$ cat jobs/data-integration-specialist-coface-74896b42cf97.json
Data Integration Specialist
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! About the Role We are seeking Data Integration Specialists to support the integration of data flows in our system. You will work closely with data stakeholders, product teams, and technology partners to deliver trusted, high-quality, and compliant data across the organization. Key Responsibilities Data Mapping & Integration Work internationally with internal and external data providers, handling global data across a range of disparate formats, including APIs and batch processing. Document, develop, and maintain end-to-end data mappings from international third-party providers, integrating their information into our ecosystem. Participate in user acceptance testing and validation of data integration processes Contribute to the standardization of data integrated into the group systems Collaboration with stakeholders Partner with technical teams (business analysts, IT teams) to support effective data integration, and with the business to drive understanding of the data consistent with its use by the business Communicate with data providers, ensuring clarity and comprehensiveness of the data integr