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Data Engineer - Working Student

Nokia Global
Part-time
On-site
Poland
Description

Join Nokia as a Data Engineer - Working Student and immerse yourself in data pipeline management, transformation, and machine learning initiatives critical to our 6G mission. Collaborate with a talented team of Data Scientists and ML Engineers in a hybrid environment, utilizing state-of-the-art GPU technology to enhance 5G systems and improve channel efficiency. This role not only bolsters your technical expertise in data processing and GPU computing but also nurtures your leadership skills in a transformative industry. Be part of a dynamic team that values collaboration, creativity, and impactful contributions to the future of wireless communication. 

Position: Data Engineer - Working Student 
Duration: 12 months (possibility to prolong to the next 12 months) 
Date: 01.09.2025 - 30.08.2026 
Location: Poland (hybrid in Wroclaw) 



Responsibilities

As part of our Team you will:

  • Design and build efficient data pipelines for seamless integration with ML models.  
  • Transform raw data through cleaning, aggregation and enrichment for optimal accuracy and integrity
  • Optimize data processing and storage systems for performance and cost-efficiency, including GPU usage
  • Collaborate with Data Scientists and ML Engineers to enhance workflows and resolve technical challenges
  • Contribute to design and test reviews, ensuring engineering practices meet project standards and objectives 


Qualifications

You have:  

  • Active student status
  • Good English (written and spoken)
  • Proficiency in Python programming language
  • Skills in transforming and enriching data to support machine learning workflows
  • Collaborative mindset to work closely with Data Scientists and ML Engineers

It would be nice if you also had:

  • Knowledge of 5G networks, particularly the physical layer
  • Experience in managing project timelines and deliverables
  • Familiarity with model development and optimization
  • Awareness of GPU programming techniques