Data Engineer (M/F) - Internship - Paris

Wiremind

Paris

Hybrid

EUR 12,000 - 17,000

Full time

27 hours ago
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Benefits offered by this job

Remote 1 day/week
Paris offices
Attractive pay
Autonomy
Learning environment

Job summary

Wiremind Cargo in Paris seeks a Data Engineer Intern to join a multi-disciplinary team building ML-powered forecasting and optimization for air cargo revenue management. You will help scale data pipelines and deploy models alongside devops, software, and data science professionals.

This internship offers exposure to a modern tech stack, strong mentorship, and a culture that values initiative and autonomy within a growing startup environment.

Qualifications

  • Pursuing a Master’s Degree in Engineering and seeking an end-of-study internship.
  • Passionate about addressing business challenges through innovative tech solutions.
  • Committed to high-quality standards in all work aspects.
  • Solid understanding of computer science and eagerness to advance quickly in a best-practice environment.

Responsibilities

  • Support the ML engineers by improving our MLOps platform.
  • Collaborate with software engineers to implement data science algorithms in client applications safely and scalably.
  • Coordinate with the platform team to minimize infrastructure debt.
  • Help deploy our algorithms in production in a safe, scalable way.

Skills

Python
SQL
ML
Data engineering
DevOps

Education

Master’s Degree in Engineering

Tools

Python
SQLAlchemy
Remoulade
FastAPI
PostgreSQL
Redis
Druid
Kubernetes
Prometheus/Grafana
Kibana

Job description

Wiremind Cargo has had strong commercial momentum over the past 18 months. We've signed and are implementing our CargoStack and SkyPallet solutions with several of the world's largest airlines, and our customer base now includes major carriers across the Middle East, Europe, and Asia. With 25+ accounts overall live or going live, we need someone focused on making our key accounts successful.

Today, our customer relationships are managed by the same people who sell and implement our products. As our installed base grows, we need a dedicated function that owns customer health, protects revenue, and drives expansion. This is a foundational hire. You'll be shaping and strengthening the customer success function at Wiremind Cargo, creating the playbooks, and owning relationships with some of the biggest names in air cargo.

Your missions
Responsibilities

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
Our benefits
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
  • A screening interview with Yasmine, our Talent Acquisition Specialist
  • A Manager Interview with Mathilde, our Head of Data, including a live technical assessment with her.

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

Since 2014, Wiremind has transformed transport and events with a 360° approach, integrating UX, software, and AI.

We excel in optimizing and marketing our clients' capacity, handling projects like ticket forecasting, pricing, 3D air freight optimization, and competitor price scraping. Our tools are trusted by companies like SNCF, United Airlines, Qatar Airways, and PSG for visualizing, analyzing, and optimizing capacity.

Dynamic and ambitious, we maintain our technical DNA, driving our success. Profitable and self-financed since inception, Wiremind consists mostly of engineers and experts, supporting our SaaS-based business model.

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