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