Data Analytics Engineering Trainee

Are you passionate about data and eager to turn raw numbers into meaningful insights that drive real business impact? Join the Data Analytics Engineering Program and take the first step toward a career in data.

This hands-on program equips participants with the knowledge and practical experience to build intelligent data solutions. Key areas include:

• Data Integration
• Data Visualization
• Data Quality

By the end of the program, participants will understand the full lifecycle of data products and be ready to apply their skills to real-world challenges.

Program details

The program includes two stages:

Stage 1: Data Fundamentals

• Duration: 3 months
• Commitment: approximately 15–20 hours per week

Stage 2: Specialization Track

• Duration: up to 4 months
• Commitment: approximately 20–30 hours per week

The specialization stage covers advanced techniques and real-world applications.

What is required for training

• English level: B2 or higher
• Basic knowledge of Relational Database Management System (DBMS) theory
• Understanding of Structured Query Language (SQL)
• Familiarity with Python basics

Nice to have

• Fluency in Polish at C1 (Advanced) level or higher
• Degree from a technical university or other institution with a technical specialization
• Experience in banking and technical spheres

What do we offer?

• Industry-recognized training
• Hands-on practical learning with real-world assignments
• Exposure to emerging technologies, including GenAI and Cloud
• Free access to learning materials and resources
• Personalized mentorship from experienced professionals
• Career advancement: after successful completion of both Fundamentals and Specialization stages, participants may be considered for open positions based on demonstrated skills and available opportunities.