Design, build, operate, and continuously improve our Snowflake-based data warehouse and services.
Deliver reliable, well-modeled datasets and simple APIs that power analytics and dashboards.
Work closely with analysts and PD&T partners to translate business needs into data products.
Implement and operate stable ELT/ETL into Snowflake; monitor and fix failures.
Deliver clean layers in data modeling; keep definitions consistent with metric owners.
Seamlessly onboard new regional platforms into a unified model.
Build/maintain simple data services and endpoints; consume external APIs.
Add checks and resolve data defects; protect PII.

Bachelor’s or Master’s in Data Science, Computer Science, IT, Engineering, or a related field.
2–4+ years in data engineering or DWH development.
Strong SQL & Python; Airflow; Snowflake (or similar cloud DWH); Git/JIRA/Confluence.
Clear communication, ownership, quality mindset; can turn ambiguous asks into stable data solutions.
Russian — fluent (must)
English — fluent (must)
German/other EU language — plus

Data Engineer

Key skills