Senior Data Engineer (Cybersecurity)

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

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

WILL BE A PLUS

• Experience with Airflow for workflow orchestration