Austria's largest banking group serving 18.6M customers across CEE
Raiffeisen Bank International operates one of Central Europe's largest retail and commercial banking networks with 45,000 employees across ~1,500 outlets. The tech stack is heavily anchored in banking infrastructure—SWIFT, SAP S/4HANA, SQL Server, Azure—alongside data-engineering tooling (Databricks, Apache Pulsar, Ray). Active hiring in engineering, data, and finance, combined with projects targeting regulatory compliance (CRR III, ICAAP), transaction monitoring, and pension digitalization, reveals an organization modernizing core systems while managing complex risk and regulatory obligations.
Notable leadership hires: Debt Management Lead, Technical Lead
Raiffeisen Bank International is Austria's leading banking group and a major financial institution across Central and Eastern Europe. The bank operates 18.6 million customer relationships through approximately 1,500 business outlets, with the majority of activity concentrated in CEE markets. As the central institute of the Austrian Raiffeisen Banking Group, it provides banking services and credit solutions to retail and commercial customers. The company is publicly listed on the Vienna Stock Exchange, with majority ownership held by regional Raiffeisen banks and the remainder in free float.
Core banking: SWIFT, SAP S/4HANA, SQL Server. Cloud and data: Azure, Databricks, Apache Pulsar, Ray. Development and ops: Python, Java, TypeScript, Docker, Jira, Confluence, Artifactory. Security and identity: Active Directory, Azure AD, Azure Entra ID.
Vienna, Austria. The bank operates approximately 1,500 business outlets, with the largest concentration of business in Central and Eastern Europe.
Raiffeisen Bank International AG'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.