Hungary
Data Analytics Engineering
Striving to gain market-oriented knowledge and skills to jumpstart your career in Data & Analytics? RSubscribe to this program and get notified when the registration opens.
Price
Free
Program start
Planned, December
Type
Training
Language
English
Duration
40 weeks
Format
Online
Level
Fundamentals
Details
If you are interested in creating data products and exploring the power of data to turn raw information into valuable insights for business growth, then this expert-led program is for you.
Join us to build or expand your skills through immersive, hands-on learning in three core areas:
- Data Integration. Master the art of developing and managing diverse data transformations and migrations.
- Data Visualization. Discover how to transform raw data into meaningful insights and present them through clear, engaging dashboards for better decision-making.
- Data Quality. Learn to ensure data is trustworthy, complete and accurate by testing the work of other data engineers, performing validations and re-creating logic to confirm it functions as expected.
After successfully completing all program stages, you will gain market-oriented soft and hard skills, which you may further apply at EPAM or elsewhere in the IT industry.
Registration is planned to open in October-November 2026
Planned start date: 1st of December
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-based education. As a leading software engineering company, we will help you explore emerging technologies and best practices that the market demands.
- Top-notch learning materials. Our Data & Analytics specialists with extensive project experience have designed and tested the educational content in numerous training runs.
- Practice-oriented approach. This comprehensive program focuses on providing you with hands-on experience and practical application of the concepts learned.
- Deep dive into the specialization. Our graduates become highly skilled specialists ready to face complex technical challenges and work with the world's leading clients.
- Support from experienced mentors. We will guide you at all training stages, covering your open questions and sharing feedback on assigned tasks.
- Career advancement. Upon successful completion of both fundamentals and specialization stages, we will consider you for open positions based on your demonstrated skills and available opportunities at EPAM.
Training process
The program is designed to guide you through two engaging stages:
Stage 1: Fundamentals (3 months with ~15-20 hours per week)
At this stage, you'll build a strong foundation in Data Analytics Engineering. Here's what to expect:
- Weekly learning. Explore self-study materials, then practice through tasks and tests. Each assignment will come with a one-week deadline, helping you make steady progress.
- Guidance from mentors. Submit your practical assignments for feedback and approval from experts on a weekly basis.
- Q&A sessions. Join weekly evening meetings to discuss your questions and gain professional insights. Recordings will be available.
- Skill assessments. Participate in 2 short individual assessments, including theoretical reviews and live coding exercises.
Perform well to pass the technical interview and advance to the next level.
Stage 2: Specialization (4 months with ~20-30 hours per week)
This stage is all about taking your skills to the advanced level with a more intensive approach:
- Daily learning. Master in-depth materials and complete new practical assignments with further review every two days.
- Ongoing support. Attend daily group Q&A sessions with peers and mentors for real-time insights.
- Skill assessments. Participate in short individual assessments after each block, including theoretical reviews and live coding exercises.
Upon successful completion of both fundamentals and specialization stages, we will consider you for open positions based on your demonstrated skills and available opportunities at EPAM.
What is required for training:
Profile requirements:
- Citizens of Hungary and permanent residents who are eligible to work in this country
- Second-to-last or final year university students and recent graduates
- Individuals aged 18 years and older
Skills requirements:
- English level from B2 (Upper-Intermediate) and 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 Hungarian at the C1 (Advanced) level and higher
- Degree from a technical university or other educational institution with a technical specialization
- Experience in banking and technical spheres
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 ~25 hours/week)
Useful links
Our graduates about us
“I am very grateful that I had the opportunity to learn Data Analytics Engineering at EPAM Campus.”
I am very grateful that I had the opportunity to learn Data Analytics Engineering at EPAM Campus. It was a challanging experience and a lot of work, but the mentors were very supportive and helped me throughout the course to achieve the final goal. We gained a strong knowledge in Data Engineering and I hope I can grow more in the future at EPAM.
Reka Kohegyi
Junior Software Engineer
“It's a great starting point for those interested in a career in this field.”
The Data Analytics Engineering course provided practical insights into key concepts for data manipulation, analysis and interpretation. The tasks were engaging and challenging, and the mentors' feedback was invaluable. It's a great starting point for those interested in a career in this field.
Yevgenia Petrosyan
Data Quality Engineer
“It is challenging, but the rewards are immense. ”
For all data enthusiasts eager to deepen their understanding of both theory and practical skills, this course is the perfect choice. Under the guidance of industry expert mentors, I gained hands-on experience with the industry's leading tools. This is the opportunity I’ve been waiting for and a journey I’ve enjoyed.
Andre Tahmasyan
Junior Software Engineer
“If you're looking for opportunities, you're in the right place.”
The Data Analytics Engineering program provided a level of training that went beyond traditional learning. It wasn’t just about learning tools and techniques but about gaining a deep understanding of how to apply them in real-world situations. Great thanks to the incredibly friendly and helpful mentors for their priceless support. With the skills and knowledge gained, I'm excited to take on new challenges and make an impact in the world of data.
Stepan Gasparyan
Junior Software Engineer
“It's a transformative learning experience with an amazing community cheering you on. ”
I highly recommend this program to anyone interested in data analytics engineering. It offers valuable opportunities to learn about new technologies and enhance problem-solving skills through real-world scenarios. The supportive mentoring team fosters independent thinking and empowers us to find unique solutions. It's a transformative learning experience with an amazing community cheering you on.
Lilit Abrahamyan
Software Engineer
“I learned to explain my thought process step-by-step while coding and DAE skills.”
During the course, I appreciated the fast growth in coding skills and my mentors' feedback. They always gave me detailed code reviews during one-on-one calls. I expected to get better at coding in the data analytics domain. The course exceeded my expectations by giving me confidence in my ability to code, even under pressure. I learned to explain my thought process step-by-step while coding and DAE skills. I completed the course while working full-time, so the pace was a bit fast for me. But it was still manageable while completing the tasks and exams at night. The structure was a bit lopsided in the way that the first three months didn't include one-on-one mentoring opportunities, only the second part. Overall, I would recommend the course to anyone who enjoys gaining thorough knowledge about a field instead of remaining on the surface level, as well as anyone who would want to access several different and high-value types of role opportunities going forward in the IT job market.
Geza Bankovics
Junior Software engineer
Please read this info before registration
- At the time of application, applicant has to live and be eligible to work (full-time position) in Hungary.
- The program start date may change, so the selection period may be adjusted accordingly. Please regularly check for updates on this page and via email.
- Active participants of ЕРАМ Educational programs and employees of EPAM Systems are not allowed to register for the training. Feel free to contact your Training Coordinator or Resource Manager regarding other opportunities.
- Considering the limited number of program slots, the applications order and selection results will be decisive factors for being enrolled.
- After completing this program, high-performing candidates may be offered the opportunity to continue their learning according to their level, skills, and available opportunities at EPAM.
Take your chance to dive into the IT world with a leading international IT company – apply now!