Data Analytics Engineering Internship

Your responsibilities, How does this internship prepare you for success?, , At EPAM, we are committed to developing future data professionals. Here’s what you will gain:, • Real-world experience: working on data-driven projects involving ETL pipelines, dashboards, data cleaning and more., • Individual learning paths: depending on your current academic course and knowledge, we’ll adapt your program, offering tasks of varying complexity., • Mentorship: collaborating with experienced data engineers, analysts, and visualization experts., • Practical tools & technologies: gain hands-on experience with tools like SQL, Power BI, Python, Git, ETL platforms, *Cloud environments, *Databricks for scalable data processing, and introductory AI techniques., • Project-based learning: applying your skills in end-to-end project simulations based on business cases., • Hybrid work environment: balance collaboration at the office with flexible remote workdays., • Out-of-Charge Internship: learn without any cost — we invest in your potential!, , What will you learn?, , Upon successful selection, you'll have the opportunity to develop essential project data skills. Depending on your knowledge, you will engage in activities with varying levels of difficulty:, , Data Base / Data Warehouse Design and ETL Development, • Working with databases and data warehouses, • Learning the best practices for data modeling, SQL optimization, • Building and optimizing ETL processes and data pipelines, • Handling data quality checks using Python, • *Running ETL pipelines in cloud environments, • *Working with Databricks for data exploration and cleaning, , Data Visualization techniques, • Designing dashboards and reports using Power BI, • Understanding key visualization best practices, , Testing & Validation, • Writing SQL validation scripts, • Implementing data quality checks and automations, • Working with DQ frameworks, • *Using an AI model to detect outliers or duplicates in data automatically, applying Python libraries, , You’ll also develop essential project skills including:, • Collaborating in Agile/Scrum environments, • Managing version control with Git, • Presenting project outcomes, • Participating in code/data review processes with your mentor

Strong understanding of SQL/DB and Python, Introductory experience with Power BI/Tableau, ETL tools, Foundational knowledge of database systems including data warehouses, OLAP/OLTP, A strong interest in data fields (integration, visualization, or quality), Git fundamentals (experience with version control), English proficiency (minimum B2 level to communicate effectively)

Optional, Understanding of data quality principles or BI report design practices, Familiarity with Cloud technologies

What we offer, Industry-focused education with EPAM, a leading software engineering company, Intensive, hands-on learning through numerous practical assignments, Free access to top-notch educational materials and resources, Regular guidance from seasoned mentors throughout your advanced training, Deep dive into your specialization and emerging technologies like GenAI and Cloud, Opportunity to join the EPAM team upon successful completion of all stages

additional-module

How to get started?, 1. Register by May 11 and complete all required fields, including the “Additional information” section, where you should briefly describe your motivation for applying and your expectations for the internship., , 2. Take the English Test within 5 days of registration – B2 level or higher is required., , 3. Pass the Technical Test available in your account's "My enrollments" section. You should take it within 5 days after registration and reach a minimum score of 70%., , 4. Join a Phone Interview with our recruiter., , 5. Complete an Online Technical Interview with our expert., , 6. Receive an invitation to the internship. We will inform you of the enrollment results and share further instructions for your learning journey., , After you apply, please check your inbox (and spam folder) for the next steps.

additional-module

Important notice – Internship details you should know:, This internship is open exclusively to individuals based in Poland., Due to limited availability, enrollment will be based on the order of applications and assessment results., Please note that the internship timeline and conditions may be subject to change, so stay updated on program details., EPAM does not cover visa or work permit costs for interns who require them by law., Campus Portal participants and current EPAM employees are not eligible. For available positions, please contact your manager.

EPAM Systems (Poland) sp. z o.o., EPAM is a leading global provider of digital platform engineering and development services. We are committed to having a positive impact on our customers, our employees, and our communities. We embrace a dynamic and inclusive culture. Here you will collaborate with multi-national teams, contribute to a myriad of innovative projects that deliver the most creative and cutting-edge solutions, and have an opportunity to continuously learn and grow. No matter where you are located, you will join a dedicated, creative, and diverse community that will help you discover your fullest potential

About the project

This unpaid, part-time internship allows you to complete an individual project based on a realistic data challenge. You’ll design and build an end-to-end data solution, gain hands-on experience with industry-relevant tools and create work you can confidently showcase in future job applications, interviews, or academic projects.

