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