Familiarity with data structures, algorithms, storage systems, cloud infrastructure
• Knowledge about frontend development frameworks is a plus
• In depth skills on various technologies needed for data science and data engineering
• Proficiency with programming/scripting languages such as Python/PySpark, R, Java, SQL or similar
• In-depth knowledge of distributed computing frameworks/Spark
• Knowledge of Palantir Foundry platform is nice to have
• Ability to work effectively in teams with both technical and non-technical individuals in a rapidly changing environment with dynamic objectives
• Ability to communicate complex technical concepts and results in a clear and precise manner to non-technical audiences
• Demonstrated ability to work independently and make decisions with minimal supervision
• Excellent verbal and written communication skills
• English fluent is a requirement, German or any other language is a plus
• Experience in insurance/reinsurance or financial industry is a plus