Senior Data Engineer

1w1 week ago

SentinelOne

Prague, CZ · Full-time · €55,000 – €85,000

About this role

SentinelOne is driven by a clear purpose: to give the advantage to those who secure our future. As AI reshapes organizations, your work as a Senior Data Engineer will protect global enterprises and critical infrastructure. Design and maintain data infrastructure powering cyber threat detection research on petabytes of data.

You will build scalable data pipelines processing security data and develop production-grade pipelines using software engineering best practices. Operate big data infrastructure and cloud data warehouses focused on reliability and performance. Partner with data scientists and security researchers to deliver impactful solutions.

Collaborate closely with cross-functional teams including data scientists, security researchers, product managers, and engineers. Our teams are builders, problem-solvers, and innovators shaping security's future. Join mission-driven people excited to solve hard problems.

Thrive here if relentlessly curious and committed to continuous learning. Build fluency in AI tools regardless of role. Actively seek solutions, experiment, and apply learnings for better outcomes.

Requirements

4+ years of experience in data engineering, data architecture, and distributed systems
Proficiency in programming languages such as Python, Java, Scala, or similar
Experience with cloud-based technologies such as AWS, GCP or Azure
Experience with deploying big data technologies such as Apache Spark, Hadoop, Hive, IceBerg, Trino
Familiarity with data warehousing concepts and technologies
Experience with data visualization tools such as Tableau, PowerBI, Grafana or similar
Strong problem-solving skills, with the ability to develop innovative solutions to complex problems
Excellent communication skills, with the ability to clearly present and explain complex data and models to technical and non-technical stakeholders

Responsibilities

Design, build, and maintain scalable data pipelines that process petabytes of security data
Develop production-grade pipelines, applying software engineering best practices
Operate big data infrastructure and cloud data warehouses with a focus on reliability and performance
Partner with data scientists and security researchers to deliver impactful data solutions
Ensure data quality, observability, and governance across the platform