Senior Data Engineer (Cybersecurity platform)

Company DescriptionJoin a high-impact cybersecurity project where data engineering directly contributes to 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.As part of Sigma Software, you will collaborate with experienced international teams, influence architectural decisions, and work with modern data technologies in a remote-friendly environment aligned with the EU/Ukraine timezone.We value proactive engineers who combine technical excellence with ownership and strategic thinking. This role offers the opportunity to contribute to cybersecurity products used at scale while growing within a supportive and people-focused company culture.CUSTOMEROur 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. PROJECTThe project is focused on developing and improving a solution designed to safeguard applications from automated attacks and malicious traffic. The team works on scalable and high-performance data infrastructure supporting security analytics, monitoring, and detection capabilities. The environment combines legacy system modernization with the development of reliable and scalable data workflows, requiring strong ownership and close collaboration with cross-functional engineering teams.Job DescriptionMaintain and enhance existing data processes with a focus on reliability, scalability, and performance optimizationAnalyze and fully understand existing data models, tables, workflows, and processing jobsIdentify technical gaps, bottlenecks, inefficiencies, and opportunities for system improvementsDesign, optimize, and support large-scale data pipelines and transformation processesDrive modernization initiatives across the data platform and implement architectural improvementsOptimize complex SQL queries and improve data processing latencyCollaborate with product engineering teams to align on technical solutions and implementation strategiesContribute to both short-term delivery goals and long-term platform evolutionEnsure adherence to best practices in data engineering, performance optimization, and system reliabilityQualifications5+ years of commercial experience in Data EngineeringExpert-level SQL skills with hands-on experience optimizing complex queries for performance and scalabilityStrong practical experience with DBT for data transformation and modelingSolid understanding of database concepts, including DDL, DML, and advanced SQLHands-on experience with SnowflakeExperience working with Elastic stack technologiesProven experience designing, building, and maintaining large-scale data pipelinesStrong analytical and problem-solving skillsAbility to work independently in a high-autonomy environmentExperience driving technical initiatives from idea to implementationStrong communication and collaboration skillsUpper-Intermediate English levelWILL BE A PLUSExperience with Airflow for workflow orchestrationExperience in cybersecurity or security-related productsExperience modernizing legacy data systems and architectures