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
Technical Lead for data engineering and reporting in healthcare technology at Dedalus. Shaping innovative software solutions and leading cross - functional technical teams in Australia.
Senior ML Data Engineer working on data pipeline curation for Mobileye's autonomous vehicle dataset. Collaborating across teams to enhance ML engineering and vision model applications.
Data Engineer managing customer datasets to enhance industrial research and development. Responsible for ETL pipelines and data ingestion for the Uncountable Web Platform.
Data Engineer designing and maintaining scalable data solutions on Databricks for clinical trials. Collaborating with teams to overcome data challenges and ensure the smooth logistics of clinical supplies.
Senior Manager leading a team of database engineers to manage CCC's data platform. Overseeing mission - critical applications and collaborating with cross - functional teams in a hybrid environment.
As a Principal Data Architect at Solstice, lead the design and implementation of data architecture solutions. Ensure data integrity, security, and accessibility to meet strategic organizational goals.
Data Platform Specialist overseeing data workflows and enhancing data quality for Stackgini's AI - driven IT solutions. Collaborating with teams to drive improvements and stakeholder support.
Data Engineer designing data pipelines in Python for a major railway industry client. Collaborate with Data Scientists and ensure code quality with agile methodologies.
Senior Data Engineer responsible for building and optimizing data pipelines for banking analytics initiatives. Collaborating with data teams to ensure data quality and readiness for enterprise use.
Senior Data Engineer developing scalable data solutions on Databricks for analytics and operational workloads. Collaborating with cross - functional teams to modernize the data ecosystem.