A vector database, vector store or vector search engine is a database that stores and retrieves embeddings of data in vector space. Vector databases typically implement approximate nearest neighbor algorithms so users can search for records semantically similar to a given input, unlike traditional databases which primarily look up records by exact match. Use-cases for vector databases include similarity search, semantic search, multi-modal search, recommendations engines, object detection, and retrieval-augmented generation (RAG).

Read more on Wikipedia →

1 job · 1 company · last seen 5 June 2026

There are currently 1 open role in Berlin that mention Qdrant, posted by 1 company. It frequently pairs with Python, SQL, Apache Kafka. Seen most in Leadership (1% of their roles).

Frequently asked questions

How many Qdrant jobs are available in Berlin right now?

There are currently 1 open role in Berlin that mention Qdrant, posted by 1 company. The board is refreshed multiple times a day — more frequently during Berlin working hours — so new roles can appear throughout the day.

Which companies in Berlin are hiring for Qdrant?

Companies currently listing the most Qdrant roles include: JTL-Software.

What skills pair well with Qdrant?

Employers who ask for Qdrant also frequently require: Python (100%), SQL (100%), Apache Kafka (100%), RabbitMQ (100%), Azure (100%).

In which Berlin job roles is Qdrant most in demand?

Based on current listings, Qdrant appears most in: Leadership (1%) roles.