Pioneer of online flash sales since 2001 and key player in European e-commerce Veepee collaborates with over 7000 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 3.2 billion euros incl. VAT in 2024 and employs 5000 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 teams 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 APIs 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 Veepees innovative strategy.
From Warsaw to Sevilla through Brussels Amsterdam Paris Nantes Nice Barcelona and Madrid all our projects are developed in an agile environment with a wide skills variety where youll be sure to find your place no matter the technology you work with.
If you love to try things why dont you jump on this new adventure
Disclaimer: Drjobpro.com is only a platform that connects job seekers and employers. Applicants are advised to conduct their own independent research into the credentials of the prospective employer.We always make certain that our clients do not endorse any request for money payments, thus we advise against sharing any personal or bank-related information with any third party. If you suspect fraud or malpractice, please contact us via contact us page.