Senior Data Engineer - Feature Store

  • Paris, France
  • Full-time

Company Description

BlaBlaCar is the world’s leading long-distance carpooling platform – a global, trusted community of 70 million drivers and passengers in 22 countries. The platform connects people looking to travel long distances with drivers heading the same way, so they can travel together and share the cost. With the recent integration of a coach network and a commuter carpooling service, BlaBlaCar aims to become the go-to for shared road mobility. Affordable, convenient and user-friendly, wherever there’s a road, there’s a BlaBlaCar.

Job Description

Why join us?

By joining our Data team, you will be working alongside talented individuals grouped in small agile teams that each have strong ownership on their piece of these goals. 

The feature store team sits within the data team, in the engineering organization. The data team mission is to supply dependable data and algorithms to BlaBla employees and products. The feature store team mission is to provide dependable data for predictive models. Dependable means trustworthy and reliable: stakeholders need to be 100% confident their data is accurate, and this data is delivered in a timely and predictable fashion, to whoever needs it.

Supplying dependable data for predictive models puts the feature store team at the center of critical real-time decision-making processes, ranging from pricing trips, ranking search results, preventing bad behavior, or bidding on marketing ads. The scope covered by the team is at the core of BlaBlaCar’s Machine Learning models; accordingly, the senior data engineer role has a tremendous impact on our activity. 

What you will directly contribute to :

  • Creating, maintaining and improving our internal ML API to handle predictions, training and sampling at large scale,

  • Automating the deployments of new machine learning models (CI/CD)

  • Creating a low latency, real-time updated date store to optimize data used by our models

  • Helping and advising the data scientists team in software engineering best practices 


What you will need to be successful :

  • 5+ years of experience in engineering teams within tech companies

  • Fluency in Java or Golang programming language and eager to constantly learn new technologies 

  • Used to work with containerized applications 

  • Startup mindset where finding the good balance between fast iterations and quality delivery is key to the success of the project

  • User focus oriented spirit with the ambition to deliver the best services for data scientists 

  • Hands-on, taking initiatives and collaborative attitude

  • Fluent in spoken and written English, proficiency in French is a plus

Additional Information

A few practical details about the role

  • Start: As soon as you are ready!

  • Location: Paris HQ

  • Contract: Permanent contract (CDI)

  • Compensation: Competitive package based on experience

What we offer all of our employees:

  • A start-up spirit that fosters agility, teamwork and impact

  • Challenging career opportunities in a high-growth and fast-paced environment

  • An inspiring working environment including state-of-the-art office spaces

  • Free carpooling to live our value “Be The Member”

  • Annual BlaBlaBreak which takes us all for an unforgettable weekend

  • Bi-Weekly BlaBlaTalks when we learn from each other

  • Weekly Tech Demos

What is next ? 

If you are ready to join our exciting journey, please apply below: upload your resume in English (PDF format) and answer our questions in English.

Kindly note that only complete applications will be reviewed by our hiring team and that all your information will be kept confidential.

You can expect us to review your application within the following 3 weeks. If your application fits our requirements, we will first invite you to an interview call followed by a case study and 2 onsite interviews.

BlaBlaCar is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.