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Staff Data Engineer
SentinelOne, Remote
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Staff Data Engineer

What are we looking for?

This is a rare opportunity to influence and finish the build-out of SentinelOne’s best-in-class data ecosystem and business intelligence foundation for a rapidly growing cybersecurity company. Our global teams are at the front line of defense against cyberattacks, combining our industry-leading XDR platform and unmatched cyber security knowledge. We’re joined by one mission – but driven by the impact of that mission and what it means to protect our way of life in the digital age.

Join as Staff/techlead-level Data Engineer our a dynamic and fast-paced team that feels excitement at the prospect of a challenge and a thrill at driving streamlined data pipelines and having a crucial role in the future growth of every aspect of the company through data-driven insights. The ideal new colleague will not want to code, and instead will use building custom code as a means of last resort, preferring off the shelf tools that do not require code.

What will you do?

  • Hands-on build-out finalization of SentinelOne’s Business Data Ecosystem: including data standardization, enabling Self-service Analytics, delivering the company-wide data source of truth and visualization capabilities.
  • Data modeling and creation of ERDs (entity relationship diagrams).
  • Build analytics workflows based on requirements from data analysts and internal business partners.
  • Ingest new data sources into the Business Data Ecosystem as required using existing tools first & developing code as the non-preferred option.
  • Verify data governance policies are being followed and collaborate with data owners on any new data governance technology/capabilities as necessary.
  • Collaborate with business stakeholders including product teams, data scientists, and internal functions (sales, marketing, support, finance, etc.) to gather and align on requirements & business value.
  • Employ your skills & knowledge of GCP native capabilities to streamline & unlock data value across SentinelOne and expand your experience & expertise in delivering business value through industry best tools.
  • Develop mitigation strategies and solutions to gaps that are identified.
  • Work with data sets in the hundreds of petabytes scale.

What skills & knowledge should you bring?

  • Multiple years of hands-on experience in standing up and using data infrastructure, data analytics for a wide variety of business stakeholders using Google Cloud Platform native capabilities (GCP is a must-have experience); Data ingestion & schema standardization, for event, batch and streaming models, Data Warehousing, Analytics experience and data optimization for BiqQuery.
  • Ability to explain how to build distributed fault tolerant systems and how to build new systems with backward compatibility to avoid down time.
  • Proven experience and understanding of Python and SQL.
  • Must be a strong team player and collaborator, open-minded to possibilities, and present objective perspectives based on data, experience, or research.
  • Hands-on experience with BigQuery, Data ingestion tool familiarity (i.e., Nexla, Fivetran, Qlik Replicate), Data modeling, Google data Storage technologies and Data access control implementations.
  • Familiarity with orchestration of data pipelines using event-based architecture.
  • Experience with infrastructure as code such as Terraform or Pulumi.  
  • The optimal candidate will have a continual learner mentality and drive to deliver results, and must be resolute in documentation development. 
  • Strong communication, change management and stakeholder management skills; self-organization and self-starting capabilities due to global team construct.
  • Strong problem-solving skills, excellent troubleshooting skills, and ability to be open-minded & passionate about solving problems vs. using one specific solution in all situations.
  • Big data experience working with data sets in petabytes scale is highly preferred.
  • A plus would be hands-on experience with Tableau and Looker. 

What we offer you

Salary from 4000 EUR/month.
Yearly % bonus depending on the performance of the company, paid out in 2 installments.
*The final base salary component can be increased accordingly to individual skills and experience of the selected candidate.

On top of that you may look forward to:

  • Flexible working hours & Full remote within Slovakia; optional membership in Regus co-working spaces; in Czechia we also have offices in Prague or Brno
  • Generous employee stock plan in the form of RSUs (restricted stock units) not options; 4 years vesting with 1 year cliff and then quarterly
  • Meal Allowance (maximum value of the employer’s contribution per day: €4.29)
  • Wellbeing Allowance (€120/month)
  • Flexible Time Off (on top of the standard 5 weeks of vacation)
  • Flexible Paid Sick Days
  • Fully Paid Short Term Sick/Short Term Nursing Leave
  • 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)
  • Pension insurance contribution
  • Premium Life Insurance covered by S1
  • Global Employee Assistance Program (confidential counseling related to both personal and work life matters), Wellness Coach:Mind Body Sleep app company access (sessions, audiobooks, classes, private coaching etc.)
  • High-end MacBook or Windows laptop, Home-office-setup gear & on top of that additional WFH Allowance
  • Udemy Business platform for Hard/Soft skills Training, internal mentoring 'MentorOne' & Support for your further educational activities/trainings
  • Above-standard referral bonus
  • Yearly bonus depending on the performance of the company
  • Optional company events for those who like to meet outside of work too - mostly in Czechia expensed as business trip (sport, BBQ, charity etc.)
  • 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
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