<div class="show-more-less-html__markup show-more-less-html__markup--clamp-after-5 relative overflow-hidden"> <p><strong>Job Title: Data Integration Engineer (Senior)</strong></p><p><strong>Job Location: Geneva, Switzerland (Hybrid – 3 Days Onsite / 2 Days Remote)</strong></p><p><strong>Job Type: Permanent</strong></p><p><br/></p><p><strong>Job Description</strong></p><p>We are looking for an experienced Data Integration Engineer to design, develop, and support enterprise integration solutions within a complex, mission-critical environment. The role involves building scalable integration services, APIs, and data pipelines while enabling seamless data exchange across applications and platforms.</p><p>The ideal candidate will have strong expertise in Python, Hadoop, Java, Kafka, SQL Server, API Management platforms, Openshift, ETL/ELT processes, Event-Driven Architecture, and Microservices. Experience leveraging AI-assisted development tools for coding, testing, automation, and documentation is highly desirable.</p><p><strong>Key Skills &amp; Experience</strong></p><ul><li>6+ years of experience in Application/Data Integration.</li><li>Strong proficiency in <strong>Python and Hadoop (Primary)</strong> and <strong>Java (Secondary)</strong> for integration development.</li><li>Extensive experience with <strong>SQL Server</strong> for data handling, transformation, and optimization.</li><li>5+ years of hands-on experience with <strong>Kafka</strong> for real-time data streaming and messaging.</li><li>Experience developing APIs using <strong>FastAPI</strong> and managing APIs through API Management platforms.</li><li>Strong understanding of <strong>Containerization and Orchestration using Openshift</strong>.</li><li>Experience with <strong>ETL/ELT processes</strong> for data integration and transformation.</li><li>Proven expertise in <strong>Event-Driven Architecture</strong> and <strong>Microservices Architecture</strong>.</li><li>Knowledge of <strong>Enterprise Integration Patterns</strong>.</li><li>Experience designing, implementing, and supporting <strong>mission-critical services</strong>.</li><li>Hands-on experience with <strong>AI-assisted coding, testing, automation, and documentation tools</strong>, including natural language-driven development approaches.</li><li>Practical experience with <strong>Model Context Protocol (MCP)</strong>.</li><li>Strong problem-solving, analytical, and communication skills.</li><li>Experience in the banking or financial services domain is preferred</li></ul><p></p> </div>