Basé sur 450 offres pour ce poste (tous niveaux, France, 3 dernières semaines). Fourchette habituelle 42k€–53k€, médiane 47k€. Cette offre (60k€) est au-dessus de la fourchette.
Cette offre n'affiche pas de TJM. D'après 117 offres pour ce poste (tous niveaux, France), le marché se situe autour de 475€/j (440€/j–535€/j).
TJM du marché pour Data Engineer en France : médiane 475 €/jour, P25–P75 : 440–535 €/jour, n = 117 offres. TJM Python
Salaire du marché pour Data Engineer en France : médiane 46 500 €/an, P25–P75 : 42 000–52 500 €/an, n = 450 offres. Salaire Python
Baromètre TJM et salaires ITAt Free2Move, data science and analytics are at the very core of our products and decision-making. Our analytics team tackles a wide range of impactful topics-from influencing key business decisions and optimizing operations, to putting the algorithms that govern critical aspects of our products into production.
You will be joining our dedicated Pricing Analytics team, which takes charge of all topics related to pricing.
We deeply understand pricing dynamics and use this expertise to build and improve Machine Learning algorithms that define our pricing in real-time.
Your Next Missions As a Data Engineer in our team, you will own the full lifecycle of data products and act as a technical leader.
Your responsibilities will include:
Collaborating closely with Data Scientists to bring state-of-the-art, real-time pricing algorithms to production for millions of users.
Taking full ownership of the data pipelines within the Pricing Analytics scope.
Architecting and building the right systems to solve highly complex or vaguely defined problems.
Engaging with cross-functional stakeholders to lead the design, development, optimization, and productionization of ML and ML-based solutions.
Managing the infrastructure on which our Pricing algorithm runs and taking responsibility for the performance of the pricing ML system.
Leading cross-team efforts to leverage and scale our ML infrastructure for model development, training, and deployment needs.
Writing well-crafted, well-tested, readable, and maintainable production-quality code.
Who You Are & What You Bring We believe in team success over individual achievement and foster a highly collaborative environment. To thrive in this role, you bring:
Education: A degree in Computer Science, Data Engineering, Software Engineering, or a related quantitative field.
Coding Expertise: Expert-level proficiency in SQL and Python, with a strong track record of writing clean, modular, optimized code for complex data transformations. (Note: Previous experience as a Data Scientist is a strong plus!)
Data Modeling: Significant hands-on experience modeling enterprise Data Warehouses using dbt (including Kimball methodology, dimensional modeling, star schemas, data testing, and data lineage).
Cloud & Big Data: Strong experience with the Databricks ecosystem (Delta Lake, PySpark, Unity Catalog, SQL Endpoints, Serverless compute) and AWS cloud infrastructure (S3, IAM, KMS, DataSync).
Orchestration & DevOps: Solid experience writing and orchestrating complex production DAGs using Apache Airflow (or MWAA), managing deployments with Docker/Kubernetes, and working with CI/CD pipelines (Git, GitHub Actions, Terraform).
Data Visualization: Hands-on experience building, optimizing, and maintaining enterprise dashboards using Tableau, PowerBI, or Databricks SQL Dashboards.
Modern Workflows: A habit of actively leveraging AI tools (like Claude and Databricks AI features) to accelerate pipeline creation, automate dbt documentation, and write smart PR review guardrails.
Compliance & Security: A solid understanding of GDPR requirements, including how to enforce PII masking, access control policies, data retention, and auditing via Unity Catalog.
Mindset & Communication: An analytical mindset capable of translating complex business requirements into scalable, bulletproof data marts and KPI metrics. You prefer simple, efficient, well-tested code over fragile architectures. You can also communicate complex technical concepts clearly to business stakeholders and domain teams (Pricing, Customer, Advanced Analytics).
Languages: Fluency in English (written and oral) is required to work effectively in our international context.
Working at Free2move means becoming part of a tribe in which the culture of performance rhymes with a good atmosphere. It is also:
A start-up spirit supported by a large Group
The opportunity to revolutionize the uses of mobility with us!
A neat integration to start well
Lots of possibilities for development
Collaboration with multidisciplinary and international teams
International projects to perfect your background!
An access to our E-Learning platform 📚 :for the development of languages and other skills...This list is not exhaustive...
Location : France, Spain or Italy
Package :
Annual gross salary package depending of your experience: +/- 50/60K€
What is Free2move's purpose? Simplify the mobility of everyone!
Free2move is the only global mobility brand that offers a complete and unique ecosystem for its private and professional customers around the world and specifically in Europe and USA. Relying on data and technology, Free2move puts the customer experience at the heart of the business to reinvent mobility and facilitate the transition to E-mobility. As a real marketplace for mobility, the company offers a range of products and services ranging from car-sharing to short, medium or long-term rental, including the reservation of VTC drivers, parking spaces and charging stations via the app, as well as support solutions towards the energy transition or even fleet management for professionals.
Finally, Free2move designs, develops, produces and distributes electric mobility products and services ranging from charging infrastructure, monthly subscriptions, battery life cycle management to the integration of Vehicle-to-Grid technology (V2G). Free2move in figures is: 2 million users, 450,000 rental vehicles, 500,000 parking spaces, 250,000 charging points in Europe, 620,000 business contracts and a presence in 170 countries.
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