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

 Posted 3 hours ago
     
2-5 years experience
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AI Summary

Design, build, and operate robust data solutions and production pipelines on Palantir Foundry. Ensure platform reliability through monitoring, troubleshooting, and implementing automation to prevent recurring issues.

Company Description

Our brand Deutsche Telekom IT Solutions Slovakia entered the life of Košice region in 2006 under the name of T-Systems Slovakia and ever since has been inextricably linked with the region when became one of the founding members of Košice IT Valley. We have managed to grow from scratch to the second largest employer in the eastern part of the country with more than 3900 employees. Our goal is to proactively find new ways to improve and continuously transform into the type of company providing innovative information and communication technology services.

Job Description

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.

Purpose

DevOps Engineer is responsible for entire lifecycle of Continuous Integration/Continuous Deployment pipelines and Infrastructure as Code approaches. Takes account and defines automated configuration management, release management, build, test and deployment activities.

 

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. 

Qualifications

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 
  • Have ability 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 proficiency 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 

Language: 

  • 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. 

Additional Information

WHY SHOULD YOU CHOOSE US?

We believe in balance between work and personal life. An attractive and extensive work-life balance portfolio guarantees lasting motivation for employees and thus a better quality of life, promotes physical and mental well-being and contributes to a positive work environment. All this with the aim of providing more freedom in reconciling work, career growth, private life and individual lifestyle. Therefore we offer to our employees over 25 different benefits to improve their personal and professional life in these areas:

  • Financial benefits
  • Benefits with focus on learning and development
  • Benefits with focus on health and sport
  • Benefits with focus on family and work – life balance
  • Other benefits

For more information about our benefits click to Benefits

Salary

Final salary is negotiable.

We are offering base salary depending on seniority level and previous experience of candidate. In addition to base salary we provide variable part and other financial benefits. Base salary will not be lower than 1650€ /brutto.

Additional information

* Please be informed that our remote working possibility is only available within Slovakia due to European taxation regulation.

  • Location: Remote from Slovakia
  • Company: Deutsche Telekom System Solutions Slovakia
  • Language: English
  • Job category: Technical positions
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