Job
- Level
- Senior
- Location
- Berlin
- Working Model
- Hybrid, Onsite
- Job Field
- BI, Data
- Employment Type
- Full Time
- Contract Type
- Permanent employment
Job Summary
In this role, you will develop scalable data pipelines using Python and SQL, optimize data models, and ensure data integrity through automated checks and self-service tools.
Job Technologies
Your role in the 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.
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Our expectations of you
Qualifications
- 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).
Experience
- 5+ Jahre nachweisliche Erfahrung im Bereich Data Engineering oder Analytics Engineering in einem datenorientierten Umfeld.
- 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).
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What we offer
- 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.
- Firmenbezogene HeadSpace-Abonnement.
- Company-wide week off a year - the whole team fully recharges (and returns without a pile-up of work!).
- No meeting Fridays.
- Bezahlter Elternurlaub.
- 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.
- Subventionen für den öffentlichen Nahverkehr.
- Bike leasing program.
- Monthly social events, Thursday happy hours, sports teams.
- An awesome office in Friedrichshain, Berlin.
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Topics You Will Work On
Job Locations
About Your Employer
KAYAK Germany GmbH
KAYAK Germany GmbH, based in Berlin, is part of the KAYAK and Booking Holdings group. It offers online search and comparison solutions that enable users to find deals and compare prices.
Description
- Company Type
- Established Company
- Working Model
- Hybrid, Onsite
- Industry
- Internet, IT, Telecommunication
Senior Data Engineer
- Location
- Berlin
- Working Model
- Hybrid, Onsite
- Diversity
- Open for all genders
- English Only
- English only required
