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

Data Platform Engineer

Company: Deutsche Telekom IT Solutions Slovakia
Location: Košice region (Remote within Slovakia)

Company Overview:
Deutsche Telekom IT Solutions Slovakia, formerly T-Systems Slovakia, has been a significant part of the Košice IT landscape since 2006. As one of the founding members of Košice IT Valley, we have grown to be the second-largest employer in Eastern Slovakia with over 3900 employees. Our focus is on proactively seeking new ways to improve and transform into a provider of innovative information and communication technology services.

About the Role:
We are seeking a Data Platform Engineer to design, build, and operate robust data solutions on Palantir Foundry. This is a high-impact, end-to-end role that combines engineering and operations. You will not only ship data pipelines but also own them in production, ensuring reliable, high-quality data delivery. If you excel at solving complex data problems, optimizing large-scale pipelines, and ensuring smooth operations, you will thrive in this role.

What You Will Do:

• Own production data pipelines end-to-end, ensuring reliability, performance, and scalability.
• Build and optimize data solutions using PySpark and Foundry tools for massive datasets.
• Design and implement monitoring, validation frameworks, and health checks to guarantee data quality.
• Monitor workflows, troubleshoot issues, and perform incident response with a focus on long-term improvements.
• Act as the first line of support for data, access, and pipeline issues.
• Conduct root cause analysis and implement automation to prevent recurring problems.
• Collaborate with Foundry admins, engineers, and business stakeholders on standards and platform improvements.
• Contribute to best practices in data engineering, governance, and platform usage.

You Will Succeed If You Have:

• Experience with data engineering / big data ecosystems.
• Hands-on expertise with PySpark and distributed data processing.
• Experience working with production data pipelines and troubleshooting.
• Understanding of data quality, monitoring, and governance.
• Ability to balance development and operational responsibilities.
• Solid software development skills in Python, focusing on clean, readable, and maintainable code.
• Experience with testing practices (unit/integration testing, data pipeline validation).
• Proficiency in version control systems (e.g., Git) and collaborative development workflows.
• Familiarity with designing and working with REST APIs.
• Commitment to code quality, documentation, and best practices.
• Strong problem-solving mindset and ownership attitude.
• Experience with Palantir Foundry (or similar platforms) is a significant plus.

Languages:

• English – Upper intermediate (B2)
• German - Advantage

Other Criteria:

• 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 independently and in a team.
• Self-motivated and organized.

Don't Meet Every Requirement?
We encourage you to apply if you are excited about this role and passionate about working with data, even if you don't meet every single qualification. We value curiosity, a growth mindset, and the willingness to take ownership.

Benefits:
We offer an attractive and extensive work-life balance portfolio, including financial benefits, learning and development opportunities, health and sport benefits, and family/work-life balance benefits.

Salary:
Final salary is negotiable, depending on seniority and experience. In addition to base salary, we offer a variable part and other financial benefits. The base salary will not be lower than 2000 € /brutto.

Additional Information:
Remote working possibility is only available within Slovakia due to European taxation regulation.