Senior Big Data Engineer - Security Research / Detection

What Are We Looking For?

As a Senior Data Engineer, you will play a vital role in designing, building, and maintaining the data infrastructure that powers our cyber threat detection research (core and critical part of our product). This infrastructure will enable data scientists and security researchers to make sense of petabytes of data and uncover the threats that matter. You will collaborate closely with cross-functional teams across the company - data scientists, security researchers, product managers, and engineers - to deliver innovative data solutions that help us build best-in-class threat detection and protect our customers.

What will you do?

Primary responsibilities include:

• Design, build, and maintain scalable data pipelines that process petabytes of security data (we ingest 5-10 petabytes daily) for research purposes.
• 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.

What Skills and Knowledge Will You Bring?

Ideal candidates will have:

• 4+ years of experience in data engineering, data architecture, and distributed systems
• Proficiency in programming languages such as Python (that we use), Java, Scala, or similar.
• Experience with cloud-based technologies such as AWS (our primary), 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.
• BS or higher degree in Computer Science, Software Engineering, Statistics, Mathematics, or related field. Additional or directly relevant experience will be considered in lieu of a degree.
• Experience in leading cross-functional projects between R&D and product teams.

Equity & Rewards

• Restricted Stock Units (RSUs)
• Employee Stock Purchase Plan (ESPP)
• Performance-based bonus

Time Off & Wellbeing

• Flexible time off, on top of the standard 5 weeks PTO
• Paid company wellness days and fully paid short-term sick/nursing leave
• Gender-neutral parental leave

Insurance & Financial Security

• Private medical care benefit
• Life and disability insurance
• Pension Insurance contribution
• Global business travel medical insurance
• Employee Assistance Program (EAP)

Work Perks & Flexibility

• Global home office allowance
• Meal allowance
• Hybrid work in Prague (Karlin), Brno (Clubco) or remote in CZ/SK. Only Prague-based employees are required to work from the office at least 2 days//week.

Wellness & Lifestyle

• Wellbeing allowance
• MultiSport benefit program
• Wellness Coach app