Data Engineer

This is a fully remote position, open to applicants in France, +2 more countries.

📋 Description

• Take ownership of the entire lifecycle of data products and serve as a technical leader.

• Work closely with Data Scientists to implement real-time pricing algorithms for millions of users.

• Assume full responsibility for data pipelines within the scope of Pricing Analytics.

• Design and construct systems for complex or vaguely defined challenges.

• Oversee the design, development, optimization, and productionization of ML and ML-based solutions in collaboration with cross-functional stakeholders.

• Manage the infrastructure that supports the Pricing algorithm.

• Ensure the performance of the pricing ML system is optimized.

• Lead cross-team initiatives to utilize and enhance ML infrastructure for model development, training, and deployment.

• Produce well-structured, thoroughly tested, readable, and maintainable production-quality code.

⛳️ Requirements

• Bachelor's degree in Computer Science, Data Engineering, Software Engineering, or a related quantitative discipline.

• Advanced proficiency in SQL and Python programming.

• Ability to write clean, modular, and optimized code for intricate data transformations.

• Extensive hands-on experience in modeling enterprise Data Warehouses using dbt, including Kimball methodology, dimensional modeling, star schemas, data testing, and data lineage.

• Strong familiarity with the Databricks ecosystem, including Delta Lake, PySpark, Unity Catalog, SQL Endpoints, and Serverless compute.

• Significant experience with AWS cloud infrastructure, including S3, IAM, KMS, and DataSync.

• Proven experience in writing and orchestrating complex production DAGs using Apache Airflow or MWAA.

• Experience in managing deployments with Docker and Kubernetes.

• Familiarity with CI/CD pipelines, Git, GitHub Actions, and Terraform.

• Hands-on experience in building, optimizing, and maintaining enterprise dashboards utilizing Tableau, PowerBI, or Databricks SQL Dashboards.

• Familiarity with AI tools such as Claude and Databricks AI features.

• Sound understanding of GDPR requirements, PII masking, access control policies, data retention, and auditing through Unity Catalog.

• Analytical mindset with the ability to translate complex business requirements into scalable data marts and KPI metrics.

• Capability to clearly articulate complex technical concepts to business stakeholders and domain teams.

• Proficiency in both written and spoken English.

🏝️ Benefits

• A start-up spirit backed by a large Group.

• The chance to transform mobility usage alongside us.

• A smooth onboarding process to set you up for success.

• Numerous opportunities for professional growth.

• Collaboration with multidisciplinary and international teams.

• International projects to enhance your experience.

• Access to an E-Learning platform for language and skill development.