Begear operates a dual-model business: talent sourcing and training (rooted in a school-based operation) paired with IT consulting and body rental for multinational clients. The tech stack is heavily weighted toward enterprise platforms—SAP (PM, FI, MM, SD, CO, S/4HANA) and Dynamics 365 (CRM, F&O)—with supporting Java/Spring Boot, C#/.NET, and Kafka infrastructure. Active projects center on D365 customization and SAP configuration; hiring velocity is accelerating with 6 engineering roles posted in the last 30 days, mostly mid-level, signaling rapid project delivery scaling.
Founded in 2010 and headquartered in Naples, Begear consolidates two legacy businesses: a formal IT training school (Jackson School) and an IT consulting firm (BPS). The company recruits, trains, and certifies junior talent through structured assessment, classroom learning, and on-the-job mentoring, then deploys them as consultants or full-time staff to multinational IT clients. Begear handles end-to-end project delivery and staff augmentation across SAP and Microsoft Dynamics 365 ecosystems. The company employs 201–500 people and operates exclusively within Italy.
Begear's core stack centers on SAP modules (S/4HANA, PM, FI, MM, SD, CO) and Microsoft Dynamics 365 (CRM and F&O), with Java/Spring Boot, C#/.NET, Kubernetes, GitLab, Kafka, Splunk, and Dynatrace for development and monitoring. They are currently adopting React.
Primary projects include Dynamics 365 CRM customization and plugin development, D365 F&O configuration and optimization, and SAP implementation work. Internal challenges center on delivery pipeline security, deployment automation, and managing multiple concurrent client engagements.
BEGEAR's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.