IBM Internship Data Engineer with Snowflake

Beschreibung:

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 knowledge of SQL and Python
* Understanding of data engineering concepts and ETL/ELT processes
* Interest in Snowflake or cloud-based data platforms
* Ability to collaborate with technical infrastructure teams
* Strong willingness to learn CI/CD, deployment pipelines, and orchestration tools

Preferred Technical And Professional Experience

* Basic knowledge of Cloud services
* Hands-on experience with data pipeline projects in SQL and Python
* Basic knowledge with Snowflake SaaS
* Exposure to code repositories and version control
* Interest in enterprise data architecture and integration