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Data Analytics Engineering

Are you ready to turn raw data into powerful business insights? Join our intensive, expert-led training program designed specifically for aspiring data professionals. Master the tools, learn from global engineering leaders, and kickstart your tech career.
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24_European_lady.jpg
Price
Free
Program start
October
Learning type
Facilitated
Language
English
Duration
29 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.

No matter where your data interests lie, we’ve got you covered in three core pillars:

  1. Data Integration - Learn how to move, transform, and manage complex data pipelines.
  2. Data Visualization - Turn messy numbers into stunning, interactive dashboards that drive real business decisions.
  3. Data Quality - Become the line of defense. Learn to test, validate, and ensure data can be trusted.

After successfully completing all program stages, you will gain market-oriented skills that you may further apply at EPAM or elsewhere in the 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.

More about this skill
direction
Why choose this program?
  1. EPAM Credentials: Learn from a global software engineering leader.
  2. Real-World Ready: No boring theory. You’ll work on practical, real-world assignments.
  3. Cutting-Edge Tech: Get hands-on experience with GenAI and Cloud tech.
  4. 1:1 Mentorship: Access personalized feedback from seasoned data professionals.
  5. Potential Career Opportunities at EPAM upon program completion.
Training process

Stage 1: Fundamentals (3 months)

Commitment: ~15-20 hours/week

  1. Learn & Practice: Weekly self-paced modules, hands-on tasks, and quick tests.
  2. Expert Feedback: Weekly assignment reviews from your dedicated mentor.
  3. Live Q&As: Evening community meetups to unblock issues (recordings provided).
  4. Gatekeeper: Pass 2 short assessments + a technical interview to unlock Stage 2.


Stage 2: Specialization (4 months)

Commitment: ~20-30 hours/week

  1. Deep Dive: Advanced materials with code reviews every 48 hours.
  2. Daily Support: Daily group syncs with peers and mentors.
  3. The Reward: Graduate and get fast-tracked for open roles at EPAM.

Upon successful completion of both fundamentals and specialization stages, we will consider you for open positions based on your skills and available opportunities at EPAM.

What is required for training:
training-is-for-you

General requirements:

  1. The program is available to citizens and permanent residents of Poland.
  2. Second-to-last or final year university students and recent graduates
  3. Individuals aged 18 years and older

Skills requirements:

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

Nice to have:

  1. Fluency in Polish of C1 (Advanced) level and higher
  2. Degree from a technical university or other educational institution with a technical specialization
  3. Experience in banking and technical spheres
How to get started?
  1. Registration: Fill out the form and attach your CV.
  2. English Test (within 3 days): Complete the quick B2 assessment in your profile.
  3. Tech Assessment (within 5 days): Score 60%+ on the basic tech quiz (preparation materials will be shared with you after registration is completed).
  4. AI Chat: Shortlisted? You'll get an invite to have a quick chat with our AI assistant.
  5. Preparation Course: Start your recommended, self-paced warm-up course.
  6. Final Exam (September 16): Pass the online final technical assessment.
  7. Get Invited! Look out for your official acceptance email 1-2 weeks later.

Please check your profile's mailbox regularly to ensure you receive all important 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)
Good to know before you apply:
  1. Keep an Eye on Dates: Timelines, assessments, and start dates can sometimes shift. We’ll update this page and ping your inbox if anything changes.
  2. Designed for Beginners: This program is built from the ground up for IT newcomers. Already have production experience? Skip the training and check out our Careers Page for direct openings!
  3. Fair Play Only: We use advanced detection to ensure a level playing field. Any form of cheating or plagiarism will result in automatic disqualification. Let's keep it fair!
  4. Already at EPAM? If you are currently enrolled in another EPAM Campus program or are already an EPAM employee, please give your Training Coordinator or Resource Manager a heads-up before hitting apply.
  5. Because this program offers high-level mentorship and real employment opportunities, seats are limited and highly competitive.
  6. Please note: Scoring a passing grade on the initial tests is the baseline, but it doesn't automatically guarantee an interview or an invite to the final stage. We prioritize candidates with the highest overall assessment scores. Give it your absolute best shot!
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