Data Engineer

il y a 5 jours


Bd Poissonnière Paris France Wiremind Temps plein


Since 2014, Wiremind has positioned itself as a technical company transforming the world of transport and events with a 360° approach combining UX, software, and AI.

Our expertise lies primarily in optimizing and marketing our clients' capacity. We work on various projects such as ticket forecasting and pricing, 3D optimization of air freight or scraping competitor prices. Our applications are the preferred tool of companies such as SNCF, United Airlines, Qatar Airways or even PSG to visualize, analyze and optimize their capacity.

Dynamic and ambitious, we strive to maintain our technical DNA which is the engine of our success. The company, profitable and self-financed since its creation 10 years ago, is mainly composed of engineers and experts and currently supports the growth of our business model based on "software-as-a-service" solutions.

Your missions

At Wiremind, the Data Science team is responsible for the development, monitoring and evolution of all ML-powered forecasting and optimization algorithms in use in our Revenue Management systems. Our algorithms are divided in 2 parts:

  • A modelling of the unconstrained demand using ML models (e.g. deep learning, boosted trees) trained on historical data in the form of time-series

  • Constrained optimizations problems solved using linear programming techniques

The team is now entering a scaling phase where we will face the challenge to stay agile in terms of innovation while supporting and closely monitoring deployed algorithms.

This rapid growth comes with a multiplication of data sources and deployed predictive models.

As a Data Engineer Intern, you will be joining a team shaped to have all profiles necessary to constitute an autonomous departement (devops, software and data engineering, data science, AIML, operational research).

There, you will:

  • support the ML engineers by improving our MLOps platform

  • Work closely with software engineers to implement the data science algorithms in the client applications in a safe, scalable and maintainable way

  • Exchange with the platform team to keep the infrastructure debt at a minimum

  • Help the team deploy our algorithms in production in a safe, scalable and maintainable way

Technical stack:
  • Backend: Python 3.11+ with SQLAlchemy, Remoulade, FastAPI

  • Data-store: Postgresql, Redis, Druid

  • Gitlab for continuous delivery

  • Kubernetes for infrastructure

  • Prometheus/Grafana and Kibana for operations

Your profile
  • You are currently pursuing a Master's Degree in Engineering and you're looking for a end-of-study internship

  • You're passionate about addressing business challenges through innovative technological solutions

  • You are committed to maintaining high-quality standards in all aspects of your work

  • You have a solid understanding of computer science and are eager to advance quickly in an environment that adheres to best development practices

What we offer for 6 months

By joining us, you will integrate:

  • A self-financed startup with a strong tech identity

  • Beautiful 800 m² offices in the heart of Paris (Bd Poissonnière)

  • Attractive remuneration

  • A caring and stimulating team that encourages skills development through initiative and autonomy

  • A learning environment with opportunities for evolution

You will also benefit from:

  • 1 day of remote work per week

  • Access to WellPass at a preferential rate to maintain your well-being

  • A great company culture (monthly afterworks, regular meetings on technology and products, annual off-site seminars, team-building…)

Our recruitment process
  1. A screening interview with Yasmine, our Talent Acquisition Specialist

  2. A Manager Interview with Florian, our Lead Data Engineer

  3. A technical test to prepare for

  4. A presentation at our offices in the presence of Florian

Wiremind is committed to equality of opportunity, diversity, and fairness. We encourage all candidates with the necessary experience to apply for our job offers.


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