Job
- Level
- Senior
- Ort
- Berlin
- Arbeitsmodell
- Hybrid, Onsite
- Job Feld
- BI, Data
- Anstellung
- Vollzeit
- Vertragsart
- Unbefristetes Dienstverhältnis
Job Zusammenfassung
In diesem Job entwickelst du skalierbare Datenpipelines mit Python und SQL, optimierst Datenmodelle und sorgst für die Datenintegrität durch automatisierte Überprüfungen sowie Self-Service-Tools.
Job Technologien
Deine Rolle im Team
- Architect for scale: Develop and monitor robust data pipelines using Python, SQL, and Rundeck/Airflow that handle large-scale data volumes with high reliability.
- Optimize performance: Design performant data models and optimize complex SQL queries for high-scale environments.
- Ensure data reliability: build automated checks and alerts to catch errors early so financial and operational reports remain accurate.
- Increase data access: automate repetitive tasks and build self-service tools to make data easier to use across teams.
- Drive engineering excellence: experiment with and leverage AI-assisted coding tools to accelerate development cycles and enhance code quality.
- Work with partners across the company: translate business questions into practical, maintainable technical solutions.
Unsere Erwartungen an dich
Qualifikationen
- Strong SQL skills and familiarity with distributed/columnar/OLAP systems (examples: Redshift, Trino, Vertica) and relational databases (e.g., MySQL, Postgres).
- Proficiency in Python and a software-engineering approach to building testable, maintainable code.
- Strong analytical and troubleshooting skills for investigating data issues.
- Strong written and spoken English to communicate effectively across teams.
- Modern BI tooling (e.g., Looker, Superset).
- CI/CD and deployment automation (e.g., GitHub Actions).
- Web frameworks for internal tools (e.g., Django, Flask).
Erfahrung
- 5+ years of proven experience in data engineering or analytics engineering within a related data-centric environment.
- Experience owning end-to-end data pipelines (ingest transform test monitor).
- Experience with workflow orchestration and containerization (examples: Airflow, Docker).
- Nice-to-have experience: Stream processing or real-time systems (e.g., Kafka, Flink).
Unser Angebot
- This role will be required to work from our Berlin office 3 days per week.
- Work from (almost) anywhere for up to 20 days per year.
- Focus on mental health and well-being: Company-paid therapy sessions through SpringHealth.
- Company-paid subscription to HeadSpace.
- Company-wide week off a year - the whole team fully recharges (and returns without a pile-up of work!).
- No meeting Fridays.
- Paid parental leave.
- Paid volunteer time.
- Focus on your career growth: Development Dollars.
- Leadership development.
- Access to thousands of on-demand e-learnings.
- Travel Discounts.
- Employee Resource Groups.
- 6 weeks paid vacation + a day off for your birthday.
- Free lunch 2 days per week.
- Pension plan contributions.
- Public transportation subsidies.
- Bike leasing program.
- Monthly social events, Thursday happy hours, sports teams.
- An awesome office in Friedrichshain, Berlin.
Themen mit denen du dich im Job beschäftigst
Job Standorte
Das ist dein Arbeitgeber
KAYAK Germany GmbH
Die KAYAK Germany GmbH mit Sitz in Berlin gehört zur KAYAK- und Booking-Holdings-Gruppe. Sie bietet Lösungen zur Online-Suche und zum Preisvergleich an, die es den Nutzern ermöglichen, Angebote zu finden und Preise zu vergleichen.
Description
- Unternehmenstyp
- Etablierte Firma
- Arbeitsmodell
- Hybrid, Onsite
- Branche
- Internet, IT, Telekom
Senior Data Engineer
- Ort
- Berlin
- Arbeitsmodell
- Hybrid, Onsite
- Diversität
- Für alle Personen geeignet (m/w/d)
- Nur Englisch
- Nur Englisch erforderlich
