Senior Data Analytics Engineer (Pyspark,Optimization)

About the Role

You will be working as Senior Data Analytics Engineer, closely collaborating with the team and partners across the organisation.

Jointly, we are contributing to our overall delivery and success of the Swiss Re Institute product portfolio with the purpose to translate foresight, research, market intelligence and sustainability initiatives into risk insights and create new commercial capabilities.

In your role you are responsible to:

• Lead data & analytics projects and partner with our business functions and senior management

• Design, build and maintain data pipelines and impactful data products in close cooperation with users and business owners

• Ensure solutions are developed and implemented following standards, using high-quality code, focusing on simplicity, performance and maintainability

• Analyse data, identify issues, create complex functions and scripts

• Work within one or more scrum teams

About the Team

We build and deliver ground-breaking and robust technological capabilities to generate data-driven insights and best fit tech applications for the Swiss Re Institute consisting of Research, Engagement & Sustainability and Group Economic & Sigma Research departments. Being the link between research and applied R&D, the team drives exploitation and innovation to transfer selected capabilities into impactful and value adding data solutions.

While most of your peers and key partners are based in Zurich with representation in Bratislava in Bangalore, the team is composed of an international workforce based in different locations and serving a global customer basis.

About You

We are seeking a passionate person with excellent data engineering skills and proficient in Python. You have expertise in distributed computing frameworks, Spark is a must have with others being an advantage.

• demonstrable experience working with CI/CD processes for data as well as data testing and monitoring

• knowledge on system design, data structures, algorithms, storage systems, and cloud infrastructure

• strong understanding of data modelling and data architecture concepts

• strong analytical skills and eagerness to fully understand a subject domain

• excellent verbal and written communication skills, being able to describe complex technical concepts and results in a clear and detailed manner to non-technical audiences

• good command of English, the knowledge of other languages is an asset

You are a quick learner and eager to explore the unknown with an ability to build and maintain good working relationships with business partners. You are motivated to work effectively in diverse teams with both technical and non-technical individuals where you act as connector between business and data.

You enjoy teamwork with the ability to take responsibility, be self-reliant and business value oriented while paying attention to detail.

Are you up for the challenge? We are looking forward to hearing from you!

Nice to have

• Experience in Palantir Foundry and Azure

• Worked in agile projects using agile collaboration tools (e.g. Azure DevOps)

• ML knowledge and MLOps/model operationalization

• Experience in insurance/reinsurance or financial industry

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. We cover both Property & Casualty and Life & Health. 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 and their passion for sustainability.

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