IBM is a leading technology company that innovates and transforms industries and societies. We're committed to making the world a better place through the application of technology and expertise. We're seeking highly motivated and talented Data Engineers to join our team as interns. As a Data Scientist Intern at IBM you'll work on real-world projects that drive business outcomes and contribute to the development of AI machine learning and data analytics solutions. You'll have the opportunity to work with a diverse team of experts and develop skills in data science analysis and interpretation. Learning & Growth Opportunities:
* Gain hands-on experience with industry-standard data integration tools such as Informatica (On-Premise and Cloud) and exposure to platforms like AWS Snowflake and Oracle databases.
* Participate in real-world projects involving complex data transformation and integration workflows.
* Receive guidance and mentorship from seasoned data engineers to enhance both technical expertise and professional development.
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.
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 Professional and Technical 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