Software / Data Engineer, Foodles

• Graduated from an engineering school with at least 3 years of experience in a similar position
• You possess significant experience in backend software development
• You are proficient in several programming languages and are enthusiastic about working with our technology stack
• You are curious and know how to step out of your comfort zone
• You prioritize writing code that is simple, well-tested, and easy to maintain by others
• You are skilled at providing and receiving constructive feedback within the team
• You take full ownership of your projects from conception through to release and ongoing production support
• You are prepared to join a team that primarily operates remotely

Desirable

• Your team's mission is to ensure every customer receives the correct meal by deploying and integrating advanced algorithms developed by the Data Science & Analytics team
• You focus on developing robust and efficient supporting code that facilitates seamless operation of these algorithms in production environments. In collaboration with the Demand Planning team, you also create user-friendly tools that enhance operational efficiency and user experience
• To achieve this mission, your team undertakes the following key activities:
• Build and maintain the data platform: Ensure robust infrastructure for data management and accessibility
• Develop and maintain supporting code for algorithms: Create and sustain the essential codebase that allows algorithms to be effectively implemented in production environments. We prioritize software engineering best practices, ensuring our code is reliable, scalable, and maintainable
• Manage data jobs orchestration: Coordinate and streamline the execution of data processes to optimize workflow efficiency
• Provide clean data ready for analysis: Deliver refined and accurate data to support effective decision-making and algorithm development
• The team’s composition will be the following :
• Two Senior Software Engineers
• Two Data Engineer
• A Product Manager
• The tools that you’ll use on a daily basis are :
• A modern data engineering stack: Dagster, Fivetran, DBT, SnowFlake
• A backend oriented software engineering stack: Python, Django, Odoo, Postgres. Pandas (we do quite a lot of it)
• Top tier solutions to collaborate on our codebase and monitor our production: Github / Circle CI / Codecov / Datadog (logs & APM) / Sentry
• Write and review code with high quality standard
• Monitor the performances of the various pieces of the stack api endpoints, algorithms, data pipelines, datawarehouse and improve those performance if they are not at the suitable level
• Collaborate with the Data Science & Analysis team and the Demand Planning team to craft the roadmap of your team
• Foster a culture of continuous improvement on both technical and organizational matters

• Call with the CTO
• Remote technical test to be completed within 1 hour
• Interview with the CTO, a lead developer, and a developer
• Reference checks