Senior Data Engineer (Cybersecurity platform)

Project

Develop and improve a solution that safeguards applications from automated attacks and malicious traffic. The team builds scalable, high-performance data infrastructure supporting security analytics, monitoring, and detection capabilities. The environment combines legacy-system modernization with reliable, scalable data workflows and close collaboration across engineering teams.

Description

• Maintain and enhance existing data processes with a focus on reliability, scalability, and performance optimization.
• Analyze and understand existing data models, tables, workflows, and processing jobs.
• Identify technical gaps, bottlenecks, inefficiencies, and opportunities for system improvements.
• Design, optimize, and support large-scale data pipelines and transformation processes.
• Drive modernization initiatives across the data platform and implement architectural improvements.
• Optimize complex SQL queries and improve data-processing latency.
• Collaborate with product engineering teams to align on technical solutions and implementation strategies.
• Contribute to short-term delivery goals and long-term platform evolution.
• Ensure adherence to best practices in data engineering, performance optimization, and system reliability.

Qualifications

• 5+ years of commercial experience in Data Engineering.
• Expert-level SQL skills, including hands-on optimization of complex queries for performance and scalability.
• Strong practical experience with DBT for data transformation and modeling.
• Solid understanding of database concepts, including DDL, DML, and advanced SQL.
• Hands-on experience with Snowflake.
• Experience working with Elastic Stack technologies.
• Proven experience designing, building, and maintaining large-scale data pipelines.
• Strong analytical and problem-solving skills.
• Ability to work independently in a high-autonomy environment.
• Experience driving technical initiatives from idea to implementation.
• Strong communication and collaboration skills.
• Upper-Intermediate English level.

Will Be a Plus

• Experience with Airflow for workflow orchestration.
• Experience in cybersecurity or security-related products.
• Experience modernizing legacy data systems and architectures.