Senior Data Engineer (Cybersecurity platform)

• Maintain and enhance existing data processes with a focus on reliability, scalability, and performance optimization
• Analyze and fully 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 both 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 with hands-on experience optimizing 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