Data Engineer

Dodo Brands seeks a Data Engineer for Drinkit. Requires 4+ years of experience, strong SQL and Python, Spark, Kafka. Remote or office in Moscow/St. Petersburg.

Drinkit is part of Dodo Brands. The data engineering team works with modern data stack to build and maintain data pipelines and services.

4+ years of commercial experience as a Data Engineer / ETL developer. Strong SQL. Confident Python for data processing and simple services. Experience with Spark or similar. Basic experience with Kafka. Proactivity: independently identify problems and opportunities in data/pipelines and suggest improvements. Desire to solve specific problems, not just move data. Ability to communicate with analysts, sometimes managers; not afraid to ask questions, ready to take responsibility.

Employment according to the Labor Code of the Russian Federation. Remote work from anywhere in the world or in offices in Moscow or St. Petersburg. Culture of freedom and responsibility. Paid education: courses, conferences, professional literature, and co-financing of English with Skyeng. Employee care: voluntary medical insurance from day one, including dentistry, and mental health support via Alter.