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
Your responsibilities
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
Your skills and experience
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
More Information
- Job level intern
- Languages Polish, English
