getSummary
Written in English from the original postingSigma Software is hiring a Senior Data Engineer to maintain and modernize data processes for a cybersecurity-focused product. The role emphasizes reliable, scalable data workflows, pipeline development, and performance optimization using SQL, dbt, Snowflake, and Elastic. The position requires 5+ years of data engineering experience and operates within the EU/Ukraine timezone.
Job description
Company Description
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.
Job Description
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.
Qualifications
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.
Additional Information
Timezone: EU/Ukraine
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