Senior Application Engineer - Palantir Foundry

A great opportunity is available for an Application Engineer with strong Palantir Foundry expertise to join a project in Zurich on a contract running until December 2026.

• Work within an Agile delivery environment using two-week sprints, taking end-to-end ownership of design, development, testing, and deployment of new features.
• Lead the greenfield development of a manual data management application in Palantir Foundry.
• Design and implement functionality for structured data uploads, template-based data capture, validation, storage, role-based access control (RBAC), approval workflows, and submissions to external providers.
• Collaborate closely with business stakeholders to gather, refine, and translate evolving requirements into scalable technical solutions.
• Build and maintain robust data pipelines across Master Data Management (MDM), Palantir Foundry, and external systems.
• Ensure high standards of data quality, validation, governance, auditability, and end-to-end traceability.
• Contribute to solution architecture, technical design decisions, and implementation best practices.
• Integrate enterprise systems through APIs and external interfaces.
• Partner with subject matter experts, internal technology teams, and external implementation partners to deliver business-critical solutions.
• Support system testing, User Acceptance Testing (UAT), deployment activities, and production releases.
• Proactively identify and resolve technical blockers while maintaining close collaboration with product owners, business analysts, and senior business stakeholders.
• Ensure all solutions align with established enterprise architecture, governance, and security standards.

This is a critical delivery role requiring a hands-on, self-driven professional who can independently deliver projects on time, within scope and budget, while confidently engaging business stakeholders in a fast-paced environment.

• Palantir Foundry, including Workshop and Contour
• Designing and building workflow-driven applications with RBAC, approval workflows, audit trails, versioning, and governance
• Data pipelines, ingestion frameworks, and data modelling (ADM, datasets, schemas)
• Python, PySpark, and SQL for scalable data and application development
• System integrations via APIs and interfaces
• A hands-on, delivery-focused mindset with strong ownership and execution skills