• Program dates: July 1 – August 31, 2026

• Commitment: Part-time (20 hours per week)

• Format: Unpaid, hybrid (1 day in EPAM Kraków office, 4 days remote)

• Who should apply? Full-time students from Kraków and candidates from nearby locations who are about to graduate in 2026-2027.

Make this summer count – apply now!

Your responsibilities

How does this internship prepare you for success?

At EPAM, we are committed to developing future data professionals. Here’s what you will gain:

• Real-world experience: working on data-driven projects involving ETL pipelines, dashboards, data cleaning and more.

• Individual learning paths: depending on your current academic course and knowledge, we’ll adapt your program, offering tasks of varying complexity.

• Mentorship: collaborating with experienced data engineers, analysts, and visualization experts.

• Practical tools & technologies: gain hands-on experience with tools like SQL, Power BI, Python, Git, ETL platforms, *Cloud environments, *Databricks for scalable data processing, and introductory AI techniques.

• Project-based learning: applying your skills in end-to-end project simulations based on business cases.

• Hybrid work environment: balance collaboration at the office with flexible remote workdays.

• Out-of-Charge Internship: learn without any cost — we invest in your potential!

What will you learn?

Upon successful selection, you'll have the opportunity to develop essential project data skills. Depending on your knowledge, you will engage in activities with varying levels of difficulty:

Data Base / Data Warehouse Design and ETL Development

• Working with databases and data warehouses

• Learning the best practices for data modeling, SQL optimization

• Building and optimizing ETL processes and data pipelines

• Handling data quality checks using Python

• *Running ETL pipelines in cloud environments

• *Working with Databricks for data exploration and cleaning

Data Visualization techniques

• Designing dashboards and reports using Power BI

• Understanding key visualization best practices

Testing & Validation

• Writing SQL validation scripts

• Implementing data quality checks and automations

• Working with DQ frameworks

• *Using an AI model to detect outliers or duplicates in data automatically, applying Python libraries

You’ll also develop essential project skills including:

• Collaborating in Agile/Scrum environments

• Managing version control with Git

• Presenting project outcomes

• Participating in code/data review processes with your mentor

What we offer

• Industry-focused education with EPAM, a leading software engineering company
• Intensive, hands-on learning through numerous practical assignments
• Free access to top-notch educational materials and resources
• Regular guidance from seasoned mentors throughout your advanced training
• Deep dive into your specialization and emerging technologies like GenAI and Cloud
• Opportunity to join the EPAM team upon successful completion of all stages

How to get started?

1. Register by May 11 and complete all required fields, including the “Additional information” section, where you should briefly describe your motivation for applying and your expectations for the internship.

2. Take the English Test within 5 days of registration – B2 level or higher is required.

3. Pass the Technical Test available in your account's "My enrollments" section. You should take it within 5 days after registration and reach a minimum score of 70%.

4. Join a Phone Interview with our recruiter.

5. Complete an Online Technical Interview with our expert.

6. Receive an invitation to the internship. We will inform you of the enrollment results and share further instructions for your learning journey.

After you apply, please check your inbox (and spam folder) for the next steps.

additional-module

How to get started?, 1. Register by May 11 and complete all required fields, including the “Additional information” section, where you should briefly describe your motivation for applying and your expectations for the internship., , 2. Take the English Test within 5 days of registration – B2 level or higher is required., , 3. Pass the Technical Test available in your account's "My enrollments" section. You should take it within 5 days after registration and reach a minimum score of 70%., , 4. Join a Phone Interview with our recruiter., , 5. Complete an Online Technical Interview with our expert., , 6. Receive an invitation to the internship. We will inform you of the enrollment results and share further instructions for your learning journey., , After you apply, please check your inbox (and spam folder) for the next steps.

additional-module

Important notice – Internship details you should know:, This internship is open exclusively to individuals based in Poland., Due to limited availability, enrollment will be based on the order of applications and assessment results., Please note that the internship timeline and conditions may be subject to change, so stay updated on program details., EPAM does not cover visa or work permit costs for interns who require them by law., Campus Portal participants and current EPAM employees are not eligible. For available positions, please contact your manager.

