Palantir Foundry Engineer

Quick Facts

• Role: Palantir Foundry Engineer
• Focus: Designing and building data solutions on the Palantir Foundry platform

Description

As a core member of agile project teams, you will design, build, and maintain robust data solutions and infrastructure using the full potential of the Palantir Foundry platform. You will develop and troubleshoot complex data pipelines and processing systems, drive optimization and testing to ensure exceptional data quality, and collaborate with engineers, ML experts, and stakeholders. The role is client-facing and supports real-world business problem solving.

Responsibilities

• Develop, deploy, and troubleshoot complex data pipelines and processing systems with a strong focus on Foundry
• Optimize, test, and improve tooling to ensure exceptional data quality
• Collaborate with software engineers, ML experts, and stakeholders in a cross-functional agile environment
• Work in multi-functional agile teams to experiment, iterate, and deliver on new product objectives

Requirements

• Minimum 1 year of experience working with the Palantir Foundry platform (ideally in a larger company)
• Demonstrated experience with AIP, Workshop, Code repository, and Pipeline Builder
• Solid understanding of Foundry security concepts, including restricted views and markings
• Knowledge of ontology and data connection
• Proficiency in Python and PySpark
• (Nice to have) Knowledge of data modeling and basic data science concepts such as classification, clustering, and regression
• Strong client-facing skills: comfortable with business and technical clients, giving presentations, and demonstrating a problem-solving mindset
• Willingness to travel to meet clients and the team (up to 10% of time)

Benefits

• Opportunity to shape the expansion of a leading Swiss data & AI consultancy
• Compensation package with base salary and yearly bonus
• Flexibility on when and where you work, as long as commitments are met
• Work on cutting-edge data, AI, and analytics topics (e.g., Generative AI) with real impact
• Dedicated time and budget for training and pro-bono projects
• Paid days off
• Private health care and Multisport
• Cross-office/company events and a quarterly budget for team after-work activities