2 months ago
Responsibilities
- Develop and monitor robust, scalable data pipelines using Python, SQL, and Rundeck/Airflow.
- Design performant data models and optimize complex SQL queries for high-scale environments.
- Build automated data quality checks and alerts to maintain accurate financial and operational reporting.
- Automate repetitive tasks and create self-service tools that improve data access across teams.
- Use AI-assisted coding tools to accelerate development and improve code quality.
- Collaborate across the company to translate business questions into practical, maintainable technical solutions.
Requirements
- 5+ years of experience in data engineering or analytics engineering in a related data-centric environment.
- Experience owning end-to-end data pipelines covering ingestion, transformation, testing, and monitoring.
- Strong SQL skills and familiarity with distributed, columnar, or OLAP systems and relational databases.
- Proficiency in Python and a software-engineering approach to building testable, maintainable code.
- Experience with workflow orchestration and containerization.
- Strong analytical and troubleshooting skills for investigating data issues.
- Strong written and spoken English for cross-team communication.
- Nice-to-have experience with Kafka or Flink, Looker or Superset, GitHub Actions, and Django or Flask.
Benefits
- Work from almost anywhere for up to 20 days per year.
- Required to work from the Berlin office three days per week.
- 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 and Employee Resource Groups.
- Six weeks of paid vacation plus 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.
Tech Stack
Amazon RedshiftApache AirflowApache FlinkApache KafkaApache SupersetDjangoDockerFlaskGitHub ActionsMySQLPostgreSQLPythonSQL
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.