Veepee recrute un(e)

Data Science Engineer

CDI • Nice, France

Cette offre est lié au département Data


The vente-privee group has consolidated its various European brands, together made up of 6000 employees, under one unified conglomerate: Veepee(e)This coalescence marks a new chapter in its European history. 

With Privalia, vente-exclusive, Designer & Friends, Zlotewyprzedaze, Eboutic and vente-privee, Veepee achieved a 3.7 billion Euro turnover as of 2018(e)Present in 14 countries now, Veepee is taking a leading role in the European digital commerce landscape. 

Our 6000 employees have chosen a job at Veepee to spice up their daily lives! Our teams implement new technologies to fuel our strategies, offering our customers the best possible experience. 

Are you eager to learn? Veepee offers you a variety of trades to develop your career, enabling you to renew your skills constantly(e)Tech, logistics, sales, marketing, sales production: join us on an exciting, digital-centered journey. 

As a data engineer, you will join one of our Data Science Teams, which is fully cloud-native and distributed between Paris, Barcelona and Brussels. 
The team’s responsibility lies in providing forecasts to operational and business entities within Veepee(e)

Your mission will be to support the team in building data pipelines, deploying machine learning models on GCP and developing microservices to expose ML-based predictions to customer-facing products.

Responsibilities:

  • Develop, deploy and maintain high-load API’s on Kubernetes with strong SLA requirements and high business value;
  • Version and deploy machine learning models at scale in a cloud environment;
  • In the context of machine learning projects, develop and maintain data pipelines and ensure data quality;
  • Identify, design, and implement internal process improvements: automating manual processes, optimizing code and data delivery, re-designing infrastructure for greater scalability etc;
  • Keep improving your technical knowledge and expertise by animating the Veepee data engineering community, attending conferences, contributing to open-source projects, organizing and attending meetups.

Requirements:

  • At least 3 to 5 years 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;
  • Experience with distributed data systems: No-SQL databases (HBase, BigTable), data lakes (BigQuery), storage (HDFS);
  • Used to work in a cloud environment (GCP, AWS, Azure,...);
  • Familiar with the concepts of a microservice architecture(e)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.

What we offer:

  • The dynamic and creative environment within international teams;
  • Opportunity to work on a large-scale e-commerce platform with tens of millions of users across Europe;
  • Be part of our vpTech IT community of >800 tech enthusiasts;
  • The variety of self-education courses on our e-learning platform;
  • The participation in meetups and conferences sponsored by vpTech locally and internationally;
  • 3 days of remote work per week or remotely if you prefer so;
  • Excellent team spirit and thriving after-work atmosphere.
Belonging to Veepee, <vpTech/> is one of the biggest tech communities in Europe with more than 800 IT collaborators.

From Warsaw to Barcelona, through Lyon, Nantes, Tel Aviv, Brussels, Nice, Amsterdam, and Paris, all our projects are developed in a functional environment with a wide skills variety where you’ll be sure to find your place, no matter the technology you want to work with.

If you love to try things why don’t you jump on this new adventure?

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