Summer Intern Big Data Platform Engineer

Job Description

We are looking for motivated interns to join our Big Data Team in Peak office for 2 months during this summer. Peak's Big Data Engineering Team works with data at an incredible scale that helps us improve the quality of our products. This is a great opportunity to touch software development, data processing and service operations. As a Big Data Engineering Intern you will work with more senior engineers in building, extending and optimizing performance of existing data pipelines.

What you'll learn during your internship

  • Support the team in designing and building data processing architecture in the cloud
  • Work well as an individual and as part of a team that loves to deploy best practices
  • Learn how to build an automated and scalable data pipeline
  • Being involved in projects and being part of a dynamic environment
  • Participate in weekly planning and review meetings
  • Great attitude towards learning new skills and applying them in projects
  • Develop strong engineering skills and programming fundamentals
  • Working with multiple tasks that need strong analytical and problem-solving skills with an attention to detail

Here's what you'll need

  • Being enrolled in university and currently in your 3rd or 4th year of Computer Science / Computer Engineering or a related field of studies
  • Have a schedule that allows you to work in Peak office for 2 months full-time during summer
  • Ready to use the academic knowledge in a fast-paced, real hands-on environment
  • Have a real passion for software engineering, as demonstrated by previous internships, work experience or projects
  • Have a deep understanding of data structures, in particular how they are implemented and how to apply them to solve problems
  • Prior experience with Python and  Go will be an advantage
  • Some practical experience working on AWS or another cloud provider

  • Hiring process

    You can apply for Summer Intern Big Data Platform Engineer, Java/Go position between January 12th - February 20th. Once you have been selected, you will get a technical assignment through HackerRank to assess your engineering skills.  

    Following your assessments the next steps will be: 

  • Remote interview with HR and Tech
  • Lead Remote final interview

We respect your privacy and will treat your data confidential as part of the recruitment process. If you’d like more details, please read our Statement of Personal Data Protection Law (KVKK) and Consent Letter.

Working at Peak

  • Fast-paced environment with a tight-knit and collaborative culture.
  • Never-ending learning and development opportunities.
  • Relevant conferences abroad to stay up to date with the latest industry trends.
  • Team events and trips.
  • We support your personal and professional development with challenging projects and regular feedback.
  • Full health benefits.