Java Programming, Python Programming, C++, C Programming, SQL, Apache Hadoop, Scala Programming, Machine learning techniques, Data science techniques, PyTorch, TensorFlow, MapReduce, R Programming
iptiQ EMEA Property & Casualty is a start-up within Swiss Re with the mission to make the insurance buying process easy, transparent and 100% digital. From cyber to smart home insurance, we pride ourselves on bringing you innovative insurance products that are ready for the future today. We work with established B2C and B2B brands to build tailored insurance service at attractive prices.
About the role
Glad you’re interested! We’re looking for a determined data engineer to help craft our digital solutions and change the way insurance is bought online. No more insurance talk that only a lawyer understands, we’re here to make a difference!
You would be designing and implementing data pipelines and data models in close collaboration with our analytics and other engineering teams plus improve our cloud base data infrastructure (Amazon AWS). Focusing on balancing scale and performance with a pragmatic approach
At the same time improve existing data models ensuring availability, governance and quality while implementing new business capabilities. Last but not least delivering high-quality code, focusing on correctness, simplicity, performance and maintainability.
This is what we will look for
What we offer
We're a scale-up embedded within an organization known for its high-caliber talent and excellent benefits. So, you get the best of both worlds - a fast paced environment with a genuine work-life balance and more.
We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
Swiss Reinsurance Company Ltd, commonly known as Swiss Re, is a reinsurance company based in Zurich, Switzerland. It is the world's largest reinsurer, as measured by net premiums written.
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