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7 дней назад

Senior Data Engineer

Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
Germany
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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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

hirify.global 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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