Data Engineer, Veepee

Salary not provided

+ Variable bonus

SQL

AWS

Kubernetes

GCP

Python

Java

Kafka

Azure

Spark

Flink

BigQuery

Git

dbt

Senior and Expert level

Paris

International eCommerce company

Job no longer available

International eCommerce company

1001+ employees

B2CRetailLifestyleFashionConsumer GoodseCommerceSales

Job no longer available

Salary not provided

+ Variable bonus

SQL

AWS

Kubernetes

GCP

Python

Java

Kafka

Azure

Spark

Flink

BigQuery

Git

dbt

Senior and Expert level

Paris

1001+ employees

B2CRetailLifestyleFashionConsumer GoodseCommerceSales

Company mission

To offer the worlds of culture and entertainment the best in digital technology.

Job

Company

Role

Who you are

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

What the job involves

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
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

Application process

30-minute HR Screen with a Veepeeᵀᵉᶜʰ Recruiter
Technical exchange
Team Interview

Our take

eCommerce is booming across the world. Driven by a rise in mobile devices and general changes in consumer trends, global eCommerce sales are expected to total $8 trillion worldwide in 2027. This is a massive time in the history of eCommerce business.

Founded in 2001, Veepee specialised in so-called "flash sales", which usually last between three to five days and are exclusively available to the 50+ million members that VeePee's website boasts. In a nutshell, then, its strategy is based on two pillars of consumer engagement: exclusivity and time-restricted decision-making.

Now, VeePee is focused on two key goals: expanding its international presence and building a foothold in the second-hand & recycled market. With over 20 years of successful operations behind it, as well as a model which continues to be disruptive, Veepee is in a great position to attack the coming eCommerce growth head-on.

Steph

Company Specialist at Welcome to the Jungle

Insights

Top investors

4% employee growth in 12 months

Glassdoor (3.7)

Trustpilot (3.7)

Company

Funding (last 2 of 5 rounds)

May 2013

$29.2m

GROWTH EQUITY VC

Oct 2010

$19m

SERIES E

Total funding: $90.9m

Company HQ

Saint-Denis, France

Leadership

Jacques-Antoine Granjon

(CEO)

Previous co-founder and CEO of Cofotex.

Salary benchmarks

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