IBM internship Data Engineer

Job Description:

Introduction

A career in IBM Consulting is built on long-term client relationships and close collaboration worldwide. You'll work with leading companies across industries, helping them shape their hybrid cloud and AI journeys. With support from our strategic partners, robust IBM technology, and Red Hat, you'll have the tools to drive meaningful change and accelerate client impact. At IBM Consulting, curiosity fuels success. You'll be encouraged to challenge the norm, explore new ideas, and create innovative solutions that deliver real results. Our culture of growth and empathy focuses on your long-term career development while valuing your unique skills and experiences.

Your Role And Responsibilities

The internship program is offered for a fixed period of 3 months, with the possibility of extending the collaboration based on performance and business needs. During the recruitment process, you may receive a call from our colleagues on the international team (from a Hungarian or Slovak number). Please answer, as the call is related to your application.

Data Engineering Internship consist of development of the Snowflake-based Data Hub by assisting in the setup and integration of non-production environments and ensuring alignment with the organization's infrastructure standards. You will contribute to deployment pipelines and code repositories, and assist in establishing automated CI/CD processes. You will also support the integration of central job control to enable orchestrated ETL/ELT workflows, working closely with infrastructure teams to ensure secure and compliant implementation.

Preferred Education

Master's Degree

Required Technical And Professional Expertise

Basic understanding of Python programming and SQL.

Interest in data engineering, ETL processes or analytics.

Familiarity with concepts such as joins, aggregations, filtering, or basic scripting.

Problem-solving mindset and willingness to learn new technologies.

Good communication skills and ability to work collaboratively in a team environment.

Curiosity, initiative, and eagerness to grow technically and professionally.

Preferred Technical And Professional Experience

Exposure to PySpark, Pandas, or any data-related projects.

Basic understanding of databases or cloud platforms.

Personal, academic, or GitHub projects related to Python, data processing, or automation