About the project

This unpaid, part-time internship allows you to complete an individual project based on a realistic data challenge. You’ll design and build an end-to-end data solution, gain hands-on experience with industry-relevant tools and create work you can confidently showcase in future job applications, interviews, or academic projects.

• Program dates: July 1 – August 31, 2026

• Commitment: Part-time (20 hours per week)

• Format: Unpaid, hybrid (1 day in EPAM Kraków office, 4 days remote)

• Who should apply? Full-time students from Kraków and candidates from nearby locations who are about to graduate in 2026-2027.

Make this summer count – apply now!

Your responsibilities

How does this internship prepare you for success?

At EPAM, we are committed to developing future data professionals. Here’s what you will gain:

• Real-world experience: working on data-driven projects involving ETL pipelines, dashboards, data cleaning and more.

• Individual learning paths: depending on your current academic course and knowledge, we’ll adapt your program, offering tasks of varying complexity.

• Mentorship: collaborating with experienced data engineers, analysts, and visualization experts.

• Practical tools & technologies: gain hands-on experience with tools like SQL, Power BI, Python, Git, ETL platforms, *Cloud environments, *Databricks for scalable data processing, and introductory AI techniques.

• Project-based learning: applying your skills in end-to-end project simulations based on business cases.

• Hybrid work environment: balance collaboration at the office with flexible remote workdays.

• Out-of-Charge Internship: learn without any cost — we invest in your potential!

What will you learn?

Upon successful selection, you'll have the opportunity to develop essential project data skills. Depending on your knowledge, you will engage in activities with varying levels of difficulty:

Data Base / Data Warehouse Design and ETL Development

• Working with databases and data warehouses

• Learning the best practices for data modeling, SQL optimization

• Building and optimizing ETL processes and data pipelines

• Handling data quality checks using Python

• *Running ETL pipelines in cloud environments

• *Working with Databricks for data exploration and cleaning

Data Visualization techniques

• Designing dashboards and reports using Power BI

• Understanding key visualization best practices

Testing & Validation

• Writing SQL validation scripts

• Implementing data quality checks and automations

• Working with DQ frameworks

• *Using an AI model to detect outliers or duplicates in data automatically, applying Python libraries

You’ll also develop essential project skills including:

• Collaborating in Agile/Scrum environments

• Managing version control with Git

• Presenting project outcomes

• Participating in code/data review processes with your mentor

How to get started?

1. Register by May 11 and complete all required fields, including the “Additional information” section, where you should briefly describe your motivation for applying and your expectations for the internship.

2. Take the English Test within 5 days of registration – B2 level or higher is required.

3. Pass the Technical Test available in your account's "My enrollments" section. You should take it within 5 days after registration and reach a minimum score of 70%.

4. Join a Phone Interview with our recruiter.

5. Complete an Online Technical Interview with our expert.

6. Receive an invitation to the internship. We will inform you of the enrollment results and share further instructions for your learning journey.

After you apply, please check your inbox (and spam folder) for the next steps.

Important notice – Internship details you should know:

• This internship is open exclusively to individuals based in Poland.
• Due to limited availability, enrollment will be based on the order of applications and assessment results.
• Please note that the internship timeline and conditions may be subject to change, so stay updated on program details.
• EPAM does not cover visa or work permit costs for interns who require them by law.
• Campus Portal participants and current EPAM employees are not eligible. For available positions, please contact your manager.

additional-module

How to get started?, 1. Register by May 11 and complete all required fields, including the “Additional information” section, where you should briefly describe your motivation for applying and your expectations for the internship., , 2. Take the English Test within 5 days of registration – B2 level or higher is required., , 3. Pass the Technical Test available in your account's "My enrollments" section. You should take it within 5 days after registration and reach a minimum score of 70%., , 4. Join a Phone Interview with our recruiter., , 5. Complete an Online Technical Interview with our expert., , 6. Receive an invitation to the internship. We will inform you of the enrollment results and share further instructions for your learning journey., , After you apply, please check your inbox (and spam folder) for the next steps.

additional-module

Important notice – Internship details you should know:, This internship is open exclusively to individuals based in Poland., Due to limited availability, enrollment will be based on the order of applications and assessment results., Please note that the internship timeline and conditions may be subject to change, so stay updated on program details., EPAM does not cover visa or work permit costs for interns who require them by law., Campus Portal participants and current EPAM employees are not eligible. For available positions, please contact your manager.

