Design and implement end-to-end analytics solutions using Palantir Foundry
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

Requirements

University degree or equivalent experience with a quantitative background
Previous experience with coding / software engineering during studies or in a professional context
Experience in building applications and/or data visualizations is a plus
Understanding of data modelling concepts and SQL
Working with data pipelines, experience with (Py)Spark is a plus
Experience with Palantir Foundry is a plus
Domain knowledge in (Re)Insurance is a plus
Interest to analyze data within the business landscape while applying conceptual and problem-solving skills
Enjoy dealing with colleagues in business functions

Benefits

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

PySparkTypeScriptdata transformationdata modelingSQLanalytics solutionsdata visualizationsoftware engineeringcodingproblem-solving

Soft Skills

collaborationcommunicationtroubleshootinganalytical skillsconceptual skills