We are now looking for an ambitious and hands-on Junior Data Engineer to join our team and build with us the Operating System that will help cities and transportation services thrive in the mobility revolution. As a Junior Data Engineer you will be part of building and maintaining optimized and highly available data pipelines, that are at the heart of Vianova mobility data platform.  Your skills will be precious in shaping the way cities, transportation services, OEMs, infrastructure owners and other businesses exchange mobility data seamlessly.

🎯 Your missions

• Integrate datasets in our geographic platform. The data comes from partners, providers, or open data repositories in the form of scheduled deliveries or by fetching from APIs.

• Work in the data team in team following Scrum methodology, you’ll interact closely with senior data engineers and data scientists

• Clean and transform the data to make it usable by our customers or our Datascientist

• Document the datasets in order to build a library

• Understand the needs of the data consumers

• Build a light data infrastructure

• Execute the processes to integrate data

• Build new processes to integrate datasources when a pattern of delivery emerges

🎁 What we offer:

• Competitive salary and generous equity incentives

• Be part of a challenging adventure, with a passionate and multicultural team, with high technical and scientific backgrounds, from Google, Alliance Renault-Nissan, Dassault Systemes

• Immerse yourself in a collaborative, entrepreneurial, international, fun and agile working culture

• Possibility to work from anywhere, in full remote or at our comfortable Paris/London offices with gym as well as various team activities and events

• This position is not a Data Scientist position ;)

We are looking for someone with:

• Studying for a Master’s degree or equivalent from a leading university, business school or engineering school;

• 6 month internship for end of degree

• Write Python fluently

• Good knowledge of databases, especially. SQL langage

• Good communication skills

• Problem solving oriented

1. screening interview (~30min)

2. fully remote exercise or case study to evaluate your hard skills

3. debriefing your exercise and projecting yourself in the company (~60min)

4. cultural fit interview with a C-level (~30min)