Job
In this role, you will develop efficient data pipelines to create ML-ready datasets, ensuring pipeline reliability while clearly communicating technical decisions throughout the process.
Job technologies
Your role in the team
- Partner with the Data Science teams and help translate modeling needs into dataset requirements, then collaborate with Data Engineering and Data Platform to extend foundational pipelines into ML-ready datasets.
- Design scalable and efficient dataset workflows and ensure pipeline reliability through validation, monitoring, and alerting; diagnose and resolve issues.
- Ship production-ready data solutions that enable ML applications and deliver real-world impact on user experience and key business metrics.
- Identify gaps and opportunities, contributing to technical decisions and roadmap priorities that strengthen the data foundation for current and future ML use cases.
- Collaborate across Data Science, Engineering, and Data Platform, communicating technical decisions, findings, and trade-offs clearly and concisely to technical and non-technical audiences.
Our expectations of you
Qualifications
- Strong technical foundations in data engineering, software engineering, and systems design, backed by a track record of building and operating reliable, large-scale data pipelines. Demonstrated capability matters more than academic credentials.
- Ownership, sound judgment, and systems thinking, with the ability to navigate technical, reliability, cost, and risk trade-offs while working independently and recognizing when to seek guidance.
- Fluency with AI-assisted workflows, leveraging modern tools to improve productivity and quality while critically evaluating their outputs and limitations.
- Curiosity, humility, and a collaborative mindset, with a commitment to continuous learning, sharing knowledge, and improving together.
Experience
- Hands-on experience developing production data pipelines, with the ability to clearly explain the problems addressed, your specific contributions, and the resulting impact.
What we offer
- This role will be required to work from our Berlin office 3 days per week.
Topics you will work on
Job locations
About your employer
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.
- Established Company
- Hybrid, Onsite
- Internet, IT, Telecommunication
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