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KAYAK
KAYAK
1,001 – 5,000 Employees
H1B Visa SponsorConsultingHospitalityLogistics
KAYAK is a travel search and comparison platform that helps people plan trips by comparing flights, hotels, and rental cars across hundreds of travel sites. Its website and mobile app let travelers refine results using practical preferences, monitor prices with alerts, and organize plans through KAYAK Trips. With mobile rates and travel notifications, KAYAK supports more informed booking decisions while keeping travel research in one place.
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Staff Data Platform Engineer, KAYAK - Berlin Hybrid

Lead the evolution of KAYAK’s shared data platform supporting analytics, machine learning, and AI-powered travel search. Build scalable streaming, lakehouse, metadata, and query infrastructure.

DEGermanyHybridFull-timeLeadEnglish RequiredData Engineer
AirflowApacheAWSCloudJavaKubernetesPython

Description

  • Shape KAYAK’s shared data platform across near-real-time streaming, lakehouse storage, schema management, semantic layers, and distributed query infrastructure
  • Lead platform initiatives from initial problem definition and architecture through implementation, rollout, and operational handoff
  • Set technical standards for data contracts, schema evolution, ingestion practices, and production readiness
  • Create reusable architectures for streaming ingestion, compaction, retention, schema governance, observability, and common data engineering challenges
  • Implement platform observability through pipeline monitoring, consumer-lag tracking, data-quality validation, and alerting
  • Partner with Operations, Security, Engineering, Data Engineering, and Product to evolve the platform around user needs
  • Lead semantic-layer and metadata strategies that support consistent self-service analytics and trusted AI data access
  • Assess technologies and architectural approaches across streaming, storage, querying, orchestration, and cloud infrastructure
  • Mentor engineers through design and code reviews, pairing, and reusable technical guidance
  • Resolve complex architectural and operational issues involving recovery, schema drift, partition management, and performance degradation

Requirements

  • At least seven years of professional data engineering experience, including substantial senior- or staff-level work with organization-wide technical scope
  • Experience designing and operating large-scale lakehouse architectures using technologies such as Apache Iceberg, Parquet, and cloud object storage
  • Production experience building and running streaming pipelines with event-driven ingestion, exactly-once semantics, consumer-lag management, checkpointing, recovery, and failure handling
  • Practical experience with data contracts, schema governance, metadata systems, or semantic layers
  • Strong Python programming skills and experience delivering maintainable, testable production code
  • Experience deploying and operating data workloads on Kubernetes, including containerized infrastructure, resource tuning, and health checks
  • Ability to influence several teams, explain architectural trade-offs, and lead adoption
  • Experience mentoring engineers and improving technical standards through reviews, documentation, and reusable patterns
  • Willingness to take ownership of broad and ambiguous technical problem spaces
  • Experience with distributed query engines such as Trino
  • Experience with workflow orchestration tools such as Apache Airflow
  • Experience using AWS or a comparable public cloud platform
  • Experience with CI/CD and deployment automation tools such as GitHub Actions
  • Working knowledge of Java or another JVM-based language

Benefits

  • Work from almost anywhere for up to 20 days each year
  • Company-funded therapy sessions through SpringHealth
  • Company-funded Headspace subscription
  • A company-wide week off each year
  • Meeting-free Fridays
  • Paid parental leave
  • Paid time for volunteering
  • Development dollars
  • Leadership development opportunities
  • Access to thousands of on-demand e-learning courses
  • Travel discounts
  • Employee resource groups
  • Six weeks of paid vacation plus a day off for your birthday
  • Free lunch two days each week
  • Pension plan contributions
  • Public transportation subsidies
  • Bike leasing program
  • Monthly social events, Thursday happy hours, and sports teams
  • Office location in Friedrichshain, Berlin

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