Lead Data Analytics Engineer

 

As a Lead Data Analytics Engineer in Swiss Re’s Specialty Analytics team, you own highimpact data and analytics solutions for the Property & Casualty (P&C) domain, working with modern bigdata technologies to turn complex data into actionable insights that support business decisions. You’ll be also acting as a technical lead and mentor, shaping best practices and supporting other engineers’ growth as their line manager. 

 

What You’ll Do 

• Design and build end‑to‑end analytics solutions in Palantir Foundry 

• Scalable PySpark data pipelines 

• User‑facing web apps using Workshop and TypeScript 

• Act as technical lead on initiatives, translating business needs into robust designs 

• Improve architecture, performance, data quality, and developer experience 

• Mentor engineers through code reviews, design discussions, and knowledge sharing 

• Collaborate in a global, cross‑functional environment 

 

About the Team 

The Specialty Analytics team delivers analytics for niche lines of business including Agriculture, Aviation, Credit & Surety, Cyber, Nuclear, and Political Violence. We are part of a global P&C data initiative and value ownership, collaboration, and leadership at all levels. 

 

About You 

You enjoy both building technical solutions and helping your team to continuously grow and improve through inspiring leadership. 

 

We are looking for candidates who meet these requirements: 

• Senior level experience in data engineering or analytics 

• Strong proficiency in Python and PySpark  

• Solid understanding of data warehousing, ELT, and cloud data architecture 

• Comfortable leading by example and mentoring others 

• Strong problem‑solving and communication skills 

 

These are additional nice to have: 

• Experience building applications with JavaScript or TypeScript 

• Palantir Foundry experience 

• (Re)Insurance or financial domain knowledge 

• Experience with Generative AI and/or Natural Language Processing

 

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.

 

We may use AI-powered tools to support the review and evaluation of applications for this position. These tools provide additional insights to our recruitment teams, but all hiring decisions are carefully reviewed and made by people. To learn more about how we use AI in recruitment and how we handle your personal data, please review our Data Privacy Statement before applying.

 

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