Hybrid Travel Tech SDE Intern

Expedia Group

Greater London

Híbrido

GBP 32.000 - 40.000

Jornada completa

Hace 4 días
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Ventajas ofrecidas por este puesto de trabajo

Hybrid Work Policy
Travel discounts
Relocation support (if eligible)

Descripción de la vacante

Expedia Group is offering a Global Summer Internship Program in London for Software Development Engineer Interns. You will join a cohort, work on real business priorities, and gain structured onboarding and mentorship from leaders across teams.

You’ll contribute to backend, frontend, or data engineering projects, with exposure to AI/ML-enabled workflows and a strong emphasis on collaboration, learning, and career development in a hybrid work environment.

Formación

  • Must be available to commit to full program dates: 21st June – 27th August 2027.
  • Relocation may be required if outside commuting distance and you will be graduating in the same country as the internship location.
  • Familiarity with at least one programming language (e.g., Java, Python, Kotlin) is helpful.

Responsabilidades

  • Design, develop, and test software components and services under guidance from senior engineers.
  • Write clean, maintainable code with proper unit tests and code reviews.
  • Contribute to API design, data modeling, and system design tasks.
  • Collaborate with peers and mentors to translate requirements into solutions.
  • Apply fundamental data structures and algorithms to improve performance and reliability.
  • Leverage AI/ML-enabled workflows within defined guidance to improve outcomes.

Conocimientos

Programming basics
Analytical thinking

Educación

Undergraduate or Master’s in Computer Science or Information Technology

Descripción del empleo

Expedia Group is offering a Global Summer Internship Program in London for Software Development Engineer Interns. You will join a cohort, work on real business priorities, and gain structured onboarding and mentorship from leaders across teams.

You’ll contribute to backend, frontend, or data engineering projects, with exposure to AI/ML-enabled workflows and a strong emphasis on collaboration, learning, and career development in a hybrid work environment.

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