Senior Data Engineer (Snowflake)

✅ Your responsibilities: • Design, build, and own scalable, production-grade data pipelines and architectures from scratch • Develop and optimize ELT processes in Snowflake, integrating data from multiple sources (APIs, databases, external providers) • Model and maintain well-structured, performant data warehouse solutions in Snowflake • Ensure data quality, reliability, and robustness (e.g. handling failures, deduplication, late-arriving data) • Collaborate with analysts and stakeholders to translate unclear business problems into scalable data solutions • Continuously optimize performance and cost (query tuning, warehouse sizing, clustering) • Build and maintain data services / APIs enabling reliable data access across systems • Take ownership of solutions in production, including monitoring, debugging, and improvements • Evaluate and introduce tools (especially within dbt + Snowflake ecosystem) to improve the platform 🧠 Our requirements: • Proven experience as a Senior Data Engineer • Strong hands-on experience with Snowflake (performance tuning, query profiling, optimization) • Solid experience with dbt • Very strong SQL skills • Good programming skills in Python • Experience building and maintaining scalable ELT pipelines • Experience with large-scale data processing (e.g. Apache Spark) • Experience with cloud platforms (AWS preferred) • Strong understanding of data modeling (especially for analytics / warehouse use cases) • Ability to design solutions independently and work with ambiguous requirements • Understanding of trade-offs, scalability, and system reliability 🌟 What we offer: • 100% remote work • Long-term, stable cooperation • Private healthcare and Multisport • Real influence on technical decisions and architecture • Work on production systems at scale, with real impact • Environment where ownership and senior-level thinking are expected and valued