Data Engineer internship

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

ETL Development & Data Integration: Support the design, development, and maintenance of data integration workflows using ETL (Extract, Transform, Load) tools and methodologies. Assist in the migration of ETL processes from on-premise infrastructure to cloud-based platforms.

• Data Quality Assurance: Contribute to data cleansing, validation, and verification activities to ensure data accuracy and integrity. Participate in testing workflows post-migration to confirm successful deployment.
• Cross-Functional Collaboration: Work collaboratively with various teams across the organization to support data-related initiatives.
• Process Documentation: Help document data integration processes, logic, test outcomes, and improvement suggestions to ensure knowledge sharing and process transparency.
  
  

Required Technical And Professional Expertise

• Currently pursuing or recently completed a degree in Computer Science or a related field.
• Solid understanding of SQL and Python—strong analytical and algorithmic thinking is highly valued.
• Familiarity with database structures and design principles.
• Eagerness to learn and grow within the field of data engineering and data integration.
• Basic understanding of data modeling concepts such as normalization.
• Strong problem-solving skills, attention to detail, and enthusiasm for working with data.
• Effective communication and teamwork skills.
• Fluent English, nice to have: French, German