Data Engineer

Veepee

full-time

Posted on: 9/22/2025

Origin: • 🇫🇷 France

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Mid-LevelSenior

ApacheAWSAzureBigQueryCloudGoogle Cloud PlatformJavaKafkaKubernetesMicroservicesPythonSparkSQL

About the role

Join one of our Data Science Teams distributed between Paris, Barcelona and Brussels
Build data pipelines and ensure data quality for machine learning projects
Deploy machine learning models on a mixed cloud/on-premise architecture and version, deploy and monitor models at scale
Leverage LLMs and develop microservices to expose ML-based predictions to customer-facing products
Develop, deploy and maintain high-load APIs on Kubernetes with strong SLA requirements and high business value
Identify, design, and implement internal process improvements: automation, code and data delivery optimization, infrastructure redesign for scalability
Keep improving technical knowledge and expertise by animating the Veepee data engineering community, attending conferences, contributing to open-source projects, and organizing meetups.

At least 5 years of experience in software engineering, preferably in the data field
Strong knowledge of Java, SQL, and Python
Experience with data processing technologies like Apache Beam (or Flink), Spark, Kafka, etc. is a plus
Experience with distributed data systems: No-SQL databases (e.g. BigTable), Trino, data lakes (e.g. BigQuery), storage (e.g. GCS / S3)
Used to work in a cloud environment (GCP, AWS, Azure,...)
Familiar with the concepts of microservice architecture
Prior experience with deploying containers on a platform like Kubernetes and its ecosystem is a big plus
Proficiency with version control Git
Experience with tools like dbt is a plus
Interest in machine learning and data analytics
A strong team player, willing to share knowledge with other team members and help out where needed
Strong verbal and written English language skills.