About the role

  • Design efficient services to collect, process, and store petabytes of data, ensuring high scalability and performance.
  • Challenge the status quo by redesigning and unifying multiple inherited data pipelines, driving the transition to a streamlined, harmonized data architecture.
  • Lead large-scale projects that involve complex systems and cutting-edge technologies, driving impactful changes across the organization.
  • Develop innovative data formats and exchange mechanisms that optimize functionality while minimizing costs and maximizing performance.
  • Share knowledge and increase the team's expertise by introducing new ideas and mentoring fellow engineers.
  • Contribute to the continuous evolution of the primary data pipeline, addressing growing data volumes and functional requirements.
  • Collaborate closely with cross-functional teams to ensure data solutions align with the organization's strategic goals.

Requirements

  • With a minimum 4-5 years of experience, you have a good grasp of the fundamentals of computer science.
  • You have worked with dynamic complex systems in a rich ecosystem with lots of integrations.
  • You have hands-on experience tackling large-scale data challenges, focusing on scalability, low-latency processing, and fault-tolerant system design.
  • You have experience with cloud providers such as AWS and Azure, with a comfort in writing infrastructure as code.
  • You have strong communication skills, with the ability to collaborate effectively in a team environment on-site but also in async with people around the world.
  • You have the ability to thrive in a flat team structure, actively contributing to solving technical challenges alongside peers.
  • You are proactive, full of ideas, with a critical yet constructive attitude and a positive approach to bringing thoughtful input.
  • Nice to have:
  • Proficiency in Go and/or Scala
  • Experience with ClickHouse and/or SingleStore
  • Experience with Kubernetes
  • Experience using Kafka

Benefits

  • Virtual onboarding, Hackathon, and various opportunities to interact with your team and global colleagues both on and offsite each year
  • Work flexibility: hybrid and remote work policies
  • Generous paid time-off policy (every location is different)
  • Immediate eligibility for birthing and non-birthing parental leave
  • Wellbeing and Home Office allowances
  • A Culture Crew in every country we’re based in to coordinate regular activities for employees to get to know each other and bond outside of work
  • Every full-time employee receives stock options, allowing them to share in the company’s success
  • We have multiple Employee Resource Groups, that offer a safe space for individuals who share common identities, life experiences, or allyship to connect, support one another, and passionately advocate for the issues close to their hearts
  • And more benefits tailored to each country

Job title

Senior Data Engineer

Job type

Experience level

Senior

Salary

Not specified

Degree requirement

No Education Requirement

Location requirements

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