Job Description

Introduction

Are you eager to start your career in data engineering and gain hands-on experience with modern data platforms? We are looking for a motivated Data Engineer Intern to join our team and support building data-driven solutions that power business decisions. This internship offers a unique opportunity to work with experienced professionals, strengthen your data engineering skills, and learn how to manage and transform data at scale using industry-leading tools. You will have access to the latest education, tools and technology, and a limitless career path with the world’s technology leader. Come to IBM and make a global impact! IBM CIC Baltic is a Client Innovation Center located in Vilnius with 300+ professionals working on client-facing or internal projects to deliver state-of-the-art solutions which solves all kinds of business problems in various industries.

In this role, you'll work in one of our IBM Consulting Client Innovation Centers (Delivery Centers), where we deliver deep technical and industry expertise to a wide range of public and private sector clients around the world. Our delivery centers offer our clients locally based skills and technical expertise to drive innovation and adoption of new technology.

Your Role And Responsibilities

During your internship, you can enhance your knowledge and gain professional experience by working on client projects. This role provides an exceptional opportunity to acquire new skills, gain insights into diverse industries, and embrace challenges for your future career.

At IBM, we prioritize continuous learning, skill development, and personal growth within a culture of coaching and mentorship. As an intern, you'll experience this culture and could advance to a junior full-time role based on your results and performance.

What You Will Gain

Hands-on experience with modern data engineering tools and cloud platforms.
Mentorship from experienced data engineers.
Practical skills in building scalable data workflows.
Opportunity to convert to a junior full-time position after the internship.

Required Technical And Professional Expertise

Currently studying (or recently graduated) in Computer Science, Information Technology, Data Engineering, Mathematics, or related field.

Fluent English
Good Python skills
Understanding of data processing, ETL pipelines, and automation
Familiarity with databases, experience in data cleaning, validation, integration
Interest in learning large-scale data processing with Apache Spark / PySpark.
Motivation to work with Databricks and cloud platforms (AWS or Azure).
Communication skills to interact with stakeholders and team members
Critical thinking and problem solving skills to troubleshoot issues and propose solutions
Have initiative and passion to actively seek new knowledge and improve skills

Preferred Technical And Professional Experience

Coursework, personal projects, experience working with Databricks and cloud platforms (AWS or Azure).
Experience in Software Development
Exposure to or interested in LLM-powered solutions