Data Engineer

Náplň práce, právomoci a zodpovednosti:
Make a meaningful impact at the intersection of data and sustainability! Join our innovative team where your technical expertise will drive environmental initiatives and help shape a more resilient future.

About the Role

As a Data Engineer in our Product Area "Research & Sustainability," you'll be at the forefront of supporting impactful sustainability initiatives through data-driven solutions. This role offers an excellent opportunity to apply your technical skills to meaningful projects while collaborating with experienced professionals across our global organization.

Key Responsibilities:

- Support and develop data pipelines and products in collaboration with our Lead Engineer
- Write and maintain high-quality, efficient code that meets our technical standards
- Analyze complex datasets to identify patterns and help create valuable insights
- Collaborate effectively with cross-functional teams to ensure product success
- Contribute to innovation in our sustainability-focused technical solutions

About the Team

Our team drives data-driven insights and technological innovation within Group Underwriting. We create tech solutions tailored for sustainability, working in a global environment with colleagues based in Zurich, Bratislava, Bangalore, and beyond. This is an exciting opportunity to learn from experienced professionals and grow in a dynamic, international setting.

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

Požiadavky na zamestnanca:
Required Skills and Experience:

- Strong PySpark proficiency with demonstrated ability to develop efficient data processing solutions and optimize distributed computing workflows
-Strong understanding of Data Engineering principles including CI/CD practices and experience in either Data Modelling, ETL processes, big data technologies or data warehousing
- Additional Python/Scala programming skills with proven problem-solving abilities and analytical thinking

 These are additional nice to haves:

- Experience implementing advanced PySpark features such as custom transformations, window functions, and UDFs
- Knowledge of Palantir Foundry and Azure cloud platforms
- Experience working in agile project environments and with tools like Azure DevOps
- Skills in generating and interpreting complex data sets
- Familiarity with QA and testing frameworks
- Understanding of Typescript