Senior Data Engineer*

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.

• Design, implement and optimize effective data processing architectures in Python
• Extract, transform, analyze, clean and model data from different sources
• Implement and operate maintainable and reliable data pipelines using PySpark and Airflow with a strong focus on data quality
• Strive to understand how the data is actually generated and what impact this has on data quality and our use cases through proactive communication with other departments
• Operationalize machine learning pipelines together with a team of highly motivated data scientists
• Architect and develop continuous integration & deployment processes
• Operate and optimize Hadoop (Cloudera) clusters with support of the DevOps and Infrastructure teams
• Mentor more junior team members through insightful code reviews and pair programming sessions

• Master's degree in Computer Science or equivalent
  Three or more years of working experience as a data engineer or similar position
• Extensive experience with Spark, Hadoop, SQL & relational databases, data models and ETL pipelines
• Ability to write efficient, well-tested code with a keen eye on scalability and maintainability in Python; Airflow and Scala experience is a plus
• Experience with Docker, Kubernetes and usage of continuous integration & deployment is a plus
• Good Linux knowledge
• You are a team player and strong communicator with a hands-on mentality
• Good spoken and written German is a plus, fluent English is a must-have

• A secure, permanent job in an internationally operating company in a future-proof industry that is characterized by growth
• Participation in shaping the digital transformation in an innovative company
• Permanent employment contract with 30 days of vacation, an attractive salary and further training opportunities/career model
• A structured onboarding and mentoring program in a great team with international colleagues, a “Duz Kultur” and open doors
• Numerous benefits, such as a 30% staff discount at our NEW YORKER stores, company and team events, and canteens with a diverse food selection

*Your gender doesn't matter to us - the main thing is that you fit in with us! NEW YORKER is open to all people who want to contribute to our company's success.

TITL1_DE

Wünschenswerte Fähigkeiten

• Hadoop
• PySpark
• Python
• SQL
• Scala
• Spark

• Brunswick, Lower Saxony, Germany

Berufserfahrung

• Data Engineer
• Fullstack
• Data Infrastructure
• Site Reliability (SRE)

Sprachkenntnisse

• English