Careers at Coface

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 · Diplôme d’Ingénieur ou équivalent et expérience dans un rôle de lead technique · Au moins 2 ans en développement d’application Python avec des standards de qualité élevés et la mise en œuvre de bonnes pratiques de revues de code et d’intégration continue. · Autonomie, curiosité, travail en équipe et partage des connaissances · Communication en Anglais (projets dans des contextes internationaux) Compétences souhaitées : · Connaissance de l’écosystème Python et des librairies de Data Science · Mise en œuvre de chaîne CI/CD et déploiement Docker/Kubernetes · Déploiement d'application dans le cloud et infrastructure-as-code · Utilisation de bases SQL et NoSQL (MongoDB, Neo4j, ElasticSearch, Redis…) · Programmation front-end (React ou Angular ou Vue.js…) · Administration Linux 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.) Additional Information Recruitment process : Technical interview (video), including a review of the candidate's professional background — estimated duration: 1 hour Technical assessment in Python and DevOps without AI assistance, preferably in our offices — estimated duration: 3 hours Interview with the human resources department — estimated duration: 45 minutes Job offer Hybrid position Remote Work Benefits All our employees benefit from 3 days of remote work per week and a maximum monthly subsidy of €30. Employees receive vouchers worth €12 for each day of remote work. Language Training Depending on the type of employment contract, Coface provides employees with access to an e-learning platform dedicated to learning 6 foreign languages. Remote Work Equipment An equipment allowance of €350 for remote work is available to employees, depending on the type of employment contract. Electric Bike Purchase A contribution towards the purchase of an electric bike is available to employees, depending on the type of employment contract.

Rejoignez le Data Office de Coface Au sein de la Direction Business Technology et rattaché(e) au Data Office, vous rejoignez une équipe constituée de 10 personnes et contribuez au développement de solutions innovantes autour de la gouvernance des données, de la qualité des données et de l'intelligence artificielle générative. Vous évoluez dans un environnement international et collaborez avec des experts Data, Architecture, Sécurité et Infrastructure. Vos missions Data Management & Data Governance · Concevoir, développer et maintenir des applications et services en Python. · Automatiser les processus de Data Governance et de Data Quality. · Développer des contrôles qualité, mécanismes de détection d'anomalies et solutions de monitoring. · Concevoir des API et services facilitant l'intégration avec les plateformes Data et BI. · Participer à l'amélioration continue et à l'industrialisation des processus de gestion des données. Intelligence Artificielle & Agentic AI · Développer des assistants IA dédiés aux métiers du Data Office. · Concevoir des solutions Text-to-SQL permettant l'interrogation des données en langage naturel. · Mettre en œuvre des architectures basées sur les LLM et les agents intelligents. · Développer des connecteurs et intégrations via MCP (Model Context Protocol). · Participer à l'industrialisation et au déploiement des solutions IA en production. Profil recherché Diplômé(e) d'une formation supérieure de niveau Bac+5 (École d'ingénieur ou Master 2 en Data ou Intelligence Artificielle) , vous justifiez d'au moins 5 années d'expérience dans les domaines du Data Engineering, de la Data Science ou de l'IA. Ce parcours vous a permis d'évoluer dans des environnements modernes de développement et d'industrialisation reposant notamment sur Git, Docker, Kubernetes et les pratiques CI/CD. Reconnu(e) pour votre autonomie et votre esprit d'équipe, vous faites preuve de curiosité et d'une forte capacité d'analyse. Vous appréciez les environnements innovants et avez à cœur de développer continuellement vos compétences. Vous maîtrisez parfaitement Python et SQL, et disposez de solides connaissances en Machine Learning, LLM, RAG, Agentic AI et Text-to-SQL. Vous possédez également une bonne compréhension des architectures Data, des API REST et des environnements Data Warehouse. Doté(e) d'un excellent relationnel, vous êtes capable d'interagir efficacement avec des interlocuteurs variés, tant métiers que techniques. Votre niveau d'anglais professionnel vous permet d'évoluer aisément dans un contexte international. Une première expérience dans le secteur bancaire ou assurantiel serait appréciée. Informations complémentaires 2 Entretiens technique, incluant une revue du parcours professionnel du/de la candidat(e) — durée estimée : 2 heures Entretien avec le service des ressources humaines — durée estimée : 45 minutes Présentation d’une proposition d’embauche Hybrid position Remote Work Benefits All our employees benefit from 3 days of remote work per week and a maximum monthly subsidy of €30. Employees receive vouchers worth €12 for each day of remote work. Language Training Depending on the type of employment contract, Coface provides employees with access to an e-learning platform dedicated to learning 6 foreign languages. Remote Work Equipment An equipment allowance of €350 for remote work is available to employees, depending on the type of employment contract. Electric Bike Purchase A contribution towards the purchase of an electric bike is available to employees, depending on the type of employment contract.

Platform Golden Path: Build the golden path that will allow us to add new micro-services to our stack in a matter of minutes. Improve existing automations (pipelines, IaC) to be able to release more often, with more confidence. Migrate legacy pipelines. Enhance the developper workstation build our agentic platform providing AI capabilities to our clients Reliability SRE practice: Improve dashboarding and alerting using Instana / Grafana. Help reduce toil by automating responses to recurrent requests. Run the platform: Shared incident response, platform maintenance on the various components. Day-to-day support for 8+ development teams. Must have: 5+ years in DevOps, platform or SRE roles, including real production ownership. Kubernetes in depth. Workload scheduling, resource requests and limits, probes, disruption budgets, security contexts, ingress, and the ability to debug a failing rollout. Helm and Kustomize. You have designed a chart that other teams depend on, and lived with the consequences. Or you have built Kustomize bases and overlays that several applications deploy from. CI/CD pipeline engineering at scale. GitLab CI is strongly preferred. The transferable part is having built shared, versioned pipeline abstractions used by many repositories. Docker image authoring: multi-stage builds, small non-root images, build caching, registries. Infrastructure as code. Terraform and Ansible: roles and modules you wrote and maintained. Automation in Python, Bash or other languages. Clean, tested, reviewable code. Part of this platform is Python / Bash scripting, and it is held to the same standard as application code. Observability fundamentals. Metrics, logs and traces, how to use them, how to troubleshoot an app misbehaving. Git and code review as a discipline. Trunk-adjacent branching, conventional commits, small reviewable changes. Strongly desirable: HashiCorp Vault and secret management patterns in Kubernetes. Prometheus and Grafana as an author: PromQL, recording rules, dashboards as code. Supply-chain security: SBOM generation, CI checks. Kafka operations (topics, ACLs, consumer lag) and enough SQL, Oracle and MSSQL to be useful during an incident. Jenkins pipelines knowledge. Experience supporting Java / Spring Boot and Angular delivery specifically. Working effectively with AI coding tools on real infrastructure code, as an accelerator you keep under review. Experience defining and operating service level indicators (SLIs), service level objectives (SLOs) and alerting strategies. What We Offer Involvement in a strategic, innovation-focused project with strong business impact Exposure to modern technologies and cloud-based architecture Cross-border collaboration with teams in CER countries A supportive and agile working environment Opportunities for growth and development in a fast-paced, high-impact area What is it like to work at Coface? This is a hybrid role based in our Bucharest office. We encourage our employees to take care of themselves with things like short Fridays, private healthcare, vouchers – meal, vacation, gift, and more