Deutsche Telekom IT Solutions Slovakia
Technology
DataPlatformEngineer(PalantirFoundry)(m/f/d)
Neural analysis suggests this role is
optimal for mid candidates.
“Data Platform Engineer (Palantir Foundry) (m/f/d) at Deutsche Telekom IT Solutions Slovakia. Skills: Data Platform Engineering, Palantir Foundry, PySpark, Data Pipelines. Own production data pipelines end-to-end. Ensure reliability of data pipelines”
Industry & Context.
Problem-solving mindset; Root cause analysis; Troubleshooting
What They're Looking For.
Must Have
Experience with data engineering, Experience with big data ecosystems, Hands-on expertise with PySpark, Hands-on expertise with distributed data processing, Experience working with production data pipelines, Experience troubleshooting production data pipelines, Understanding of data quality, Understanding of monitoring, Understanding of governance, Solid software development skills, Focus on writing clean code, Focus on writing readable code, Focus on writing maintainable code in Python, Experience with testing practices, Experience with unit testing, Experience with integration testing, Experience validating data pipelines, Proficient in version control systems, Proficient in Git, Proficient in collaborative development workflows, Familiar with designing REST APIs, Familiar with working with REST APIs, Commitment to code quality, Commitment to documentation, Commitment to best practices, Problem-solving mindset, Ownership attitude, English – Upper intermediate (B2)
Nice to Have
Experience with Palantir Foundry, Experience with similar platforms, German - Advantage, TypeScript, SQL, Good skills in integrating systems, Good skills in integrating applications, Good understanding of Cloud systems, Good understanding of DevOps concepts, Good understanding of DevOps tooling, Experience with data platform reliability, Experience with DataOps practices, Familiarity with automation, Familiarity with workflow orchestration, Exposure to user-facing data applications, Exposure to analytics tools, Ability to work individually, Ability to work in team, Being self-motivated, Being organized
What You'll Do.
Own production data pipelines end-to-end
Ensure reliability of data pipelines
Ensure performance of data pipelines
Ensure scalability of data pipelines
Optimize data solutions
Develop applications using PySpark
Develop applications using Foundry tools
Process massive datasets efficiently
Champion data quality
Design monitoring frameworks
Design validation frameworks
Guarantee trusted data
Keep platform running smoothly
Implement long-term improvements
Act as first line of support
Help users resolve data issues
Help users resolve access issues
Help users resolve pipeline issues
Drive operational excellence
Conduct root cause analysis
Prevent recurring issues
Collaborate across teams
Shape way we work with data
Contribute to best practices
Contribute to data governance
Contribute to platform usage
How You'll Work.
Team & Collaboration
Collaborate with Foundry admins; Collaborate with engineers; Collaborate with business stakeholders
Process & Methodology
Operational excellence
Full Job 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. 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 dat
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