Intermediate/Senior Data Engineer, Descartes Underwriting

• Knowledge of the tech stack and demonstrated proficiency in production environments
• Minimum 3 years’ experience in Python object-oriented programming
• Experience converting Python code to efficient data engineering tools
• Production experience with Docker
• Production experience with a cloud provider (GCP, AWS or Azure)
• CI/CD and release pipelines
• Good knowledge in English and fluency in French
• Excellent communication skills, in both formal and informal settings, and in English and French
• Contribute to a rigorous data engineering culture
• Propagate Data Engineer best practices to other tech teams
• Well versed in Agile
• Mentoring junior engineers
• Strong interest with climate issue (it’s not a hoax, many people suffer from it)
• Being comfortable to work alongside corporate insurers (some still wear suits 👔)
• You enjoy CI/CD automation (or at least appreciate the elegance of a well-crafted pipeline)
• Strong team spirit and ability to work (you’ll have to review code and have your code reviewed)
• Rigorous, creative and meticulous mind (we handle large insurance, we take our time)
• Strong desire to learn (there’s no limitation to the tech used, we’re happy to test and learn new tools)
• Eagerness to work in a multi-cultural environment (policies and teams are from all around the world 🗺️)

Desirable

• We are seeking profiles dedicated to data engineering. At the core of the development of our scientific engine modeling climate phenomena, your main missions will be to create, improve and maintain the data pipelines used to train our model and infer the different scenarios to make a climate risk assessment
• You will have to take initiative and assess the viability of proof-of-concept projects
• You will have to work with data scientists and software engineers to run and develop our models. You will be working alongside DevOps engineers to reliably put models in production and selected the compute/store instance needed to perform these tasks
• Your secondary mission will be to automate the flow of information between the tech and business to monitor climate events
• Data pipelines and associated datalakes
• Connections to external and internal APIs
• Associated CI/CD and release pipelines
• Notification tools to inform the team of the status of the operations
• Assessing the pains and needs of the teams
• Benchmarking different solutions
• Assessing the security, price and reliability of data architecture
• Following the development the evolution of technologies on the topic
• Forecasting and tracking cloud spend
• Tech stack evolution
• Discussions with tech partners
• Training of other tech teams
• Support and debug of internal users