Principal / Senior Data Engineer (Берлин / Брауншвайг)
Прямой работодатель New Yorker ( www.newyorker.de )
Опыт работы от 3 до 5 лет
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.
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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.