Data Engineer

About Swiss Re

The Swiss Re Group 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. It anticipates and manages risk – from natural catastrophes to climate change, from ageing populations to cybercrime. The aim of the Swiss Re Group is to enable society to thrive and progress, creating new opportunities and solutions for its clients. Headquartered in Zurich, Switzerland, where it was founded in 1863, the Swiss Re Group operates through a network of around 80 offices globally. It is organized into three Business Units, each with a distinct strategy and set of objectives contributing to the Group’s overall mission.

About The Role

Are you sharp, ambitious, and looking for an exciting challenge where you can help us move towards our target architecture? We have many critically important data processing pipelines to build and a data architecture to evolve. Do you want to learn from an amazing international team, where you can grow your technical expertise and functional acumen, and where you can make a difference? If yes, then read on.

This is a superb role in our Finance InfoTech Data & Analytics product area, where you will be focusing on software/data engineering mostly using Python alongside cloud-native technologies (Databricks, Azure DevOps, delta lake tables, spark structured streaming, lakehouse architecture) in Microsoft Azure. We process billions of records of financial data, constantly pushing forward the limits of our system and seeking for better scalability, lower end-to-end processing latency, and improved processing transparency.

In this role, you will be expected to participate in the full development lifecycle, not only engineering and maintaining high-stability and performant solutions, but also working closely with our business partners, IT experts and architects to help understand requirements, shape and evaluate solutions, participating in code reviews, ensuring accurate and relevant documentation and not least of all, supporting our operations team with complex problems.

About The Team

We are a small, dynamic, and international team of experienced specialists, located around the globe and together we are rebuilding the Swiss Re Finance data back-bone with cloud-native technologies on the Microsoft Azure platform. We value passion, curiosity, openness, respect, humbleness, and the desire to grow oneself. We don't enjoy working in silos, so expect a rich environment that enables you to learn from others when you join us. We focus on outcomes and an open feedback culture, and which allow us to offer growth in careers and not just a job.

About You

You are a result-driven experienced software engineer, passionate about your craft and eager to grow further into the modern data engineering using Python on Databricks, comfortable meeting (sometimes tight) deadlines and confidently taking ownership of features. You have an accomplished record in delivering sustainable solutions and you desire to develop your skills and knowledge about the platforms which you will be working on, both the technical aspects and how they are used by our business partners. You are comfortable working in multi-dimensional agile teams with direct involvement from business subject matter experts and care about security, quality, user experience, documentation, testing, team spirit and the overall big picture. Finally, you want to put clean code principles into practice on large code bases.

Your Core Assets:

• Bachelor's or master's degree in computer science or electrical engineering
• Proven experience developing complex software systems as a software engineer (at least 4 years)
• At least 1 years using Python as the primary programming language and have a solid understanding about Python core.
• Have a good understanding and experience with projects using relational data models and SQL
• Good work ethic and self-starter. Not content to be "task driven". You look out for issues, opportunities and address them when you can, raise them when you can't
• Good analytical skills and the ability to understand complexity and break it down into smaller, achievable steps
• Highly proficient in English (written and verbal)
  
  

The Following Would Be Highly Advantageous:

• Experience with Apache Spark, Delta Lake tables, and Pandas
• Experience of building distributed systems
• Experience of developing library code
  
  

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, including gender identity or expression, sexual orientation, age, marital status, veteran status, or disability status. Swiss Re offers modern work models and attractive workplaces that allow all employees to adapt to changing work preferences and life phases.

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.

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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