About BlaBlaCarBlaBlaCar is the world’s leading carpooling platform, created with one dream in mind: leveraging technology to fill the millions of empty seats on the road. We offer long- and short-distance carpooling as well as a bus marketplace, with the mission to become the go-to marketplace for shared road mobility.
Today, our community counts over 100 million travelers in 22 countries, creating a smarter, friendlier and carbon-saving transport network. Every year, our community saves 1.6 million tons of CO2e by sharing the road, equivalent to the CO2 emissions generated by Paris traffic in a year. But it doesn’t stop here our team of 250+ engineers is developing innovative algorithms to further unlock the potential of shared travel and multiply its impact.
We’re looking for people to join our journey people who care, who are driven by impact and innovation, and who want to thrive in a fast-paced entrepreneurial environment. We offer a flexible workplace where we count on each other to take initiative. So join the ride we can’t wait to see where it takes you.
Your MissionWe are looking for a Confirmed Data Engineer to join the 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 referencial 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 two main components: Google BigQuery and Airflow.
Your role is to own 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.
As well, you will contribute to the Data Engineering Chapter, a horizontal group of Data Engineers, whose mission is to improve tools for Data Engineers, and make efficient the day-to-day of a Data Engineer by innovative technologies or processes.
Over the past 3 years, the scope covered by Data Engineers tripled, which led the Data Organization to reformulate as a Data Mesh. This setup allows producing data products faster and autonomously as a team dedicated to a specific data domain.Your Responsibilities
- Building efficient and robust data models for large volumes of data
- Developing and optimizing the data workflows from the raw layer to the data mart in our data platform
- Implementing solutions to improve the data quality
- Being the point of communication for all Data Engineering decisions in your domain; working closely with Software Engineers, Data Scientists and Data Analysts
- Contributing in the Data Engineering Chapter, defining policies and standards for data management
- Articulating the strategy to build a data platform; this platform enables a mesh of autonomous data domains to interoperate.
Your Qualifications
- You are capable of designing a data architecture and working hand-in-hand with data consumers on a daily basis
- You have strong SQL skills amp; work experience on a cloud data warehouse
- You have strong experience with Python, including testing, deployment and codebase refactoring
- Experience with Airflow and DataMarts are a plus
- You embrace change, are able to take a step back, prioritize, and focus on added-value tasks
- You have a results-driven and impact-oriented mindset
- Fluency in English
If you don’t meet 100% of the qualifications outlined above, tell us why you’d still be a great fit for this role in your application!What we have to offer
- An international environment: over 35 nationalities across 7 countries: Brazil, France, Germany, Poland, Russia, Spain, Ukraine
- Opportunities to learn: 360 onboarding weeks, weekly team-all BlaBlaTalks to learn about what other teams are up to, International Weeks to mingle with other offices, regular Qamp;A sessions with our leadership, honest discussions about our company KPIs, ‘Fail, Learn, Succeed’ moments where we destigmatize and share moments of failure with others.
- Innovation: Coding Nights to pitch ideas outside our roadmap and make development dreams come true, weekly Product amp; Tech Demos and blogs to share engineering stories, access to top conferences across Europe.
- Impact: building a product that has a real impact on society and the environment, and sharing an office culture that prioritizes low-waste and eco-friendly practices.
- People-first: wind down from work at our BlaBlaShows, BlaBlaBreak retreats, weekly breakfasts and afterworks (when th