EPAM Systems (Poland) sp. z o.o., EPAM is a leading global provider of digital platform engineering and development services. We are committed to having a positive impact on our customers, our employees, and our communities. We embrace a dynamic and inclusive culture. Here you will collaborate with multi-national teams, contribute to a myriad of innovative projects that deliver the most creative and cutting-edge solutions, and have an opportunity to continuously learn and grow. No matter where you are located, you will join a dedicated, creative, and diverse community that will help you discover your fullest potential

About the project

This unpaid, part-time internship allows you to complete an individual project based on a realistic data challenge. You’ll design and build an end-to-end data solution, gain hands-on experience with industry-relevant tools and create work you can confidently showcase in future job applications, interviews, or academic projects.

• Program dates: July 1 – August 31, 2026

• Commitment: Part-time (20 hours per week)

• Format: Unpaid, hybrid (1 day in EPAM Kraków office, 4 days remote)

• Who should apply? Full-time students from Kraków and candidates from nearby locations who are about to graduate in 2026-2027.

Make this summer count – apply now!

Your responsibilities

How does this internship prepare you for success?

At EPAM, we are committed to developing future data professionals. Here’s what you will gain:

• Real-world experience: working on data-driven projects involving ETL pipelines, dashboards, data cleaning and more.

• Individual learning paths: depending on your current academic course and knowledge, we’ll adapt your program, offering tasks of varying complexity.

• Mentorship: collaborating with experienced data engineers, analysts, and visualization experts.

• Practical tools & technologies: gain hands-on experience with tools like SQL, Power BI, Python, Git, ETL platforms, *Cloud environments, *Databricks for scalable data processing, and introductory AI techniques.

• Project-based learning: applying your skills in end-to-end project simulations based on business cases.

• Hybrid work environment: balance collaboration at the office with flexible remote workdays.

• Out-of-Charge Internship: learn without any cost — we invest in your potential!

What will you learn?

Upon successful selection, you'll have the opportunity to develop essential project data skills. Depending on your knowledge, you will engage in activities with varying levels of difficulty:

Data Base / Data Warehouse Design and ETL Development

• Working with databases and data warehouses

• Learning the best practices for data modeling, SQL optimization

• Building and optimizing ETL processes and data pipelines

• Handling data quality checks using Python

• *Running ETL pipelines in cloud environments

• *Working with Databricks for data exploration and cleaning

Data Visualization techniques

• Designing dashboards and reports using Power BI

• Understanding key visualization best practices

Testing & Validation

• Writing SQL validation scripts

• Implementing data quality checks and automations

• Working with DQ frameworks

• *Using an AI model to detect outliers or duplicates in data automatically, applying Python libraries

You’ll also develop essential project skills including:

• Collaborating in Agile/Scrum environments

• Managing version control with Git

• Presenting project outcomes

• Participating in code/data review processes with your mentor

What we offer

• Industry-focused education with EPAM, a leading software engineering company
• Intensive, hands-on learning through numerous practical assignments
• Free access to top-notch educational materials and resources
• Regular guidance from seasoned mentors throughout your advanced training
• Deep dive into your specialization and emerging technologies like GenAI and Cloud
• Opportunity to join the EPAM team upon successful completion of all stages

How to get started?

1. Register by May 11 and complete all required fields, including the “Additional information” section, where you should briefly describe your motivation for applying and your expectations for the internship.

2. Take the English Test within 5 days of registration – B2 level or higher is required.

3. Pass the Technical Test available in your account's "My enrollments" section. You should take it within 5 days after registration and reach a minimum score of 70%.

4. Join a Phone Interview with our recruiter.

5. Complete an Online Technical Interview with our expert.

6. Receive an invitation to the internship. We will inform you of the enrollment results and share further instructions for your learning journey.

After you apply, please check your inbox (and spam folder) for the next steps.