Senior Data Engineer

The product is a solution to safeguard applications from automated attacks. The engineer is expected to operate as a core member of a small, high-autonomy, proactive team focused on: developing a deep understanding of a core products including legacy code and multiple services; proactively finding problems, inefficiencies, risks, technical gaps and areas for improvement, implementing them; negotiating with product engineering teams to get buy-in for changes implementation; planning short-term wins and long-term improvement strategy. Responsibilities: • Maintain and enhance existing data processes, ensuring reliability, performance, and scalability; • Build a full understanding of existing tables, flows, and jobs - what the data is, where it's used, where it can be improved, where to build new ones; • Drive system reliability and performance improvements across all data workflows; • Own and execute data process modernization initiatives; • Collaborate cross-functionally to ensure architectural alignment and best-practice adoption. Must-Have Requirements: • 5+ years of overall experience in Data Engineering; • Expert-level SQL skills: being able to optimize complex queries for latency and performance; • Proficiency with DBT for data transformation and modeling; • Strong data engineering fundamentals and database knowledge (DDL/DML/SQL); • Hands-on experience with Snowflake and Elastic; • Deep experience building, scaling, and managing large-scale data pipelines; • Proven ability to work independently, take ownership, and drive initiatives to completion. Nice-to-Have: • Practical experience with Airflow for workflow orchestration. Timezone: EU/Ukraine The Сustomer provides comprehensive cybersecurity solutions designed to protect individuals, organizations, and communities. Operating across various sectors, the company addresses vulnerabilities and ensures protection against a wide range of risks, especially in the digital space.