Data Engineer: Real-Time ML Pricing Pipelines

Free2move; Paris; Sur place; EUR 50 000 - 60 000; Plein temps

Avantages offerts par ce poste

Start-up spirit

International projects

Development opportunities

E-learning platform access

Multidisciplinary teams

Globally collaborative environment

Résumé du poste

Free2move is hiring a Data Engineer for the Pricing Analytics team in a globally focused setting. You will own end-to-end data products, collaborating with Data Scientists to deploy real-time pricing algorithms for millions of users across multiple markets.

You will manage data pipelines, architect scalable systems, and drive ML infrastructure improvements while ensuring robust production-quality code and strong stakeholder communication.

Qualifications

• Degree in CS or related quantitative field.
• Expert SQL and Python coding for complex data transformations.
• Experience modeling enterprise Data Warehouses with dbt (Kimball, dimensional modeling).
• Strong Databricks and AWS cloud experience; Docker/Kubernetes; CI/CD pipelines.

Responsabilités

• Collaborate with Data Scientists to bring real-time pricing algorithms to production for millions of users.
• Own data pipelines within the Pricing Analytics scope.
• Architect and build systems to solve complex data problems.
• Lead design, development, optimization, and productionization of ML solutions.
• Manage the infrastructure hosting the pricing ML system and ensure performance.
• Scale ML infrastructure for model development, training, and deployment.

Connaissances

SQL

Python

Data modeling

Data visualization

Stakeholder communication

English fluency

Formation

Degree in Computer Science / Data Engineering

Outils

Databricks

AWS

Airflow

Docker

Kubernetes

Tableau/PowerBI

Description du poste

Free2move is hiring a Data Engineer for the Pricing Analytics team in a globally focused setting. You will own end-to-end data products, collaborating with Data Scientists to deploy real-time pricing algorithms for millions of users across multiple markets.

You will manage data pipelines, architect scalable systems, and drive ML infrastructure improvements while ensuring robust production-quality code and strong stakeholder communication.