Join a high-impact cybersecurity project focused on protecting applications from automated attacks and malicious activity. We are looking for a Senior Data Engineer who thrives in autonomous environments, enjoys solving complex data challenges, and is ready to drive modernization initiatives across scalable data systems.
You will become a core member of a small, highly proactive engineering team working on a large-scale cybersecurity product. The role requires deep involvement in understanding existing systems, including legacy code and interconnected services, identifying inefficiencies and technical gaps, and driving meaningful improvements across the platform. You will collaborate closely with product engineering teams, influence technical decisions, and contribute to both immediate optimizations and long-term platform evolution.
As part of Sigma Software, you will collaborate with experienced international teams and have the opportunity to shape scalable data infrastructure used in cybersecurity products operating at scale. We value ownership, strategic thinking, and technical excellence, offering an environment where engineers can influence architectural decisions, drive meaningful improvements, and continue growing professionally.
CUSTOMER
Our Customer is a global cybersecurity company delivering advanced digital protection solutions for businesses, organizations, and communities worldwide. Operating across multiple cybersecurity domains, the company focuses on identifying vulnerabilities, preventing threats, and strengthening digital resilience through scalable and reliable security products.
PROJECT
The project focuses on developing and improving a cybersecurity solution designed to protect applications from automated attacks and malicious traffic. The team works on scalable, high-performance data infrastructure powering security analytics, monitoring, and detection capabilities. The environment combines modernization of legacy systems with the development of reliable and scalable data workflows, requiring strong ownership and close collaboration with cross-functional engineering teams.
Key Technologies: Snowflake, DBT, SQL, Python, Elastic Stack, Airflow
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