Data Platform Engineer (Palantir Foundry) (m/f/d)

Benefits

Additional Information

We're looking for a Data Platform Engineer to help us design, build, and operate robust data solutions on Palantir Foundry. This is a high-impact, end-to-end role where engineering meets operations-you won't just ship pipelines, you'll own them in production and ensure they deliver reliable, high-quality data to users every day. If you enjoy solving complex data problems, optimizing large-scale pipelines, and being the go-to expert who keeps things running smoothly-you'll thrive here. WHAT WILL YOU DO: Own production data pipelines end-to-end : Ensure reliability, performance, and scalability across the entire lifecycle. Build and optimize data solutions : Develop pipelines and applications using PySpark and Foundry tools to process massive datasets efficiently. Champion data quality : Design monitoring, validation frameworks, and health checks to guarantee trusted data. Keep the platform running smoothly : Monitor workflows, troubleshoot issues, and respond to incidents with a focus on long-term improvements. Act as the first line of support: Help users resolve data, access, and pipeline issues quickly and effectively. Drive operational excellence : Conduct root cause analysis and implement automation to prevent recurring issues. Collaborate across teams : Work closely with Foundry admins, engineers, and business stakeholders to define standards and improve the platform. Shape the way we work with data: Contribute to best practices in data engineering, governance, and platform usage. YOU WILL SUCCEED IF YOU: Have experience with data engineering / big data ecosystems Have hands-on expertise with PySpark and distributed data processing Have experience working with production data pipelines and troubleshooting Have understanding of data quality, monitoring, and governance Are able to balance development and operational responsibilities Have solid software development skills with a focus on writing clean, readable, and maintainable code in Python Have experience with testing practices, including unit/integration testing and validating data pipelines Are proficient in version control systems (e.g., Git) and collaborative development workflows Are familiar with designing and working with REST APIs Have commitment to code quality, documentation, and best practices Have strong problem-solving mindset and ownership attitude have experience with Palantir Foundry (or similar platforms) is a big plus Speak: English - Upper intermediate (B2) German - Advantage Other criteria or requirements Willingness to learn new technologies TypeScript, SQL Good skills in integrating systems and applications Good understanding of Cloud systems, DevOps concepts, and tooling Experience with data platform reliability / DataOps practices Familiarity with automation and workflow orchestration Exposure to user-facing data applications or analytics tools Ability to work both individually and in team Being self-motivated and organized Don't Meet Every Requirement? We know that great candidates don't always tick every box. If you're excited about this role, passionate about working with data, and eager to learn new technologies like Palantir Foundry, we encourage you to apply anyway. We value curiosity, growth mindset, and the willingness to take ownership just as much as experience-so if this sounds like you, we'd love to hear from you.

Your Match

How well this role fits your profile.

Company Intel

What employees say

Worked at Deutschetelekomitsolutionsslovakia? Share your experience