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.

Whether you are looking to sharpen existing skills or start from the ground up, this hands-on program provides the knowledge and practical experience to build intelligent data solutions. Key areas include data integration, data visualization, and data quality.

By the end of the program, you will understand the full lifecycle of data products and be ready to apply your 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

Dive deeper into advanced techniques and real-world applications, and prepare to tackle real-world challenges with confidence.

Requirements

• 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

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

What We Offer

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