К содержимому

Data Engineer Intern

Nordeus · Belgrade, Serbia

Грейд
Intern
Формат
Гибрид
Занятость
Полная
Категория
Data/ML
Откликнуться

Прямого контакта в посте нет

Откройте вакансию в Telegram-боте: там весь исходный пост и способ отклика.

Открыть в Telegram

Описание

Data Engineer Intern
Nordeus, Belgrade (hybrid)


Nordeus develops mobile sports games including Top Eleven and Golf Rival, serving hundreds of millions of registered players.

What you will do:

🌸Build large-scale data pipelines processing billions of events each day.
🌸Design and develop a self-service data warehouse and business intelligence platform for game teams.
🌸Design and develop machine learning pipelines that help data scientists build new models from game data.
🌸Apply continuous integration and delivery practices.
🌸Optimize testing, tooling, and data quality.
🌸Collaborate with data engineers, data scientists, business analysts, performance marketing, and product teams.

Requirements:

💦Pursuing or recently completing a degree in computer science, software engineering, or a related field.
💦Understanding of software design principles, object-oriented programming, design patterns, algorithms, and data structures.
💦Coding skills in Python, Java, C#, or similar languages.
💦Knowledge of relational databases.
💦Interest in building data pipelines and working with large-scale data.
💦Ability to work in a hybrid, on-site role based in Belgrade, Serbia.

Culture & Benefits:

☘️Paid full-time internship with benefits and flexibility around faculty obligations.
☘️Mentorship and support from experienced game makers, with guidance on career development.
☘️Collaborative environment built on transparency, trust, and teamwork.
☘️Meals, snacks, beverages, gym access, organized sports activities, ergonomic workstations, and modern technical equipment.
☘️Access to a kids’ playroom, music corner, board games, video games, and the latest consoles.
☘️Opportunity to contribute to games played by millions of users.

Apply

#serbia
  • python
  • java
  • csharp
  • relational_databases
  • data_pipelines
  • data_warehouse
  • machine_learning
  • ci_cd
  • algorithms
  • data_structures

Оценка вакансии

63/100 · удовлетворительно

  • Описание полное
  • Зарплата не указана
  • Компания и проект описаны
  • Контакта нет
  • Стек описан подробно
  • Формат работы понятен
Как считается

Похожие вакансии