Central European insurance group scaling compliance, underwriting automation, and AI across 14 markets
UNIQA is a major insurance operator across Austria and Central/Eastern Europe with 17 million customers and a public-market presence. The tech stack reveals a traditional enterprise insurance architecture—SAP, Pega, SAS, RPA—paired with modern data and monitoring tools (Databricks, Dynatrace, Splunk, Power BI). Active projects around AI agent development, automated underwriting, and omnichannel transformation, combined with hiring acceleration in sales and mid-senior product/data roles, suggest a push to modernize underwriting speed and cross-market operational transparency while managing regulatory complexity across 14 jurisdictions.
UNIQA is Austria's second-largest insurance group by market share, operating in 14 countries across Austria and Central/Eastern Europe (CEE). The group serves over 17 million private and corporate customers through in-house teams and exclusive sales partners. Core operations span property, liability, and specialty lines supported by SAP, Pega, and RPA platforms. Current organizational focus includes portfolio transformation, omnichannel distribution for retail products, regulatory compliance across multiple jurisdictions, and emerging automation in underwriting and AI agent capabilities. Active hiring across sales, product, data, and engineering reflects expansion and modernization initiatives.
UNIQA operates in Austria (headquarters) and 13 CEE markets: Bosnia and Herzegovina, Bulgaria, Croatia, Montenegro, Poland, Romania, Serbia, Slovakia, Czechia, Ukraine, Hungary, plus Switzerland and Liechtenstein. Active hiring is underway in Austria, Bulgaria, and Poland.
UNIQA's core platforms include SAP (ERP), Pega (case management/underwriting), SAS and Python (analytics), Databricks (data), RPA and KNIME (automation), Power BI and Tableau (reporting), and Dynatrace/Splunk (monitoring). Azure and Microsoft 365 handle identity and security.
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UNIQA Insurance Group'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 →
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