Global marketplace for antiques, art, and collectibles from auction houses
Auctionet operates a multi-category auction marketplace aggregating inventory from houses worldwide. The tech stack is lean—PostgreSQL, Python, dbt, Dagster—with a focus on data pipelines (ELT, dbt modeling) and analytics (Metabase), suggesting internal effort to unify disparate auction-house data sources. Hiring is accelerating in logistics and marketing, indicating scaling beyond the core catalog phase.
Auctionet is a Stockholm-based marketplace that sources antiques, art, watches, jewelry, furniture, and design items from auction houses globally and ships them to buyers. Founded in 2011, the company operates both web and mobile channels. The organization spans 201–500 employees across logistics, marketing, data, and support functions. Core operations reflect seasonal demand cycles tied to auction seasons, with active infrastructure work on branch improvements and logistics capacity.
PostgreSQL (database), Python (backend), dbt (data transformation), Dagster (orchestration), Metabase (analytics), and Kubernetes (containerization).
Data infrastructure (ELT and dbt pipelines), marketing material production, branch improvement projects, and logistics optimization during high-volume auction seasons.
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