Software Engineer – Data Lab

About the role

Coface's Data Lab, sponsored by members of the Group Executive Committee, brings together software engineering and data science expertise to design, develop and deploy solutions that improve risk management, business processes, products and services. The team has around 50 members, mainly in Paris, Casablanca, Toronto and Bangalore. This role suits someone who combines strong coding skills with technical leadership, owning complex projects and guiding architectural decisions for data management, API development and alternative data sourcing.

Key responsibilities

• Lead technical design and architecture for APIs, data pipelines and integrations
• Ensure code quality through reviews, enforce CI/CD standards and improve development workflows
• Drive data management initiatives, including master data governance and alternate data sourcing
• Work with Data Scientists to integrate models into production systems
• Contribute to technology watch and propose innovative solutions
• Examples of projects: APIs for major international accounts, web scraping and open data sourcing, alternate data for risk models, master data management, end-to-end AI solutions, knowledge graphs and financial modelling and simulations

Required profile

• Engineering degree in Software Engineering (or equivalent)
• 2+ years of experience deploying projects
• Strong programming skills, with Python mandatory
• English, as the team works with colleagues worldwide

Required skills

• API design (FastAPI) and data management
• Databases: MongoDB, Neo4j, Elasticsearch, Redis, Apache Airflow
• DevOps: Kubernetes, CI/CD, Kibana, Grafana
• Nice to have: Linux administration, cloud deployment and IaC (AWS, GCP), front-end frameworks (React, Angular, Vue.js), data science libraries (Pandas)

What we offer

• Hybrid working model after the first month
• A central, modern office
• Annual budget for training, languages and e-learning, plus a dedicated development program
• Career opportunities locally and internationally in a large global company