Senior Software Engineer & Data Integration Lead

Project overview

Senior expert profile in Software Engineering, Data Engineering, and Data & AI Mesh architectures, capable of designing, developing, and industrializing the entire data processing and value chain, from source systems to business and AI consumption services.

Ability to implement Data Mesh principles: data contracts, governance, metadata, lineage, traceability, interoperability, and secure data exposure via APIs and events. Expertise in microservices development, AI agent and MCP connector integration, transactional workflows (Temporal), and Human-in-the-Loop interactions within DWINGS applications. Proven experience in industrialization on OpenShift/Kubernetes, CI/CD practices, DevSecOps, IaC, observability, and API-First, with a strong hands-on development culture and production deployment of complex distributed systems.

Profile sought

Proven expertise in Java, Spring Boot, Python, SQL, Angular, TypeScript, Spark, Kafka, REST APIs, and Event-Driven architectures. Mastery of ETL/ELT pipeline development, batch and streaming ingestion, collection, transformation, normalization, enrichment, goldenization, quality control, and Data Product publication, integrating heterogeneous sources (Oracle, S3, APIs, files, events, and legacy systems).

Work environment

Evolve in a healthy, international, and multicultural work environment, at the heart of the finance sector. This environment fosters collaboration, open-mindedness, and exchanges between profiles from different backgrounds, while allowing for a better understanding of the challenges and specificities of financial businesses. It also offers the opportunity to develop skills, share best practices, and evolve in a demanding, dynamic, and constantly transforming sector.

Project details

• Start: ASAP
• Duration: 3 ans renouvelable
• Remote: hybrid
• Location: Paris, Île-de-France, FR
• Languages: French