Poland
Data Analytics Engineering
Are you eager to gain market-relevant skills and start your journey in Data & Analytics?
Join our Data & Analytics Training Program and learn directly from EPAM experts – professionals shaping the future of data-driven business.
Pricing
Free
Program start
March 2026
Type
Training
Language
English
Duration
30 weeks
Format
Online
Level
Fundamentals
Details
If you’re curious about how data shapes decisions, enjoy problem-solving, and want to turn raw information into actionable insights – this program is for you.
You’ll gain hands-on experience and develop job-ready skills through immersive, project-based learning across three key areas:
- Data Integration – Learn to design, develop, and manage data transformations and migrations across different systems.
- Data Visualization – Transform raw data into clear, engaging dashboards that drive better business decisions.
- Data Quality – Ensure data is accurate, complete, and reliable by validating, testing, and verifying data pipelines.
Upon successful completion of all stages, you’ll be equipped with market-oriented skills you can apply at EPAM or in the broader IT industry.
Data Analytics Engineering
Data Analytics Engineering is about turning raw data into valuable business insights. It includes data collecting, storing, processing, validation and visualization.
What do we offer?
- Industry-recognized training from a global software engineering leader
- 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
- Potential employment opportunities at EPAM upon program completion
Your learning journey
This program includes two engaging, structured stages to guide your development.
Stage 1: Fundamentals (3 months, ~15-20 hours/week)
Build a strong foundation in Data Analytics Engineering.
- Weekly self-study and practice: Learn core concepts, complete practical tasks, and take short tests with weekly deadlines to maintain steady progress.
- Expert feedback: Receive personalized guidance and reviews from mentors every week.
- Interactive sessions: Join live evening Q&A discussions (recordings available).
- Skill checks: Take two brief individual assessments combining theory and live coding.
Successful candidates will proceed to the next stage after a technical interview.
Stage 2: Specialization (4 months, ~20-30 hours/week)
Deepen your expertise with advanced tools and real-world projects.
- Intensive learning: Explore in-depth modules and complete assignments reviewed every two days.
- Ongoing support: Participate in daily Q&A sessions with mentors and peers.
- Skill verification: Demonstrate your progress through assessments and live coding exercises.
Upon completing both stages, you’ll be considered for open roles at EPAM based on your skills and performance.
What is required for training:
- English level B2 (Upper-Intermediate) or higher
- Basic understanding of DBMS theory and SQL
- Familiarity with Python basics
Nice to have:
- A degree in a technical field
- Experience in banking or technical roles
How to get started?
- Register by January 15 and upload your CV. You’ll receive confirmation via email.
- Take the English test (within 5 days, minimum B2 level required).
- Pass the technical test (within 5 days, score ≥70%).
- Attend the general interview (for shortlisted candidates).
- Complete a self-paced preparatory course (link provided after registration).
- Pass the final technical assessment on February 4.
- Get your invitation and begin your learning journey with EPAM!
Check your profile mailbox regularly for all updates and notifications.
What will you learn?
Our program will cover both fundamental and advanced skills in Data Analytics Engineering:
Stage 1: Fundamentals (3 months with ~15 hours/week)
Stage 2: Specialization (4 months with ~30 hours/week)
Important notes
- The program is available to citizens and permanent residents of Poland.
- You must be 18 years or older to apply.
- Program dates may be adjusted – stay updated via email and our website.
- Seats are limited – candidates with the highest results will be enrolled first.
- We maintain a fair and transparent selection process; any cheating will result in disqualification.
- If you’re already participating in another EPAM Campus program or employed at EPAM, please consult your Training Coordinator or Resource Manager before applying.
Useful links
Our graduates about us
“Challenging but rewarding – A graduate’s journey through EPAM Campus”
As a graduate of the Data Analytics Engineering program at EPAM Campus, I can honestly say it’s a dynamic and well-structured course that I highly recommend. The program starts with three months of SQL training and then dives into nearly four intensive months in the Data Lab. At every stage, I had the opportunity to work with experienced and supportive mentors who were always ready to share their expertise and provide guidance.
After completing this program, I feel well-prepared to take the next steps in my data-driven career. I won’t lie, this course is challenging, but that’s what makes it so worthwhile. The experience gave me a solid foundation for professional growth, and I’m sure it will do the same for you. It’s tough but incredibly rewarding, setting you up for success in the world of data.
One tip: don’t procrastinate. :) The schedule is packed with information, so start strong and keep up the momentum. Good luck!
“From Mechanical Engineer to Data Quality Engineer”
This program was a turning point in my journey from Mechanical Engineer to Data Quality Engineer. It equipped me with the essential knowledge and skills to excel in databases, data quality and related data processes. It gave me technical expertise and boosted my confidence to seamlessly step into my new role.
One of the program's standout features was the daily communication in English, which helped me overcome language barriers and adapt quickly to a professional work environment. This has been invaluable during team collaborations and client meetings.
Looking back, I can confidently say that joining this program was one of my best decisions. If I could do it all over again, I wouldn’t hesitate for a moment.