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Zurich, Zurich, CH

Stargate Data Analytics Engineer (80 - 100%)

About Swiss Re


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.



About the Role

Working in the Group Data Services (GDS) you will work with teams across Swiss Re to solve some of the hardest problems in the re/insurance data space using cutting-edge technologies. In this role you will play a key role in the adoption of Stargate across Swiss Re. 
In particular, you will:

•    Collaborate and contribute as part of agile project teams of product owners, scrum masters, actuaries and other fellow data engineers/data scientists
•    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


About the Team

You will be part of the Stargate Center of Expertise (CoE) which is part of the recently established Group Data Services (GDS) organization. 
The Stargate CoE consists of a team of enthusiastic data strategists, data engineers, architects and platform specialists dedicated to realizing the full potential of Swiss Re's data. We engage with all parts of the company, enabling them to formulate and execute data ambitions, to develop group-wide data assets and to provide data-driven products and services to our clients. 


About You

•    University degree (or similar) in Computer Science, Data Science, Math, Statistics or Engineering
•    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



We are an equal opportunity employer, and we value diversity at our company. Our aim is to live visible and invisible diversity – diversity of age, race, ethnicity, nationality, gender, gender identity, sexual orientation, religious beliefs, physical abilities, personalities and experiences – at all levels and in all functions and regions. We also collaborate in a flexible working environment, providing you with a compelling degree of autonomy to decide how, when and where to carry out your tasks.


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Reference Code: 108306 


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