7 дней назад
Senior Data Engineer
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Data Engineer (Python/SQL): Building and operating KAYAK’s business-critical data backbone and reporting systems with an accent on scalable pipelines, performant data models, and data reliability. Focus on designing end-to-end workflows, optimizing complex queries, automating data quality checks, and creating self-service tools for company-wide analytics.
Location: Hybrid role requiring work from the Berlin office 3 days per week
Salary: Not specified
Company
is a travel search engine and part of Booking Holdings, operating global metasearch brands and business travel products.
What you will do
- Architect, develop, and monitor reliable large-scale data pipelines using Python, SQL, and Rundeck or Airflow.
- Design performant data models and optimize complex SQL queries for distributed, columnar, OLAP, and relational databases.
- Build automated data quality checks and alerts to keep financial and operational reporting accurate.
- 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.
- Translate business questions into practical, maintainable technical solutions with cross-functional partners.
Requirements
- 5+ years of experience in data engineering or analytics engineering in a data-centric environment.
- Experience owning end-to-end data pipelines from ingestion through transformation, testing, and monitoring.
- Strong SQL skills and familiarity with systems such as Redshift, Trino, Vertica, MySQL, or Postgres.
- Proficiency in Python and a software-engineering approach to testable, maintainable code.
- Experience with workflow orchestration and containerization, including Airflow and Docker.
- Strong written and spoken English and availability to work from the Berlin office 3 days per week.
Nice to have
- Experience with stream processing or real-time systems such as Kafka or Flink.
- Experience with modern BI tools such as Looker or Superset.
- Experience with CI/CD and deployment automation, including GitHub Actions.
- Experience with web frameworks such as Django or Flask.
Culture & Benefits
- Work from almost anywhere for up to 20 days per year.
- Six weeks of paid vacation, a birthday day off, paid parental leave, and paid volunteer time.
- Company-paid therapy sessions, Headspace subscription, and a company-wide week off.
- Career development support, development dollars, leadership development, and access to on-demand learning.
- Travel discounts, pension contributions, public transportation subsidies, and bike leasing.
- Free lunch twice a week, no-meeting Fridays, employee resource groups, and social and sports activities.
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