Pricing Analytics Data Engineer – Real-Time ML

Free2move; Paris; Hybride; EUR 50 000 - 60 000; Plein temps

Avantages offerts par ce poste

Competitive salary (50k–60k EUR)

International projects

E-Learning platform access

Résumé du poste

Free2move is seeking a Data Engineer to own the full lifecycle of data products within the Pricing Analytics team. You will collaborate with Data Scientists to deploy real-time pricing algorithms for millions of users and take ownership of the data pipelines within Pricing Analytics.

You will architect systems to solve complex problems and engage with stakeholders to design, develop, and productionize ML solutions.

Qualifications

• Bachelor’s or master’s degree in a technical field (CS/DE/SE).
• Expert SQL and Python for data transformations and pipelines.
• Experience with enterprise data warehouses and dbt modeling.
• Strong dbt/Kimball dimensional modeling and data testing.
• Proficiency with Databricks, Delta Lake, PySpark, Unity Catalog.

Responsabilités

• Own end-to-end data products lifecycle in Pricing Analytics.
• Collaborate with Data Scientists to deploy real-time pricing models.
• Manage data pipelines and ML infrastructure performance.
• Lead cross-team efforts to scale ML infrastructure for model development.

Connaissances

SQL

Python

dbt modeling

Databricks

AWS

Airflow

Docker/Kubernetes

Tableau/PowerBI

Databricks AI features

GDPR compliance

Communication with stakeholders

Formation

Degree in Computer Science / Data Engineering / Software Engineering

Outils

Databricks

AWS (S3, IAM, KMS)

Airflow / MWAA

Docker

Kubernetes

GitHub Actions / Terraform

Tableau / PowerBI

Description du poste

Free2move is seeking a Data Engineer to own the full lifecycle of data products within the Pricing Analytics team. You will collaborate with Data Scientists to deploy real-time pricing algorithms for millions of users and take ownership of the data pipelines within Pricing Analytics.

You will architect systems to solve complex problems and engage with stakeholders to design, develop, and productionize ML solutions.