Data Engineer

About the team

 

Solvency solutions is one of many team in our Finance InfoTech department, and our mission is to ensure an ever-changing IT platform remains stable so that our business partners can prepare timely financial figures, under the regulatory regimes of Solvency 2 (European Union), SST (Switzerland) and Solvency UK.

 

We are a compact, skilled and diverse team, responsible for analysis, design, development and maintenance of our solutions using Python (Pandas, Apache Spark).   We value creativity, openness and We are delighted to extend our team and are searching for a strong and experienced Python engineer who has demonstrable experience implementing robust, reliable and successful data processing solutions.

 

You will join a large project, which is transforming our Finance systems to make more use of cloud technologies.  Our systems handle large amounts of financial data, 100s of millions of financial records through the various reporting cycles.  Our pipelines need to support high concurrency, accuracy and low latency when preparing and serving the data to our partners.  Our primary platform is Microsoft Azure cloud, where we prefer to use Platform as a Service (PaaS).   We also make extensive use of Azure Databricks, which will form the core of our data processing pipeline.

 

In this role you will…

 

• Work closely with business and IT Feature Owners, Product Owners and Architects to understand requirements, formulate solutions, and evaluate the implementation effort
• Design, develop and maintain scalable data transformation pipelines that are supported by automated tests
• Take on troubleshooting activities, ensure timely customer communication and coordinate follow-up activities
• Join Swiss Re's healthy and transparent risk culture where everyone engages in continuous risk accountability activities

 

Your qualifications

 

What we need from you

• Bachelor's degree level or equivalent in Computer Science or similar discipline
• Several years of experience working with large scale software systems as a software engineer
• Strong in Python (big data tools - Pandas and Apache Spark )
• Problem-solving skills and commitment to quality and timely delivery
• Passion, drive, and a belief in the value of data insights as an enabler of business performance

 

Nice-to-have

• Experience in distributed computing/databases
• Practical experience with scalable ‘big data’ data stores (Azure Data lake or Synapse preferably)
• Practical experience applying automated testing and modern deployment practices on the for mentioned platforms, including Azure DevOps
• Experience with Azure Portal and general knowledge about cloud resources and working in an Agile setup
• Experience with design and structure of solutions (Composition, Inheritance, Design Principles)

 

For Slovakia the base salary range for this position is between [EUR 2,400] and [EUR 4,100] per month (for a full-time role). The specific salary offered considers:

• the requirements, scope, complexity and responsibilities of the role,
• the applicant’s own profile including education/qualifications, expertise, specialisation, skills and experience.

 

In addition to your base salary, you may be eligible for additional rewards and benefits including an attractive performance-based bonus.

#LI-Hybrid

 

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 and their passion for sustainability.

If you are an experienced professional returning to the workforce after a career break, we encourage you to apply for open positions that match your skills and experience.

 

 

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