Job
- Level
- Senior
- Job Feld
- Data, Back End
- Anstellung
- Vollzeit
- Vertragsart
- Unbefristetes Dienstverhältnis
- Ort
- Berlin
- Arbeitsmodell
- Hybrid, Onsite
Job Zusammenfassung
In dieser Rolle führst du ein Team in Berlin, entwickelst eine zuverlässige Datenplattform und kümmert dich um Architekturentscheidungen, Datenqualität und Plattformmodernisierungen für analytische Anwendungen.
Job Technologien
Deine Rolle im Team
- KAYAK is seeking an Engineering Manager to lead the development and evolution of its shared data platform in a hands-on technical leadership role.
- This is a senior, hands-on leadership role.
- You will lead a Berlin-based team, set technical direction, make key architecture decisions, and get directly involved in the hardest platform and reliability problems.
- The team owns shared data infrastructure and raw data quality foundations, including ingestion, storage, orchestration, runtime, and platform governance.
- You will work closely with Engineering, Data Science, Data Engineering, Operations, Security, and Product partners to build a scalable, trusted, and cost-effective platform for analytics, reporting, experimentation, and machine learning.
- Own the roadmap for KAYAK's shared data platform.
- Lead and develop a high-performing Berlin-based team of data platform engineers.
- Evolve the platform architecture across ingestion, storage, orchestration, runtime, and lakehouse foundations.
- Build core capabilities such as schema registry, data contracts, observability, metadata, and semantic layer implementation.
- Enforce data retention policies and platform controls for different data types and usage needs.
- Improve platform reliability by building the tooling and platform capabilities needed for monitoring, alerting, incident response, and operational readiness.
- Drive platform modernization and simplify legacy systems where it creates clear value.
- Define clear ownership boundaries so the platform team owns shared infrastructure and raw data quality, while downstream teams own business logic.
Unsere Erwartungen an dich
Qualifikationen
- You have strong knowledge of large-scale data platform architecture, including streaming, batch, storage, orchestration, and distributed query engines.
- You have led platforms with high-throughput event streams and large-scale analytical data.
- You have led platform migrations or infrastructure modernization efforts with strong judgment on risk, reliability, cost, and business continuity.
- You are comfortable working across Engineering, Data Science, Data Engineering, Operations, Security, and Product on technically complex topics.
- You bring high ownership, sound judgment, systems thinking, and the ability to influence senior stakeholders.
Erfahrung
- You have 8+ years of experience in data engineering, platform engineering, data architecture, or a related role.
- You have meaningful people-management experience and a high technical bar.
- You have hands-on experience with technologies relevant to KAYAK's stack, such as Kafka, Flink, Iceberg, Trino, AWS, Kubernetes, Airflow, Python, SQL, and schema-based data contracts.
Unser Angebot
- This role is required to work from our Berlin office 3 days per week.
Themen mit denen du dich im Job beschäftigst
Job Standorte
Das ist dein Arbeitgeber
KAYAK
KAYAK ist eine renommierte Metasuchmaschine für Reiseangebote und gehört zu Booking Holdings. Das Unternehmen bearbeitet Milliarden von Suchanfragen und stellt Reisenden eine breite Palette an Angeboten aus unterschiedlichen Quellen zur Verfügung. Mit einer Präsenz in mehr als 30 Ländern und KI-gestützten Werkzeugen vereinfacht KAYAK die Suche nach Flügen, Hotels und Mietwagen.
Description
- Unternehmenstyp
- Etablierte Firma
- Arbeitsmodell
- Hybrid, Onsite
- Branche
- Internet, IT, Telekom
Engineering Manager, Data Platform
- Ort
- Berlin
- Arbeitsmodell
- Hybrid, Onsite
- Diversität
- Für alle Personen geeignet (m/w/d)
- Nur Englisch
- Nur Englisch erforderlich
