Data Engineer

🕒 August 21

🌐 France, Spain, +1 more countries – Remote

🇫🇷 France – Remote 🇪🇸 Spain – Remote 🇮🇹 Italy – Remote

💵 €50k - €60k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

🚰 Data Engineer

👻 Ghost score 0%

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Free2move

WebsiteLinkedInAll Job Openings

201 - 500 employees

📦 Logistics

🚘 Automotive

🏥 Healthcare

Logistics • Automotive • Healthcare

Free2move is a global mobility brand founded in 2016 with the mission to simplify mobility for everyone. Operating primarily in Europe and the USA, the company offers a comprehensive and unique ecosystem of mobility services for both private and professional customers. These services include car-sharing, rental options for various durations, VTC driver reservations, parking space reservations, and charging station access. Free2move also provides fleet management solutions and supports the transition to electric mobility with products like charging infrastructure and Vehicle-to-Grid technology. With a customer base of 2 million users, the company is a leader in the e-mobility sector, featuring 450,000 rental vehicles and 250,000 charging points, with operations in 170 countries.

📋 Description

• Own the full lifecycle of data products and act as a technical leader • Collaborate closely with Data Scientists to bring real-time pricing algorithms to production for millions of users • Take full ownership of data pipelines within the Pricing Analytics scope • Architect and build systems for highly complex or vaguely defined problems • Lead the design, development, optimization, and productionization of ML and ML-based solutions with cross-functional stakeholders • Manage the infrastructure on which the Pricing algorithm runs • Take responsibility for the performance of the pricing ML system • Lead cross-team efforts to leverage and scale ML infrastructure for model development, training, and deployment • Write well-crafted, well-tested, readable, and maintainable production-quality code

🎯 Requirements

• Degree in Computer Science, Data Engineering, Software Engineering, or a related quantitative field • Expert-level proficiency in SQL and Python • Clean, modular, optimized code for complex data transformations • Significant hands-on experience modeling enterprise Data Warehouses using dbt, including Kimball methodology, dimensional modeling, star schemas, data testing, and data lineage • Strong experience with Databricks ecosystem, including Delta Lake, PySpark, Unity Catalog, SQL Endpoints, and Serverless compute • Strong experience with AWS cloud infrastructure, including S3, IAM, KMS, and DataSync • Solid experience writing and orchestrating complex production DAGs using Apache Airflow or MWAA • Experience managing deployments with Docker and Kubernetes • Experience with CI/CD pipelines, Git, GitHub Actions, and Terraform • Hands-on experience building, optimizing, and maintaining enterprise dashboards using Tableau, PowerBI, or Databricks SQL Dashboards • Experience leveraging AI tools such as Claude and Databricks AI features • Solid understanding of GDPR requirements, PII masking, access control policies, data retention, and auditing via Unity Catalog • Analytical mindset and ability to translate complex business requirements into scalable data marts and KPI metrics • Ability to communicate complex technical concepts clearly to business stakeholders and domain teams • Fluency in written and spoken English

🏖️ Benefits

• 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 • Access to an E-Learning platform for the development of languages and other skills