WBG Pioneer - AI Data Engineer Intern

The WBG Pioneer internship offers undergraduate and postgraduate students a high impact learning experience at the World Bank Group. The AI Data Engineer Intern will gain hands-on experience in data migration, data engineering, and support for generative AI applications within the Procurement team of ITS Fiduciary Operations.

Responsibilities

• Collect data from databases, APIs, cloud storage, files, and other sources.
• Clean and transform raw data by handling missing values, duplicates, incorrect formats, and outliers, and build and maintain ETL/ELT pipelines using Python, SQL, and data-engineering tools.
• Perform data validation and quality checks to ensure accuracy and consistency.
• Work with large datasets using platforms such as Snowflake, Databricks, Spark, or cloud services.
• Create and maintain data tables, schemas, feature datasets, and data documentation.
• Assist with feature engineering for machine-learning models.
• Support vector databases, embeddings, and Retrieval-Augmented Generation pipelines for generative AI applications.
• Collaborate with data engineers, data scientists, ML engineers, and software developers.
• Participate in code reviews, team meetings, testing, and technical documentation.

Requirements

• Candidates must be currently enrolled in, or in the final year of, an undergraduate or postgraduate (master’s/PhD) program in IT, Computer Science, Software Engineering, Information Technology, and Data Science/Analytics.
• Candidates must have 1–6 years of relevant professional experience.
• Demonstrated interest in development work and the World Bank Group’s mission.
• Strong analytical, research, and problem-solving skills.
• Proficiency in English; additional languages may be required depending on the role.
• Technical Skills Needed: Python, SQL, Git, databases, ETL/ELT concepts, APIs, cloud platforms, basic machine learning, and data visualization.
• Professional Skills Needed: Problem-solving, communication, teamwork, attention to detail, willingness to learn, and the ability to clearly document work.

Skills

• Python
• SQL
• Git
• Databases
• ETL
• ELT concepts
• APIs
• Cloud Platforms
• Basic machine learning
• Data Visualization
• Data Migration
• Data Engineering
• Problem Solving
• Research Skills
• Technical Documentation Production

Languages

English