Senior Data Analytics Engineer

About the Role 

As a Senior Data Engineer in the Specialty Analytics team at Swiss Re, you will architect and develop advanced data and analytics solutions that drive key business decisions in our Property & Casualty (P&C) domain. You’ll be part of a forward-looking team using cutting-edge big data technologies to address challenges posed by climate change, geopolitical instability, and emerging risk areas. 

You’ll take end-to-end ownership of data solutions, working closely with stakeholders to transform raw data into actionable insights through scalable pipelines and interactive applications.

 

Key Responsibilities 

• Design and implement end-to-end analytics solutions using Palantir Foundry, including: 

• Scalable data transformation pipelines in PySpark 

• Web applications with Workshop (low-code) and TypeScript 

• Translate business needs into technical specifications in close collaboration with Product Owners and Architects. 

• Troubleshoot and resolve functional and technical data issues for stakeholders. 

• Actively contribute to the evaluation and prototyping of new analytics platform capabilities. 

• Collaborate across a global, cross-functional team to deliver robust and high-impact data products. 

 

About the Team 

The Specialty Analytics team delivers tailored analytics solutions across niche lines of business: Agriculture, Aviation, Credit & Surety, Cyber, Nuclear, and Political Violence. We’re part of a global strategic initiative to maximize the value of P&C data and enable data-driven decisions across the reinsurance value chain. 

 

About You 

You're passionate about solving complex big data problems and turning data into strategic assets. A self-starter and strong collaborator, you're eager to deliver innovative solutions in a dynamic, global setting. 

 

Your Profile 

• Degree in Computer Science, Data Science, or a related field 

• 6+ years of experience in data engineering or analytics roles 

• Expertise in Python/PySpark for scalable data pipelines 

• Proficiency in SQL, especially Spark SQL 

• Experience building user-facing applications with JavaScript/TypeScript 

• Familiarity with Palantir Foundry is a significant advantage 

• Domain knowledge in (Re)Insurance, finance, or related fields is a plus 

• Understanding of data warehousing, ELT techniques, and cloud data architectures 

• Agile mindset and practical experience with Scrum or other agile frameworks 

• Bonus: knowledge of HTML/CSS, Gradle, or Power BI 

 

Soft Skills 

• Strong analytical, problem-solving, and communication skills 

• Able to manage own workload and deliver autonomously 

• Comfortable working in global and multicultural teams 

• Curious, adaptable, and enthusiastic about continuous learning 

 

Nice to Have 

• Experience with Machine Learning or Generative AI 

• Project management skills within agile delivery environments 

 

 

For Slovakia the base salary range for this position is between [EUR 3,300] and [EUR 5,500] 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, Swiss Re offers an attractive performance-based variable compensation component, designed to recognise your achievements. Further you will enjoy a variety of global and location specific benefits.​

Eligibility may vary depending on the terms of Swiss Re policies and your employment contract.

 

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.

 

 

Keywords:  
Reference Code: 134362