Analytics Engineer, Foodles

• Have strong SQL and data modeling skills with knowledge of modern best practices
• Are autonomous and can effectively organize your workload
• Manage projects with clear communication and take full ownership from design to deployment
• Are not only tech-savvy but also interested in understanding business challenges and data applications
• Write clear, structured documentation and contribute to improving data model documentation
• Are curious, eager to learn, and unafraid to step out of your comfort zone
• Prioritize writing simple, well-tested, and maintainable code
• Are open to giving and receiving constructive feedback within the team
• Are comfortable working in a primarily remote environment

Desirable

• As a leader in our market in Europe, we serve nearly a thousand clients across France and have expanded into the United Kingdom
• As part of the Data Platform team, your mission will be to ensure the accessibility, understanding, and quality of data at Foodles, serving both analytical (BI) and applicative (Data Science) needs
• You will also contribute to the setup and maintenance of tools that leverage this data, from optimizing dispatch decisions for our fridges in coordination with the Supply & Data Science team to managing our Data Warehouse and BI tools
• Build and maintain the data platform: Ensure a robust infrastructure for efficient data management and accessibility
• Provide clean, analysis-ready data: Deliver refined and accurate data to support decision-making and algorithm development
• Develop and maintain algorithm-supporting code: Implement and sustain a reliable, scalable, and maintainable codebase for production environments
• Manage data job orchestration: Optimize and streamline the execution of data processes for improved workflow efficiency
• As an Analytics Engineer, you will be primarily focused on the last mission
• Your role will be to ensure that data from internal and external sources is accurately fetched, well-structured, and accessible for analysis across Foodles
• Your responsibilities will include defining and modeling data in collaboration with business and tech teams, establishing data organization standards, and ensuring overall data quality and comprehension
• You will be part of a dynamic team composed of:
• 1 Tech Lead
• 2 Software Engineers
• 2 Analytics Engineers (including you!)
• Ensure the correctness and robustness of data by implementing necessary tools
• Understand business processes, document data flows, and challenge data quality
• Maintain and optimize existing models and pipelines
• Write and review high-quality, well-tested code
• Propose and implement new best practices and processes to improve the team's efficiency and collaboration

• 30-45 min interview with Jocelyn (Tech Lead) or Lucas (CTO)
• Async tech test (~1h)
• Case study
• Call with Lucas (if the first interview was with Jocelyn)
• Reference check & Lunch at Foodles HQ
• Contact: Aurore BAUDRY, Head of Talent, Employer Brand & Internal Communication – People