Job
- Level
- Senior
- Job Field
- Data, Back End
- Employment Type
- Full Time
- Contract Type
- Permanent employment
- Location
- Berlin
- Working Model
- Hybrid, Onsite
Job Summary
In this role, you will lead a Berlin team, develop a reliable data platform, and handle architecture decisions, data quality, and platform modernization for analytics applications.
Job Technologies
Your role in the 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.
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Our expectations of you
Qualifications
- 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.
Experience
- 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.
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What we offer
- This role is required to work from our Berlin office 3 days per week.
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Topics that you deal with on the job
Job Locations
This is your employer
KAYAK
KAYAK is a renowned metasearch engine for travel services and is part of Booking Holdings. The company processes billions of search queries and provides travelers with a wide range of offers from various sources. With a presence in over 30 countries and AI-powered tools, KAYAK simplifies the search for flights, hotels, and rental cars.
Description
- Company Type
- Established Company
- Working Model
- Hybrid, Onsite
- Industry
- Internet, IT, Telecommunication
Engineering Manager, Data Platform
- Location
- Berlin
- Working Model
- Hybrid, Onsite
- Diversity
- Open for all genders
- English Only
- English only required
