Data Engineering Working Student contributing to AI/ML projects in Poland. Gain hands-on experience with data pipelines and modern engineering tools while working flexibly around studies.
Responsibilities
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****
Requirements
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
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
Benefits
Flexible and hybrid working schemes
Well-being programs to support your mental and physical health
Opportunities to join and receive support from Nokia Employee Resource Groups (NERGs)
Employee Growth Solutions to support your personalized career & skills development
Diverse pool of Coaches & Mentors to whom you have easy access
A learning environment which promotes personal growth and professional development - for your role and beyond
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