Job Description

Working Student is a long-term paid internship, that allows you to kickstart your fabulous journey in the IT world. As our Trainee you can have experience working in such areas that correspond to full-time jobs. The internship usually lasts from 6 to 24 months. We are open to flexible working hours so that you can reconcile working with us with your studies. #OpenToYou.

As a Working Student in Data Engineering, you will contribute to designing, building, and maintaining data pipelines and storage systems that support AI/ML workflows. You will work on practical tasks such as data preparation, pipeline development, and performance monitoring, gaining hands-on experience with modern data engineering tools and practices. This role offers an opportunity to learn and apply software development lifecycle (SDLC) principles in real-world AI/ML projects.

Location: Poland, Wroclaw

As part of our team, you will:

• Assist in building and maintaining data pipelines for batch, ETL, and real-time processing.
• Support optimization of data processing and storage systems
• Participate in data transformation, enrichment, and integration workflows
• Help monitor data quality, pipeline performance, and model metrics
• Contribute to technical documentation and testing activities
• Collaborate with team members to ensure data readiness for AI/ML models
• Learn and apply best practices in software engineering and DevOps
  
  

Must-Have:

• Active student status at minimum one year
• Knowledge of Python programming
• Understanding of SQL and relational databases
• Familiarity with data analysis libraries (e.g., Pandas)
• Interest in data engineering principles and ETL processes
• Willingness to learn workflow orchestration tools (e.g., Airflow, Kubeflow).
• Ability to work independently on assigned tasks and communicate effectively

It would be nice if you also had:

• Exposure to AI/ML concepts and frameworks (e.g., scikit-learn, TensorFlow)
• Experience with version control (Git) and basic software engineering practices
• Familiarity with cloud platforms (AWS, Azure, GCP)
• Previous academic or project experience in data processing or analytics

Advancing connectivity to secure a brighter world.

Nokia is a global leader in connectivity for the AI era. With expertise across fixed, mobile and transport networks, powered by the innovation of Nokia Bell Labs, we’re advancing connectivity to secure a brighter world.

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Our recruitment process

We act inclusively and respect the uniqueness of people. Our employment decisions are made regardless of race, color, national or ethnic origin, religion, gender, sexual orientation, gender identity or expression, age, marital status, disability, protected veteran status or other characteristics protected by law. We are committed to a culture of inclusion built upon our core value of respect.

If you’re interested in this role but don’t meet every listed requirement, we still encourage you to apply. Unique backgrounds, perspectives, and experiences enrich our teams, and you may be just the right candidate for this or another opportunity.

The length of the recruitment process may vary depending on the specific role's requirements. We strive to ensure a smooth and inclusive experience for all candidates. Discover more about the recruitment process at Nokia