WBG Pioneer - AI Data Engineer Intern

About the Role

This role as a WBG Pioneer - AI Data Engineer Intern at The World Bank Group involves working on designing, developing, and maintaining scalable enterprise data platforms and pipelines using Microsoft Azure and Microsoft Fabric services.

As a data engineer, you will be responsible for developing and maintaining application components and APIs using .NET Core, ASP.NET, C#, Web APIs, and microservices architectures, including APIs that expose or consume data from Dynamics 365 and SharePoint.

You will also be working on developing Lakehouse-based data solutions using Azure Databricks, Microsoft Fabric, Azure Data Lake Storage (ADLS Gen2), and Apache Spark/PySpark.

Key Responsibilities

• Design, develop, and maintain scalable enterprise data platforms and pipelines using Microsoft Azure and Microsoft Fabric services.
• Develop and maintain application components and APIs using .NET Core, ASP.NET, C#, Web APIs, and microservices architectures.
• Develop Lakehouse-based data solutions using Azure Databricks, Microsoft Fabric, Azure Data Lake Storage (ADLS Gen2), and Apache Spark/PySpark.
• Collaborate with cross-functional stakeholders (business, analytics, product, and compliance teams) to understand requirements and translate them into technical solutions.
• Develop strong hands-on experience with SQL, ETL/ELT design, data transformation, and orchestration frameworks.
• Work effectively in diverse, team-based environments and manage multiple priorities within tight deadlines.

Skills & Qualifications

• Proficiency in Python, SQL, and Spark.
• Strong hands-on experience with ETL/ELT design, data transformation, and orchestration frameworks.
• Experience with Microsoft Azure and Microsoft Fabric services.
• Knowledge of .NET Core, ASP.NET, C#, Web APIs, and microservices architectures.
• Experience with Lakehouse-based data solutions using Azure Databricks, Microsoft Fabric, Azure Data Lake Storage (ADLS Gen2), and Apache Spark/PySpark.
• Proficiency in English.
• Currently enrolled in, or in the final year of, postgraduate (master’s/PhD) program in IT, Computer Science, Software Engineering, Information Technology, and Data Science/Analytics.
• 1–3 years of relevant professional experience.

What You'll Learn

This role offers a high-impact learning experience at the heart of global development, where you will gain hands-on experience in a diverse and dynamic environment, contribute fresh perspectives and innovative ideas, and connect with international professionals working to end poverty on a livable planet.

You will have the opportunity to work on designing, developing, and maintaining scalable enterprise data platforms and pipelines, and develop strong hands-on experience with SQL, ETL/ELT design, data transformation, and orchestration frameworks.

Resume Tip

When applying for this role, make sure to highlight your experience with data engineering, data science, and software development, and specifically mention your proficiency in Python, SQL, and Spark.

Also, be sure to emphasize your ability to work effectively in diverse, team-based environments and manage multiple priorities within tight deadlines.