The Data Intelligence Tribe is responsible for leveraging Shippeo's data from our large shipper and carrier base to build data products that help our users (shippers and carriers alike) and ML models to provide predictive insights. This tribe's typical responsibilities are to:
As a Data Engineer at Shippeo, your objective is to ensure that data is available and exploitable by our Data Scientists and Analysts on our different data platforms. You will contribute to the construction and maintenance of Shippeo's modern data stack that's composed of different technology blocks:
Cloud Data Warehousing (Snowflake, BigQuery)
Stream/event data processing (Python, Docker, Kubernetes) and all the underlying infrastructure that supports these use cases.
Required:
Desired:
Application Requirements:
Since Shippeo operates internationally, please submit your CV in English. We're eager to hear from you if you're ready to take on a challenge and grow your career in a supportive, innovative environment.
This job is based in Paris, but we are open to candidates working remotely in France.
We are looking for talents who share our values:
Find out more about our values in Our Culture Book.
Discover your Dream Team! Meet our Shippians and get to know more about their role at Shippeo!
Click here to watch their videos.
We are committed to fostering diversity and inclusion within our workplace as we value the unique perspectives and experiences that individuals from all backgrounds bring to our team. We are dedicated to providing equal employment opportunities to all candidates regardless of their background or abilities, and our commitment to inclusion is reflected in our policies, practices, and workplace culture.
We understand that candidates may have unique needs or questions related to disability inclusion. To facilitate this, you can reach our dedicated Disability Advisor with any inquiries or requests for accommodations during the application process.
Employment Type:
Key Skills:
Apache Hive, S3, Hadoop, Redshift, Spark, AWS, Apache Pig, NoSQL, Big Data, Data Warehouse, Kafka, Scala.
Experience: years
Vacancy: 1