Principal Data Engineer (Берлин / Брауншвайг)

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NEW YORKER
Москва
Полный день, От 3 до 6 лет, Полная занятость, Стандарт

Ключевые навыки

SCALA
Spark
Python
Big Data
Hadoop
Databases
ETL

Этой вакансией мы рассчитываем укрепить нашу команду Data Science в Берлине или Брауншвайге.

В Германии с марта 2020 года значительно упрощён процесс получения рабочей визы для высококвалифицированных специалистов (EU Blue Card). Так, если вы имеете высшее образования в сфере IT (по крайней мере частично или косвенно соответствующее текущей специальности), признаваемое в Германии, то у вас есть возможность получить рабочую визу после подписания рабочего договора. Постоянный вид на жительство возможно получить уже через 21 месяц работы.

Поэтому если Вы уверенно владеете английским языком и рассматриваете возможность переезда в Берлин, ознакомьтесь с нашей вакансией. При отклике, пожалуйста, используйте только англоязычное резюме или резюме, имеющее ссылку на Ваш актуальный профиль в LinkedIn.

NEW YORKER is one of the leading German fashion retailers with over 1100 stores in 45 countries. Agility in a fast-moving market has helped to make NEW YORKER a thriving business for more than 40 years running.

The Data Science department uses state-of-the-art machine learning and optimization techniques to continuously improve business processes at NEW YORKER. We work in agile project teams on a variety of use cases, including image recognition, order optimization, pricing, distribution and logistics. We are a very ambitious and international team and are proud of our high standards.

YOUR TASKS:

  • Co-responsible with the Head for the whole data engineering architecture: design, implementation, maintenance
  • Technical leadership of end-to-end data solutions for Data Science use cases, such as a Data Lake
  • Teaches and mentors engineers in technical and non-technical areas
  • Build and maintain ETL processes and data models by exploring and analyzing various data sources in the business domain
  • Operationalization of machine learning pipelines together with a team of highly motivated data scientists
  • Architect and develop continuous integration & deployment processes
  • Implementation and operation of APIs and data microservices
  • Operation and optimization of a Hadoop (Cloudera) cluster with support of the DevOps and Infrastructure teams

YOUR PROFILE:

  • Master’s degree in Computer Science or equivalent
  • Five or more years of experience working as a Data Engineer or similar position
  • Deep knowledge of scalable distributed processing systems, such as Spark or Flink. Ideally on Hadoop
  • Ability to write efficient, well-tested code with a keen eye on scalability and maintainability in Python and Scala
  • Excellent understanding of relational databases, data models and ETL
  • Good Linux knowledge
  • Experience with containers, container orchestrators such as Kubernetes or Mesos and usage of continuous integration & deployment
  • Good knowledge of software development best practices (e.g. Test Driven Development, Agile, Extreme Programming)
  • You are a team player and strong communicator with a hands-on mentality
  • Experience with Airflow is desired
  • English speaking fluency
  • Fluency in German is a plus

WHAT WE OFFER:

  • A very competitive salary
  • Working in a joint Data Science and Data Engineering Team
  • Exciting challenges in the fashion industry including
    • Pricing
    • Distribution
    • Logistics
    • Order Optimization
    • Fashion Trends Insights
    • Recommender Systems
  • Realization of data solutions impacting over 1100 stores in 45 countries
  • Excellent work-life balance
  • MacBook Pro and a 27” 4k screen
  • German lessons and other benefits
  • Level up your skills through conferences, courses and meetups
  • 30 work days of vacation


We are looking forward to your online application including your earliest possible date of entry and your salary expectations.