Senior Data Analytics Engineer

Náplň práce, právomoci a zodpovednosti:
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:
o Scalable data transformation pipelines in PySpark
o 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.

Zamestnanecké výhody, benefity:
You can look forward to extra rewards and benefits including:
- Attractive performance-based bonus
- Ultra flexible working time in hybrid setup, allowing you to work also from home
- Modern office spaces in attractive location
- 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

Informácie o výberovom konaní:
We are an equal opportunity employer, and we value diversity at our company. Our aim is to live visible and invisible diversity – diversity of age, race, ethnicity, nationality, gender, gender identity, sexual orientation, religious beliefs, physical abilities, personalities and experiences – at all levels and in all functions and regions. We also collaborate in a flexible working environment, providing you with a compelling degree of autonomy to decide how, when and where to carry out your tasks.

We provide feedback to all candidates via email. If you have not heard back from us, please check your spam folder.

Požiadavky na zamestnanca:
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