About Us:

SentinelOne is defining the future of cybersecurity through our XDR platform that automatically prevents, detects, and responds to threats in real-time. Singularity XDR ingests data and leverages our patented AI models to deliver autonomous protection. With SentinelOne, organizations gain full transparency into everything happening across the network at machine speed – to defeat every attack, at every stage of the threat lifecycle. 

We are a values-driven team where names are known, results are rewarded, and friendships are formed. Trust, accountability, relentlessness, ingenuity, and OneSentinel define the pillars of our collaborative and unified global culture. We're looking for people that will drive team success and collaboration across SentinelOne. If you’re enthusiastic about innovative approaches to problem-solving, we would love to speak with you about joining our team!

What are we looking for?

We are seeking a Staff Big Data Engineer who is passionate about big data, data engineering and AI. We need someone who can contribute to the development and implementation of robust data solutions and enhance our data capabilities for cyber security research. As our ideal new colleague you should have a strong background in (big) data engineering, building distributed systems over a cloud environment and be comfortable working with large-scale datasets for research purposes (our cybersecurity platform ingest 5-10 Petabytes of data daily).

What will you do?

As a Staff Big Data Engineer at SentinelOne, you will play a vital role in designing, building, and maintaining the data infrastructure required for effective research for developing cyber threat detections in our products (incl. new AI-powered detections or detections in cloud environments). These infrastructures will be used by data scientists and cyber security researchers to make sense of petabytes of data.

You'll collaborate closely with cross-functional production teams across the entire company, including data scientists, cyber security researchers, product managers, and more.

You will deliver innovative big data solutions that will assist us in developing the best threat detection solution (recognized 3x in-a-row by Gartner as Leaders or by Mitre Att&ck) and protecting tens of millions devices & cloud environments of our customers from enterprise & public sector (incl. 4 of Fortune10 and hundreds of Global2000 companies).

What experience and knowledge you should bring

  • Multiple years of experience in (big) data engineering, (big) 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 or 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, 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

A huge plus would be

  • Experience in and passion for cybersecurity
  • Experience with MLOPs and working with data scientists

Why us?

You will work on real-world problems and make an impact by protecting our customers from cyber threats. You will be joining a cutting-edge project and will be able to influence the architecture, design, and structure of our core platform. You will tackle extraordinary challenges and work with the very BEST in the industry.

What we offer you

  • Flexible working hours, this is a 100% remote role based within Spain; we provide optional membership in major coworking chains
    • Optionally for those willing to relocate to the Czech Republic relocation assistance is available for any candidates that are already eligible to work in the EU

  • Generous employee stock plan in the form of grant of RSUs (restricted stock units), not options; 4 years vesting with 1 year cliff and then quarterly, stock refresh yearly
  • Yearly bonus depending on the performance of the company, paid out in 2 installments
  • 30 Days of Paid Annual Leave
  • Flexible Paid Sick Days
  • Pension insurance contribution
  • Premium Life Insurance covered by S1
  • Premium Medical & Dental Insurance covered by S1
  • Meal, Transport & Homeoffice allowance of total 440 EUR/month
  • Global gender-neutral Parental Leave (16 weeks, beyond the leave provided by the local laws) & Grandparent Leave
  • Volunteering paid day off & Additional paid Company holidays off (e.g. 4 days in 2022)
  • Global Employee Assistance Program (confidential counseling related to both personal and work life matters)
  • Udemy Business platform for Hard/Soft skills Training & Support for your further educational activities/trainings
  • Above-standard referral bonus
  • DEI&B programs that promote employee resource groups like SentinelWIN (Women Inclusion Network), Blk@S1, Latinos@S1, Pan-Asian@S1, Out@S1 (LGBTQIA+) and Sentinels Who Served

& Aditional country-specific benefits to Spain

SentinelOne is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.

SentinelOne participates in the E-Verify Program for all U.S. based roles. 

Apply for this Job

* Required
resume chosen  
(File types: pdf, doc, docx, txt, rtf)
cover_letter chosen  
(File types: pdf, doc, docx, txt, rtf)


Enter the verification code sent to to confirm you are not a robot, then submit your application.

This application was flagged as potential bot traffic. To resubmit your application, turn off any VPNs, clear the browser's cache and cookies, or try another browser. If you still can't submit it, contact our support team through the help center.