Data Engineer

Veepee

Paris

Pioneer of online flash sales since 2001 and key player in European e-commerce, Veepee collaborates with over 7,000 brands to offer highly discounted products available for a limited time. Operating across various sectors, including fashion, home, wine, travel or beauty... Veepee achieved a turnover of 3.3 billion euros incl. VAT in 2024 and employs 5,000 staff members across 10 countries.
As a data engineer you will join one of our Data Science Teams, and distributed between Paris, Barcelona and Brussels. The team's responsibility lies in providing forecasts to operational and business entities within Veepee, driving high-priority projects around product pricing, product ranking, warehouse efficiency and search.
Your mission will be to support the team in building data pipelines, deploying machine learning models on a mixed cloud/on-premise architecture, leveraging LLMs, 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, deploy and monitor machine learning models at scale
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 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.
BENEFITS
Variable bonus
Dynamic and creative environment within international teams
The variety of self-education courses on our e-learning platform
The participation in meetups and conferences locally and internationally
Flexible Office with up to 2 days at home
Flexible retribution package (including Medical Insurance)
RECRUITMENT PROCESS
1 30-minute HR Screen with a Veepeeᵀᵉᶜʰ Recruiter
2 Technical exchange
3 Team Interview
We are convinced that it is up to you to define the way you work, to develop yourself, and to progress.
At Veepee we guarantee that you can just be yourself! For the service of diversity and inclusion, Veepee is committed to reviewing all applications received on an equal basis.
COMPANY For more information about our ecosystem:
WHO WE ARE
Veepeeᵀᵉᶜʰ is a tech community of 500 collaborators who play a key role in Veepee's innovative strategy.
From Warsaw to Sevilla, through Brussels, Amsterdam, Paris, Lyon, Nantes, Nice, Barcelona, Madrid and Lausanne all our projects are developed in an agile environment with a wide skills variety where you'll be sure to find your place, no matter the technology you work with.
If you love to try things why don't you jump on this new adventure?
Need more info >
Vente-privee.com processes the collected data to handle the recruitment process, and to evaluate your ability to carry out the job offered and your professional skills. You can learn more about our use of your data and your rights by reading our recruiting privacy policy.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Publié le 2025-10-15

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