Direct pojišťovna is a Czech insurer built on a customer-first model, now executing a data modernization effort centered on Databricks, dbt, and SQL-based analytics. The company is actively migrating data transformations to a new core system while designing data structures for pricing and risk modeling — a pattern that signals movement from legacy batch processes toward dynamic, market-responsive underwriting. Concurrent hiring across data, product, and design suggests a shift from pure distribution toward building internal analytics and pricing capabilities.
Direct pojišťovna is an insurance company based in Brno, Czechia, founded in 2015 and serving customers across motor, accident, travel, property, liability, and home insurance products. The company operates with 201–500 employees and positions itself as a customer-transparent alternative to traditional insurers, emphasizing clarity in communication and pricing. Current operational focus spans customer journey optimization across digital channels, claim resolution workflows, and the underlying pricing and risk infrastructure that supports market-responsive underwriting.
The company runs on PostgreSQL and SQL Server for databases, Databricks for analytics and data transformation, and dbt for data modeling. Marketing and performance tracking rely on Google Ads, Meta Ads, Bing Ads, and Google Analytics 4. Design work uses Figma.
Current projects center on modernizing data infrastructure, migrating data transformations to a new core system, and designing pricing and risk models using dbt and Databricks. Broader initiatives include digitalization of the insurance market and optimization of customer journeys across online channels.
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