Brazilian fintech enabling digital accounts, payments, and credit operations at scale
Efí Bank operates a digital financial services platform for SMBs and freelancers in Brazil, with 17 years in payments and 700,000+ customers. The tech stack reveals a data-heavy, cloud-native architecture: Databricks, Snowflake, Redshift, and Apache Spark across AWS compute layers (Lambda, SQS, SNS, EMR), paired with transactional databases (PostgreSQL, DynamoDB, Oracle). Active projects span tax reform compliance, lakehouse architecture, data governance, and credit recovery — indicating the company is simultaneously managing regulatory complexity and modernizing its data platform to handle delinquency management and financial forecasting at volume.
Notable leadership hires: Tech Lead
Efí Bank is a digital account and payments platform headquartered in São Paulo, serving over 700,000 customers across Brazil since 2007. The company operates a full-stack fintech service: digital accounts, credit cards, boleto processing, Pix instant payments, and receivables management, with APIs enabling Open Finance integrations. The organization spans engineering, data, and finance functions, with current hiring concentrated in senior engineering and tech leadership roles, reflecting both product development and infrastructure scaling priorities. Operational pain points center on tax compliance, credit portfolio optimization, and modernizing data infrastructure for real-time financial analytics and fraud prevention.
Efí Bank runs a multi-layer data stack: Databricks and Snowflake for warehousing, Apache Spark and AWS EMR for distributed processing, and Redshift for analytics, all on AWS infrastructure with PostgreSQL and DynamoDB for transactional workloads.
Key initiatives include tax reform implementation, lakehouse architecture modernization, data governance policy definition, ETL/ELT pipeline construction, credit recovery strategy, and collection process optimization.
Efí Bank'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.