Job Description
Are you eager to tackle complex data engineering challenges and further develop your skills? We are seeking motivated interns to join our Big Data Team in Peak office for a 2 months summer internship.
At Peak, data is the backbone of our operations - terabytes flowing in and billions of events happening on a daily basis. Our Big Data Engineering Team is responsible for building end-to-end data pipelines and delivering the processed data to the target services so that our Business Intelligence team can enable everyone to generate actionable insights.
As a Big Data Engineering Intern, you will also participate in the team with your work on our Open Source Projects and have the opportunity to distinguish yourself as an open source contributor.
Here are more details about how we work in Big Data Engineer Team.
What you’ll do during your internship
- Support the team in designing and building data processing architecture in the cloud
- Perform effectively both independently and as part of a team that loves to deploy best practices
- Learn how to build an automated and scalable data pipeline
- Involve in ongoing projects and be part of a dynamic environment
- Participate in weekly planning and review meetings
- Develop strong engineering skills and programming fundamentals
- Work with multiple tasks that need strong analytical and problem-solving skills with an attention to detail
You’ll need to
- Be currently enrolled in university 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 2025
- 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
- Great attitude towards learning new skills and applying them in projects
- Prior experience with Python and Go will be an advantage
- Online HR & Tech interview
- Online 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
- Support for your personal and professional development with challenging projects and regular feedback
- Full health benefits