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Swiss Re Management AG

Data Engineer



Platod 3200 €


ÚroveňSenior ⭐️⭐️⭐️


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.

Náplň práce

We are searching for a strong and experienced Data engineer who has experience in implementing robust, reliable and successful data processing solutions using Python for business processes. The main responsibility will be working on internal Swiss Re business processes which create reports to external financial regulators around the world and contribute to the development of the GFTA Reposotiry.

About team

You will join a SCRUM Team contributing to the large project, which is transforming our Group Finance department to be cloud native. The business area handles significant amounts of financial data. In your area you will be extending the current solution according to business requirements and internal technical requirements. Python with pandas library will be your toolkit to achieve the objective.

Our target landscape is the Microsoft Azure cloud. A key platform to run data processing is Azure Databricks, with integration to multiple other services, amongst which are Data Lakes and Java.


In this role you will:

  • work closely with business representatives and Product Owner to understand requirements, formulate solutions and evaluate the implementation effort
  • enhance your knowledge and perform analysis of the business processes
  • design, develop and maintain data transformation modules, which are fully supported by automated tests
  • provide support during the closing periods and assist stakeholders with data-related functional and technical issues
  • participate in code reviews as a senior technical expert and provide technial expertise to other teams/members
  • contribute to shape the future technical landscape
  • participate in an agile SCRUM team

You will have:

  • bachelor's degree or equivalent in Computer Science or similar disciplines
  • at least 3 years of experience developing IT solutions as a software engineer
  • experience with Python in data processing area using Pandas or PySpark
  • eager to learn new things
  • strong Python with experience in data processing area using Pandas or PySpark
  • practical experience applying automated testing and modern deployment practices on the for mentioned platforms, including Azure DevOps
  • engineering mindset with focus on delivering robust solutions


You can look forward to extra rewards and benefits including:

  • Attractive performance-based bonus
  • Flexible working time with occasional home office
  • 5 additional days of holiday
  • Lunch allowance fully paid by Swiss Re
  • Referral bonus
  • Pension & risk insurance contribution
  • Sick days and sick leave support
  • Public transport benefit
  • Multisport card

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