Junior Analytics Engineer - Data Capabilities

BlaBlaCar is the world’s leading community-based travel network, connecting over 100 million members across 22 countries looking to carpool or travel by bus. By sharing rides and filling empty seats on the road, our community avoids 1.6 million tons of CO2 emissions every year (as if Paris was free of road traffic for a year!)

We are a global and diverse team of 700+ people with 45+ nationalities, and headquartered in Paris. We’re constantly looking for new ways to leverage technology to create a more affordable, convenient, flexible and sustainable way to travel. And we are always on the lookout for people who care about making a positive impact.

We are looking for an Analytics Engineer to join our Data Capabilities squad. This squad is in charge of the data products related to BlaBlaCar members (Identity, Trust and Safety, Community), and BlaBlaCar platform (Authentication, Payment, Messaging systems). The squad builds a data warehouse on this scope to serve clean data to any of the 700 employees, among which some important reference frameworks are used by the other data squads. The squad provides analysis to platform product managers, and owns services such as a fraud detection service. The data-warehouse is built around 3 main components: Google BigQuery, Airflow and DBT.

Your role would be to handle members and platform data from the raw layer to the warehouse layer. You will work closely with Data Analysts, Data Scientists and Software Engineers on your team to continuously provide data products to make decisions on the product.

You would also contribute to the Data Engineering Chapter, a horizontal group of Data Engineers, whose mission is to improve tools for Data Engineers, and make the day-to-day of a Data Engineer more efficient with innovative technologies and processes.

Over the past 3 years, the scope covered by Data Engineers tripled, leading the Data Organisation to reformulate as a Data Mesh. This setup allows faster and autonomous production of data products as a dedicated team to a specific data domain.

In sync with Elliot, Analytics Engineer in the squad, your role would be to:

• Construct efficient and robust data models for large volumes of data

• Develop and optimise the data workflows from the raw layer to the data mart in our data platform

• Implement solutions to improve the data quality

• Contribute to the Data Engineering Chapter, defining policies and standards for data management

• Experience using (any SQL engine experience is appreciated; we use Bigquery)

• Understanding of the ETL concept, as writing ETLs will represent a large part of your daily work

• Experience working with a programming or scripting language (any is appreciated; we use Python with Cloud Composer/Airflow and DBT)

• Basic knowledge of UNIX, GIT

• Bonus: Experience with a Cloud provider (we use GCP)

• Bonus: You have experience as an Analytic Engineer (working with DataMarts)

• Fluency in English

🌎 An international environment with over 45+ nationalities

⚖️ A hybrid, flexible workplace with family-friendly policies

💡 Learning opportunities via access to training, mentorship, internal development programs, or our weekly team-wide BlaBlaTalks and Tech & Product Demos

🤝 Team-building events like our weekly afterworks, breakfasts, our annual or

🌱 A product and a workplace with a strong commitment to sustainability

🧭 Shared that are the foundation of our culture and everyday decisions

To know more, check out our !

• Full remote possibility in the country of the role

• 4 additional weeks of parental leave 100% paid

• Financial support for home office equipment

• Relocation package and visa support

• Free unlimited carpooling & bus rides

• Employee Stock Ownership plan

• 25 days of holiday per year + RTT

• Local meal plan policies (Swile card in France)

• 50% transportation paid in France (Forfait Mobilité Durable)

• Mental health support through

Here’s what your hiring journey will look like:

• a 45-minute video-call with , Talent Acquisition Manager, to get to know you, understand your career expectations and answer your questions

• a 60-minute video-call with , Data Engineering Manager, to get to know you and introduce you to the team

• a fully remote exercise to evaluate your technical skills followed by a 90-minute video-call with two Data Engineers to discuss your exercise and technical skills

• a 30-minute video-call with , VP Data, to evaluate your growth mindset