We are looking for a junior data specialist who wants to grow in Data Engineering, design big data architecture, build ETL processes, and influence the company's IT infrastructure.

In this role, you will be able to participate in data processing and structuring at different stages: from working with databases to implementing applied data projects. The knowledge gained during your training can be applied to practical business tasks.

What you will do:

— Work with Python and SQL languages for data processing and structuring; — Design architecture and process Big Data; — Build ETL processes and pipelines to solve business problems; — Work with databases and modern cloud services (e.g., Yandex Cloud); — Create and implement applied data projects for the company's infrastructure; — Apply tools obtained during specialized training in projects.

Who we are looking for:

We consider candidates who have graduated with a Bachelor's or Specialist degree within the last five years (2021–2026) or are currently graduating. Work experience is not required — some experience in programming, analytics, IT, or related technology fields is also suitable.

It is important that you:

— Are interested in IT and data analysis; — Are ready to complete a specialized online Master's program in Data Engineering; — Have an analytical mindset and proactivity; — Can work in a team and are ready to learn quickly; — Want to build a successful career in IT and grow to Middle and Senior specialist levels.

Will be an advantage:

— Specialized technical, mathematical, or IT education (or studying in the final years); — Basic skills in Python or SQL; — Participation in hackathons, case championships, or project activities; — Internship experience or initial work experience in IT up to two years.

What we offer:

— An opportunity to start a career in Data Engineering and grow to Middle and Senior levels; — Work on practical business tasks and real cases for a strong portfolio; — Double mentoring: support from experienced mentors and managers within the company + a strong academic foundation from professors of the country's leading university; — Flexible schedule and 100% remote work format from any city in Russia.