Intermediate Data Engineer designing and building data pipelines for travel industry data management. Collaborating across teams to ensure reliable data for analytics and reporting.
About the role
- 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
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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