Cooperative financial institution serving 367K members across Brazil
UNICRED is a cooperative financial institution with over 36 years of operating history, structured across 25 cooperatives and 372 business units. The organization is actively modernizing its technology foundation: hiring leans heavily toward finance (8 of 20 roles) and engineering (3), signaling concurrent work on regulatory compliance and platform infrastructure. Active projects span medallion architecture pipelines, backoffice microservices, and tax adaptation—indicating a shift away from legacy PB/Java systems toward cloud-native, data-driven operations on Azure and Databricks.
Notable leadership hires: Tech Lead
UNICRED operates as a financial cooperative institution in Brazil, owned and governed by its 367,000 member-cooperados who share in decision-making and financial results. The organization provides a full suite of financial products including deposit accounts, credit lines, financing, investments, private pensions, cards, and insurance. With 4,300+ employees across São Paulo, Florianópolis, Belo Horizonte, and Porto Alegre, UNICRED functions as a member-owned alternative to traditional banks, emphasizing personalized services, fair pricing, and collaborative decision-making. The cooperative structure means members are stakeholders, not customers.
UNICRED runs Google Analytics 4, Salesforce, Kafka, Azure, Docker, Databricks, Python, Power BI, Tableau, and Grafana across analytics, CRM, messaging, and data infrastructure. Mobile products use Firebase and iOS.
UNICRED serves 367,000 cooperados (member-owners) across 25 cooperatives and approximately 372 business units, with 4,300+ employees.
UNICRED'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.