Kayak
Data Engineer
Berlin Office, Remote. Posted 17 days ago
The role
You will build the data foundation for machine learning by transforming large-scale raw data into production-ready datasets. You will partner with data scientists to design scalable pipelines and address data gaps.
What you will do
- Partner with Data Science teams to translate modeling needs into dataset requirements.
- Collaborate with Data Engineering and Data Platform to extend pipelines into ML-ready datasets.
- Design scalable and efficient dataset workflows.
- Ensure pipeline reliability through validation, monitoring, and alerting.
- Diagnose and resolve issues.
- Ship production-ready data solutions for ML applications.
- Identify gaps and opportunities to strengthen the data foundation.
- Communicate technical decisions and trade-offs to technical and non-technical audiences.
Required qualifications
- Strong technical foundations in data engineering, software engineering, and systems design.
- Track record of building and operating reliable, large-scale data pipelines.
- Hands-on experience developing production data pipelines.
- Ownership, sound judgment, and systems thinking.
- Ability to navigate technical, reliability, cost, and risk trade-offs.
- Fluency with AI-assisted workflows.
Nice to have
- Hands-on experience with Kafka, Flink, Iceberg, Trino, AWS, Kubernetes, Airflow, Python, SQL, and schema-based data contracts.
- Experience with feature stores or feature pipelines.
- Familiarity with Agile ways of working, such as sprint planning and team ceremonies.
Benefits
- Work from (almost) anywhere for up to 20 days per year
- Company-paid therapy sessions through SpringHealth
- Company-paid subscription to HeadSpace
- Company-wide week off a year
- No meeting Fridays
- Paid parental leave
- Paid volunteer time
- Development Dollars
- Leadership development
- Access to thousands of on-demand e-learnings
- Travel Discounts
- Employee Resource Groups
About the company
KAYAK is a travel search engine and part of Booking Holdings. It operates a portfolio of global metasearch brands including momondo, Cheapflights and HotelsCombined.