Custom development and data engineering for financial transformation
Faceel-it is a 51–200-person engineering and data consulting firm built around Java, Python, and modern data infrastructure (Kafka, BigQuery, Apache Beam, TensorFlow, MLflow). The stack reveals active investment in streaming data pipelines and ML model lifecycle tooling, while active projects center on financial digitalization and cloud architecture migration—suggesting the firm is positioning itself beyond traditional custom dev into data-driven financial services transformation.
Faceel-it delivers custom development, data engineering, and financial transformation services to mid-market companies in France. The firm operates across three main pillars: application development (Java, Spring Boot, Vue.js/Angular frontends), data and analytics (BigQuery, Power BI, Microsoft Fabric), and machine-learning model deployment (TensorFlow, MLflow). Core projects include invoice digitalization, financial system modernization, and proof-of-concept AI use cases. The team is mid-seniority-weighted (18 mid-level, 5 senior engineers) with a growing data practice (8 dedicated roles), indicating expansion beyond pure software delivery into analytics and ML services.
Java, Spring Boot, Python, Vue.js, Angular for application development; Kafka, BigQuery, Apache Beam for streaming and data; TensorFlow and MLflow for ML; Kubernetes, Docker for infrastructure; Power BI and Microsoft Fabric for analytics.
Invoice digitalization, financial system modernization, Power BI/Fabric analytics implementations, AI proof-of-concepts, cloud migration to Google Cloud, and new financial application development.
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