16 days ago
Berlin, GermanyMid Level
Responsibilities
- Partner with Data Science, Data Engineering, and Data Platform teams to translate modeling needs into ML-ready dataset requirements.
- Design scalable dataset workflows and production data pipelines.
- Ensure pipeline reliability through validation, monitoring, and alerting, and diagnose and resolve issues.
- Ship production-ready data solutions that enable machine-learning applications and improve user experience and business metrics.
- Identify data gaps and opportunities and contribute to technical decisions and roadmap priorities.
- Communicate technical decisions, findings, and trade-offs to technical and non-technical audiences.
Requirements
- Strong foundations in data engineering, software engineering, and systems design, with a track record of building and operating reliable large-scale data pipelines.
- Hands-on experience developing production data pipelines and explaining the problems addressed, personal contributions, and resulting impact.
- Ability to exercise ownership and sound judgment, navigate technical, reliability, cost, and risk trade-offs, work independently, and seek guidance when appropriate.
- Fluency with AI-assisted workflows and the ability to critically evaluate their outputs and limitations.
- Collaborative mindset, curiosity, humility, commitment to continuous learning, and willingness to share knowledge.
- Bonus experience with Kafka, Flink, Iceberg, Trino, AWS, Kubernetes, Airflow, Python, SQL, schema-based data contracts, feature stores, or feature pipelines.
- Familiarity with Agile ways of working, including sprint planning and team ceremonies.
Benefits
- Work from almost anywhere for up to 20 days per year.
- Company-paid therapy sessions through SpringHealth and a company-paid HeadSpace subscription.
- Company-wide week off each year and no-meeting Fridays.
- Paid parental leave and paid volunteer time.
- Development dollars, leadership development, and access to thousands of on-demand e-learnings.
- Travel discounts, employee resource groups, six weeks of paid vacation, and a birthday day off.
- Free lunch two days per week, pension plan contributions, public transportation subsidies, and a bike leasing program.
- Monthly social events, Thursday happy hours, sports teams, and an office in Friedrichshain, Berlin.
- The role requires working from the Berlin office three days per week.
Tech Stack
Categories
Data Engineering
About KAYAK
KAYAK builds a travel metasearch platform that lets consumers compare flights, hotels, rental cars, and vacation packages across hundreds of sites, plus tools for trip planning. It earns through referrals and advertising and offers KAYAK for Business for corporate travel. Founded in 2004 and headquartered in Stamford, Connecticut, KAYAK is part of Booking Holdings and operates a portfolio of brands including momondo, Cheapflights, and HotelsCombined.