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eBay
eBay

Buy, sell, and discover.

Working Student Software Engineering at eBay

RoleEngineering
LevelIntern
LocationAmsterdam
WorkOn-site
TypePart-time
Posted1 day ago
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About the role

At e Bay, we're more than a global ecommerce leader — we’re changing the way the world shops and sells. Our platform empowers millions of buyers and sellers in more than 190 markets around the world. We’re committed to pushing boundaries and leaving our mark as we reinvent the future of ecommerce for enthusiasts.

Our customers are our compass, authenticity thrives, bold ideas are welcome, and everyone can bring their unique selves to work — every day. We're in this together, sustaining the future of our customers, our company, and our planet.

Join a team of passionate thinkers, innovators, and dreamers — and help us connect people and build communities to create economic opportunity for all.

Join our team as a Working Student at e Bay’s Amsterdam office and contribute to building scalable software systems that power our advertising platform. As part of a cross-functional engineering team, you’ll collaborate with product, design, and machine learning partners to develop and improve services that connect buyers and sellers. You will support the design and implementation of ad-tech solutions, work with modern technologies, and help deliver reliable, high-impact features that enhance both user experience and marketplace performance.

Your requirements:

  • Pursuing a Master’s in Computer Science or related fields ideally with a focus on web development

  • Starting date in June/July 2026

  • Experience with designing and developing web applications and APIs using Java

  • Experience working with frontend technologies is a plus (React, Typescript)

  • Proven ability to work independently and make good decisions with minimal direction

  • Strong communication skills (fluent English, both verbal and written)

What we offer:

  • A comfortable working environment in the center of Amsterdam

  • Opportunity to build high-impact products that power the entire e Bay Advertising platform at scale

  • Dynamic team, passion for languages and technology, professionalism and a good sense of humor

  • Gain hands-on experience with cutting-edge agentic AI development tools

  • An international and fast-paced working environment with flat hierarchies and lots of flexibility

  • An attractive remuneration, up to 20 h/week

Additional Details

eBay is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, sexual orientation, gender identity, veteran status, and disability, or other legally protected status. If you have a need that requires accommodation, please contact us at talent@ebay.com. We will make every effort to respond to your request for accommodation as soon as possible. View our accessibility statement to learn more about eBay's commitment to ensuring digital accessibility for people with disabilities.

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Required skills

Java

Web development

API development

Software engineering

Team collaboration

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About eBay

eBay

eBay

Public

eBay Inc. is an American multinational e-commerce company based in San Jose, California, that allows users to buy or view items via retail sales through online marketplaces and websites in 190 markets worldwide.

10,001+

Employees

San Jose

Headquarters

$28.1B

Valuation

Reviews

10 reviews

3.8

10 reviews

Work-life balance

3.2

Compensation

2.8

Culture

4.1

Career

3.0

Management

2.7

72%

Recommend to a friend

Pros

Supportive team culture and colleagues

Good benefits and health coverage

Flexible work arrangements

Cons

Management issues and lack of direction

Limited career advancement opportunities

Compensation below expectations

Salary Ranges

2,735 data points

Mid/L4

Mid/L4 · BUSINESS ANALYTICS 3

3 reports

$166,000

total per year

Base

$134,381

Stock

-

Bonus

-

$166,000

$166,000

Interview experience

4 interviews

Difficulty

3.0

/ 5

Duration

14-28 weeks

Experience

Positive 0%

Neutral 75%

Negative 25%

Interview process

1

Application Review

2

Recruiter Screen

3

Online Assessment

4

Technical Interview

5

Team Matching

6

Offer

Common questions

Coding/Algorithm

Technical Knowledge

Behavioral/STAR

Past Experience