M.Video** is the first multi-category marketplace in Russia with its own developed retail network and a network of partner pickup points and parcel lockers. The company combines a strong brand with over 30 years of history, a large-scale offline presence, and a modern digital platform. M.Video's IT team develops products and services for omnichannel retail: from the website, mobile app, and customer services to order management systems, warehouses, logistics, and internal processes. A modern technology stack helps the business grow, automate operations, and create a seamless customer experience across the country.

Big Data Office is M.Video's center of competence for data and analytics, Data Science, and ML. The company develops a data platform for analytical reports, sales funnel analysis, sales and procurement planning, advertising campaigns, and other business tasks. ML models are actively used in marketing, online sales, logistics, finance, and HR processes.

Tech Stack: Airflow, Spark, SQL, NoSQL, Greenplum, ClickHouse, DLH, Python.

WITH US, YOU WILL:

• assist in the development and adaptation of ETL processes (Airflow, Spark);
• work with databases (SQL, NoSQL) and data warehouses (Greenplum, ClickHouse, DLH);
• participate in the development and optimization of a data processing framework in Python;
• document architecture and processes;
• work with the data catalog;
• participate in building data models.

WE VALUE:

• basic SQL knowledge and database experience;
• understanding of data handling principles and ETL processes;
• basic Python knowledge (data processing libraries and core constructs);
• attention to detail and an analytical mindset;
• commitment to the cause, willingness to learn, grow, and work in a team;
• for the internship period from August 2026 to January 2027 — also being a 3rd-4th year bachelor's or 1st-2nd year master's student in an IT specialty from the Ministry of Digital Development's list;
• willingness to work at least 20 hours per week.

WHEN YOU ARE WITH US:

• you gain experience working with real ETL processes, data warehouses, and data processing pipelines;
• you can witness the company's transformation from a retail chain to a marketplace and participate in it;
• you work in a friendly and experienced team ready to invest in the development of an intern who wants to become a data engineer;
• you can work from anywhere in Russia (provided you are willing to participate in meetings and be available during business hours);
• you receive additional training for all interns;
• you participate in corporate events;
• you enjoy discounts from the company's partners through the "SVOM" program from day one.