Deutsche Telekom IT Solutions Slovakia

Technology

DataPlatformEngineer(PalantirFoundry)(m/f/d)

€24k+ Juh, Košický kraj, Slovakia FULL TIME
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for mid candidates.

The Brief

“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.

Technology
Problems you'll solve

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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