Data engineer (f/m/d)
Data Engineer owning the full lifecycle of real-time pricing ML data pipelines, collaborating with Data Scientists and cross-functional teams using Python, SQL, Databricks, dbt, Airflow, and AWS.
- Compensation
- €50K–€60K / yr
- Location
- Paris, FR
- Work setup
- Not specified
- Seniority
- Not specified
- Employment
- Contract
- Experience
- Not specified
- Category
- Data engineering
- Posted
Skills
Must have
- Degree in Computer Science, Data Engineering, Software Engineering, or related quantitative field
- Expert-level proficiency in SQL and Python
- Significant hands-on experience modeling enterprise Data Warehouses using dbt (Kimball methodology, dimensional modeling, star schemas, data testing, data lineage)
- Strong experience with Databricks ecosystem (Delta Lake, PySpark, Unity Catalog, SQL Endpoints, Serverless compute)
- AWS cloud infrastructure experience (S3, IAM, KMS, DataSync)
- Solid experience writing and orchestrating complex production DAGs using Apache Airflow (or MWAA)
- Managing deployments with Docker/Kubernetes
- CI/CD pipelines (Git, GitHub Actions, Terraform)
- Hands-on experience building, optimizing, and maintaining enterprise dashboards (Tableau, PowerBI, or Databricks SQL Dashboards)
- Actively leveraging AI tools (Claude, Databricks AI features) to accelerate pipeline creation and automate documentation
- Solid understanding of GDPR requirements (PII masking, access control policies, data retention, auditing via Unity Catalog)
- Fluency in English (written and oral)
Nice to have
- Previous experience as a Data Scientist
Full description
Created in 2016, Free2move simplifies mobility-related uses by offering a wide range of services to satisfy everyone's 🚘 travel needs.
With Free2move, you can rent a city car for shopping or for your stay in Italy or book a car park during your weekend in Paris... all in one click, on our web/mobile platform! 📲
Born from the merger of the Stellantis Group 🚗 and the start-up TravelCar, Free2move, thanks to its agility and its spirit of conquest has managed to establish itself in just few years as a reference player to revolutionize the mobility of all travellers.
Having become the #1 reflex for more than 6 million users, Free2move operates in more than 170 countries across different continents 🌎 and is available in 30 languages and 26 currencies. 5000 partners trust us and several hundred thousand vehicles are available!
If you want to join a team of +650 experts and bold international projects, then you're in the right place! 🎯
You will evolve in an ultra-dynamic, innovative, agile, internationally-focused structure and integrate our talented teams, full of ideas and motivation and with multidisciplinary skills, at the crossroads of the digital eco-system and the fast-changing automotive sector.
At 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.