Back-End & Data Engineer

Vianova I/O; Deutschland; Remote; EUR 60.000 - 85.000; Vollzeit

Zusammenfassung

A mobility data platform company in Germany is seeking an experienced Back-End & Data Engineer to develop and maintain optimized data pipelines vital for urban mobility solutions. The ideal candidate has strong Python development skills and experience with cloud deployment. Join a passionate and multicultural team committed to innovation in mobility data. This position offers competitive salary, remote working options, and a collaborative work environment.

Leistungen

Competitive salary

Generous equity incentives

Health insurance

Travel and meal tickets

Gym access at offices

Team activities and events

Qualifikationen

• Mandatory development experience in Python.
• Experience with cloud deployment and integration of 3rd party APIs.
• Strong analytical reasoning and problem-solving skills.

Aufgaben

• Build and maintain optimized data pipelines.
• Develop back-end mobility intelligence in Python.
• Support development of public APIs.

Kenntnisse

Python development

Geo-spatial data handling

RESTful APIs development

Big Data processing

DevOps workflows

Cloud deployment

Data analysis

Ausbildung

Degree in Computer Sciences or related technical field

Tools

Snowflake

DBT

PostgreSQL

Jobbeschreibung

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

• screening interview (~30min)
• fully remote exercise or case study to evaluate your hard skills
• debriefing your exercise and projecting yourself in the company (~60min)
• cultural fit interview with a C-level & the team (~45min)
• reference checks