
Posted 14 days ago
Software Engineer
AI Summary
Leads technical design and architecture for APIs, data pipelines, and integrations in the Data Lab, ensuring code quality and driving data management initiatives.
About this role
At Coface we make trade happen everyday
Our 5,200 experts representing 80+ nationalities in 58 countries are united by a shared purpose: helping companies navigate through uncertainty by empowering them to make the right decisions and trade smarter in a complex world.
With nearly 80 years of global experience, we offer companies a full range of solutions: Trade Credit Insurance, Business Information, Debt Collection, Single Risk insurance, Surety Bonds, Factoring — all driven by a unique data patrimony, cutting-edge technology, innovation and a deep understanding of the global economy.
Joining Coface means being part of a close-knit international organization, where your ideas matter. We foster a culture of learning, collaboration and inclusion where you are given responsibilities and can see the impact of your actions.
Shape the future of trade with us. Join our Happeners!
Job Description
Directly sponsored by several members of the Group Executive Committee, the Data Lab brings together expertise in Software Engineering and Data Science to design, develop, and deploy operational solutions that improve the company's risk management, business processes, products, and services. The steadily growing team now has around 50 members, mainly based in Paris, as well as in Casablanca, Toronto and Bangalore.
We are looking for a Software Engineer who combines excellent coding skills with technical leadership. In this role, you will own complex projects, guide architectural decisions while building robust solutions for data management, API development, and alternative data sourcing.
Examples of projects you will work on:
- APIs that leverage our data for major international accounts
- Web scraping and open data sourcing in all geographies
- Alternate data sourcing to enrich risk models and business insights
- Improving master data management for better data quality and governance
- End-to-end delivery of AI-powered solutions: from data pipelines to user interfaces
- Building and mining knowledge graphs
- Financial modeling and simulations
Your mission:
- 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
- Collaborate with Data Scientists to integrate models into production systems
- Contribute to technology watch and propose innovative solutions
We are looking for a highly skilled professional with an engineering degree in Software Engineering (or equivalent).
- 2+ years of experience in deploying projects Strong programming skills required (Python mandatory), ideally with exposure to complementary technologies such as ReactJS and Java.
- Expertise in API design (FastAPI), data management, and database integration (MongoDB, Neo4j, ElasticSearch, Redis, Apache Airflow)
- DevOps culture, including production readiness, deployment automation, and monitoring (Kubernetes, CI/CD, Kibana, Grafana)
- English: interactions with teams all around the world
Other appreciated skills :
- Designing high-availability, low latency application architectures
- Familiarity with data science libraries (e.g., Pandas)
- Knowledge of Linux administration
- Cloud application deployment and infrastructure-as-code (AWS, GCP…)
- Front-end programming (React, Angular, Vue.js, etc.)
- Hybrid working model after the first month
- Great place to work: central and modern office
- Opportunities to learn: budget every year for training, languages platform, e-learning platform, dedicated development program…
- Career opportunities: Opportunity to build your career (both locally and internationally) in a large global company, one of the world leaders in its field
- Health care
Skills
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