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Back-End & Data Engineer

Join Vianova, a company dedicated to revolutionizing urban mobility. As a Back-End & Data Engineer, you will be responsible for building and maintaining optimized data pipelines, integrating geo-spatial datasets, and developing public APIs. You will work with a passionate and multicultural team, enjoy competitive salary and benefits, and have the flexibility to work remotely or in our Paris/London offices.

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Job summary
Permanent contract
Paris
Fully-remote
Salary: €45K to 65K
Experience: > 2 years
Education: Master's Degree
Skills & expertise
DevOps principles
Collaboration and teamwork
Problem-solving skills
Exchange
Python
+6
Key missions

Développer en Python l'intelligence de mobilité Back-End de la plateforme Vianova.

Intégrer et gérer des ensembles de données géospatiales, et les combiner avec des analyses de mobilité.

Écrire des pipelines Big Data et de streaming pour gérer des milliards d'échantillons IoT de mobilité en temps réel.

Vianova
Vianova

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The position

Job description

✍️ The Role

We are now looking for an ambitious and hands-on 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.

🎯 What You’ll Do

  • 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

🚲 Why Join Vianova

  • 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

🧠 Background & Expertise

  • 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 & the team (~45min)

  5. reference checks

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