Data Engineering | Computer Science Internship: Automation & Scalable Analytics Infrastructure

Introduction

You will join the Advanced Analytics/Data Engineering team within Customer Support, working on our internal data and analytics platform.

The team operates at the intersection of Data Engineering, Infrastructure & platform development, Applied analytics and Machine Learning. Our mission is to enable reliable, scalable, and reusable data solutions that directly support business-critical analytics use cases.

As our data platform grows, we face several key challenges:

• Ensuring consistent and high-quality documentation across rapidly evolving codebases
• Making infrastructure reusable and scalable across multiple analytics teams
• Improving testability and reliability of complex data pipelines
• Supporting fast delivery while maintaining long-term maintainability
• Enabling robust development practices (CI/CD, Infrastructure-as-Code, testing)

This internship contributes directly to solving these challenges in a real production environment.

Your Assignment

How can we make our data platform self-documenting, scalable, testable, and resilient, while keeping development efficient for engineers? As a Data Engineering Intern, you will design and build tooling and solutions that improve the quality, maintainability, and reliability of our data platform.

You will work hands-on with engineers and stakeholders to deliver solutions that are actively used in production by business stakeholders.

Your responsibilities may include:

1. Automated Documentation System

• Design and implement a system that automatically generates and distributes documentation from code and infrastructure
• Ensure documentation is clear, structured, and accessible for both technical and non-technical users
   

2. Infrastructure Standardization & Reusability

• Refactor and modularize infrastructure code to make it reusable across projects
• Introduce standards that improve consistency and maintainability
   

3. Testing Frameworks for Data Infrastructure

• Develop unit and integration testing frameworks for data pipelines and infrastructure
• Improve system robustness and reliability
   

4. Simulation & Resilience Testing

• Build tools to simulate messy or imperfect data scenarios
• Enable testing of edge cases and pipeline resilience
   

5. Infrastructure-as-Code Tooling

• Design tooling to support automated provisioning and configuration of infrastructure
• Improve deployment processes and reproducibility
   

6. Supporting Real Business Use Cases

• Collaborate with stakeholders on short-cycle engineering tasks
• Deliver practical solutions under real business constraints

Your Profile

To be a good match for this internship, you:

• Are a bachelor or master student in Data Engineering, Computer Science, Software Engineering or a related field.
• Have experience with programming (preferably Python).
• Have a basic understanding of Data engineering concepts and Backend systems.
• Have an interest in CI/CD pipelines, testing frameworks and infrastructure-as-Code (e.g., Terraform).
• Can think outside of the box and enjoy solving real engineering challenges.
• Are proactive and have the ability to work independently and take ownership.
• Are comfortable working in a collaborative, stakeholder-driven environment.

Other requirements you need to meet:

• You are enrolled at an educational institute for the entire duration of the internship;

• Attach your cover letter with a clear motivation why you are interested in this internship assignment in particular;

• You need to be located in the Netherlands to perform your internship. In case you are currently living/studying outside of the Netherlands, your CV/motivation letter needs to include the willingness to relocate.

• If you are a non-EU citizen, studying in the Netherlands, your university is willing to sign the documents relevant for doing an internship (i.e., Nuffic agreement).

Inclusion and diversity

ASML is an Equal Opportunity Employer that values and respects the importance of a diverse and inclusive workforce. It is the policy of the company to recruit, hire, train and promote persons in all job titles without regard to race, color, religion, sex, age, national origin, veteran status, disability, sexual orientation, or gender identity. We recognize that inclusion and diversity is a driving force in the success of our company.

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