Intermediate/Senior Data Engineer - Scientific Engine - CDI (Starting November 2025)

Descartes Underwriting; Paris; Hybride; EUR 50 000 - 70 000; Plein temps

Résumé du poste

A progressive insurance technology company based in Paris is looking for an Intermediate/Senior Data Engineer to develop data pipelines for climate risk assessment. The role involves collaboration with data scientists and software engineers, utilizing technologies like Python, Docker, and GCP. Ideal candidates have over 3 years of experience in data engineering and are fluent in English and French. This position offers a competitive salary, bonuses, and a commitment to staff development.

Prestations

Competitive salary

Bonus and benefits

Opportunities for training and seminars

Occasional home-office days

Qualifications

• Minimum 3 years’ experience in Python object-oriented programming.
• Production experience with Docker and a cloud provider.
• Experience converting Python code to efficient data engineering tools.

Responsabilités

• Create, improve and maintain data pipelines for climate risk assessment.
• Collaborate with tech teams for reliable model deployment.
• Automate information flows between tech and business teams.

Connaissances

Python object-oriented programming

Docker

GCP, AWS or Azure

CI/CD and release pipelines

Communication in English

Fluency in French

Outils

Apache Airflow

BigQuery

Cloud SQL

FireStore

Git

Gitlab

Kubernetes

Docker

Description du poste

Overview

Data Software DevOps – Paris (HQ) | Temporarily Remote

Job title

Intermediate/Senior Data Engineer - Scientific Engine - CDI (Starting November 2025)

About Descartes Underwriting

Descartes Underwriting offers a new generation of parametric insurance against climate, cyber and other emerging risks. Utilizing state-of-the-art risk modelling techniques and advanced technology, we collaborate with brokers around the world to protect corporate and public sector clients against natural catastrophes and weather risks.

[e-mail]

About Your Role

We are expanding our Data, Software and DevOps team. 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 work with data scientists and software engineers to run and develop our models and collaborate with DevOps engineers to reliably put models in production. You will also automate the flow of information between the tech and business to monitor climate events.

Key Missions

• Design, setup, and maintain: data pipelines and associated datalakes; connections to external and internal APIs; CI/CD and release pipelines; notification tools for operational status.
• Propose and setup data storage, data processing and data visualization tools: assess team needs, benchmark solutions, assess security/price/reliability, track technology evolution, forecast cloud spend.
• Participate in tech stack evolution, discussions with tech partners, training of other tech teams, and support/debug of internal users.

Tech Stack

• Cloud provider: GCP
• Code versioning: Git + Gitlab
• OS: Windows
• Container: Docker
• Container orchestration: Kubernetes
• Code: Python
• Notification: Slack

Data Stack

• Data types: images, time series, data frames, etc.
• Pipeline orchestrator: Apache Airflow
• Data stores: Cloud SQL, FireStore, BigQuery

In our project, data is collected by sensors (satellite, weather station, IoT). We don’t work with personal or sensitive data; in most cases the data is publicly available (earthquake magnitude, cyclone track, precipitation).

About You

Experience & Qualifications

Hard skills

• Knowledge of the tech stack and production experience
• 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 of English and fluent in French

Soft skills

• Excellent communication in English and French
• Contribute to a rigorous data engineering culture
• Share Data Engineer best practices with other tech teams
• Well versed in Agile; mentoring junior engineers

Nice-to-have

• Experience in data science or scientific computing projects
• Working knowledge of DevOps
• Contributions to an open source project

Mindset

• Interest in climate issues and resilience
• Comfort working with corporate insurers
• Appreciation for CI/CD automation
• Team spirit, code review culture, rigor and meticulousness
• Strong desire to learn and experiment with new tools
• Ability to work in a multi-cultural environment

Why Join Descartes Underwriting?

• Opportunities to learn from teams from prestigious schools and research labs
• Commitment to staff development (seminars, training, etc.)
• Collaborative, professional environment
• International, diverse team
• Purpose-driven company helping clients be resilient to climate risks
• Competitive salary, bonus and benefits; occasional home-office days

We are an equal opportunity employer and value diversity. We are committed to fighting discrimination and promoting equal opportunities. All positions are open to people with disabilities.

Application notes

Contact: [e-mail]