Back-End & Data Engineer [Senior]


Back-End & Data Engineer [Senior]

The company



  • Mobility, SaaS / Cloud Services, Public and Local Agencies
  • From 15 to 50 employees

The job

Back-End & Data Engineer [Senior]

Who are they?

Vianova makes cities’ mobility safer and more sustainable by leveraging connected vehicles data

Vianova is a leading mobility data platform that helps cities and operators build safer and more sustainable transportation systems.

Through its platform and API suite, Vianova serves 40 cities across the globe in 15 different countries, and aggregates data from 50 transportation services. Our technology facilitates data sharing within the mobility ecosystem and provides tools for cities to better manage their streets and curbs, in the transportation revolution.

With the rapid development of new transportation services, from e-scooters, last mile deliveries to autonomous vehicles, Vianova’s mission focuses on leveraging connected vehicles data to make our cities greener and safer. Our fast growing company gathers mobility and data-science experts from leading organizations, tech companies and universities.

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Job description

We are now looking for an ambitious and hands-on Senior Back-End & 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 Back-End & Data Engineer you will be responsible for 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 :

  • Develop in Python the Back-End mobility intelligence of the Vianova platform
  • Integrate and handle geo-spatial datasets, and combine them with mobility analytics
  • Support the development of public APIs to be shared with mobility operators and cities, containing mobility and compliance metrics
  • Develop mobility data APIs and actively participate in the online community driving them forwards
  • Write Big Data, streaming pipelines to handle billions of real time IoT mobility samples per day, and apply ML/AI to automatically extract insights for cities and operators
  • Apply robust DevOps workflows

🎁 What we offer:

  • Competitive salary and generous equity incentives
  • Exciting benefits from health insurance, to travel and meal tickets
  • 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

Preferred experience

About you:

We are looking for someone with:

  • Degree in Computer Sciences, related technical field or equivalent practical experience
  • Mandatory development experience in Python (previous job or personal work) — Preferred knowledge of RESTful and JSON APIs development in Python (FastAPI)
  • Knowledge of relational and non-relational database management (Snowflake, DBT, PostgreSQL) — Recommended experience with large data set manipulation & data mining
  • Full capacity to setup/deploy new features with modern CI/CD and deployment tool chain by adopting state of the art version control and release management
  • Required previous experience with cloud deployment of web services and integration of 3rd party APIs — Knowledge of data ingestion and serverless architecture (Cloud Functions, Lambda, Pub/Sub)
  • Strong analytical reasoning and algorithmic skills for interpreting mobility and geo data
  • Problem solving oriented, enthusiastic to work on strong technical challenges

Recruitment process

  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)
  5. meeting with the team (~2h)
  6. reference checks


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