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Kayak

1 day ago

Data Engineer

Onsite · Berlin Office Berlin Office

pythonsqlawskuberneteskafka cost centers

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AI TL;DR

Join KAYAK as a Data Engineer in Berlin to build reliable data pipelines for machine learning applications. Collaborate with data scientists and engineers to enhance data workflows and support business metrics.

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Clear role · 80/100 against the market band on this page.

Interview prep for this job

  1. What would you ship in the first month as Data Engineer at Kayak?
  2. Which tradeoff in the description would you ask about first?
  3. How do you explain a production incident to this team?
  4. What would you measure in the first two weeks?
  5. Which part of your last project maps to this stack?

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Job description

Join KAYAK as a Data Engineer in Berlin to build reliable data pipelines for machine learning applications. Collaborate with data scientists and engineers to enhance data workflows and support business metrics.

Details

  • Berlin, work from office 3 days per week
  • Salary not specified
  • Skills required: python, sql, aws, kubernetes, kafka
  • Experience in data engineering and software engineering

The work

  • Partner with Data Science teams to translate modeling needs into dataset requirements
  • Design scalable dataset workflows and ensure pipeline reliability
  • Ship production-ready data solutions for ML applications
  • Identify gaps and contribute to technical decisions for data foundation