Ovoko operates a used-parts marketplace spanning multiple European markets, built on a modern data stack (Snowflake, Databricks, dbt, Kafka, Flink, Spark) that signals heavy investment in real-time analytics and event streaming. The hiring velocity is accelerating with a distributed engineering and sales presence across Poland and Lithuania—a footprint suited to the fragmented, offline-heavy automotive salvage industry they're working to digitize. Active projects show they're moving beyond simple resale into supply-chain standardization (quality grading, seller lifecycle, scrapyard operations), while the pain-point mix (process controls, advanced analytics, regional expansion) indicates they're scaling operations across heterogeneous partner networks.
Tech Stack 58 technologies
What Ovoko Is Building
◆Challenges
- Fragmented industry still largely offline
- Scaling data platform
- Modernizing data architecture
- Unlocking advanced analytics
- Acquiring new partners
- Process controls
- Expanding presence in german and austrian automotive market
- Maintaining high customer satisfaction
- Managing returns and disputes
- Reducing seller defects
▲Active Projects
- Quality standards implementation across european sellers
- Partnership development with software providers for car dismantlers
- Commercial experiments to drive regional gmv growth
- Embedding company culture and values
- Scalable scrapyard engagement model
- Supplier lifecycle strategy
- Seller and parts grading system
- A/b test design
- Modernizing data architecture and tooling
- Enable data self service
