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Depop Tech Stack

Community-driven secondhand fashion marketplace with 43M users

Software Development London, England 201–500 employees Founded 2011 Public Company
depop.com LinkedIn

Depop operates a mobile-first social marketplace for buying, selling, and discovering preloved fashion, serving a 43M-person community. The tech stack reflects a data-intensive, AI-forward platform: heavy investment in ML infrastructure (PyTorch, TensorFlow, Transformers, Databricks), streaming data (Kafka, real-time analytics), and ranking systems — with active work on search relevance, product matching, and content detection. Hiring is concentrated in engineering and data roles at senior+ levels, signaling scaling pressure on discovery, personalization, and platform safety.

Tech Stack 29 technologies

Core StackScala Java Kotlin PostgreSQL DynamoDB Kafka Python PyTorch TensorFlow Databricks AWS dbt Apache Airflow Looker Optimizely Workday Swift Stripe Kubernetes Datadog Terraform Crossplane Google Gemini Transformers iOS Android Cinder Linkerd Karpenter

What Depop Is Building

◆Challenges

  • Finance systems integration
  • Data observability
  • Improving data reliability
  • Detecting harmful content early
  • Scaling discovery systems
  • Clearing the path to impact
  • Transition to new erp
  • Rapidly changing regulatory environment
  • Expanding us market
  • Scalable analytics

▲Active Projects

  • Ranking models for app
  • Data contracts
  • Real-time streaming platform scaling
  • Finance systems integration workstream
  • Search relevance improvement
  • Data lake
  • Real-time analytics
  • Product matching models
  • Image embedding services
  • Lightweight classifiers

Hiring Activity

Accelerating40 roles · 20 in 30d

Department

Engineering
17
Data
10
Finance
2
Marketing
2
Ops
2
Product
2
Design
1
Executive
1

Seniority

Senior
21
Staff
6
Mid
4
Junior
3
Manager
2
Director
1
Intern
1
Lead
1

Notable leadership hires: Strategy Director

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About Depop

Depop is a circular fashion marketplace where users buy, sell, and discover secondhand clothing. Founded in 2011 and headquartered in London, the company is a wholly-owned subsidiary of Etsy as of 2021, operating with approximately 400 employees across London, New York, and remote locations. The platform connects buyers and sellers globally through mobile-first experience on iOS and Android, supported by a backend stack built on Java, Scala, Kotlin, PostgreSQL, DynamoDB, and AWS. Core business challenges include finance systems integration (post-Etsy acquisition), data reliability, content moderation at scale, and US market expansion.

HeadquartersLondon, England
Company Size201–500 employees
Founded2011
Hiring MarketsUnited Kingdom, United States

Frequently Asked Questions

What tech stack does Depop use?

Backend: Java, Scala, Kotlin, PostgreSQL, DynamoDB, Kafka. ML/data: PyTorch, TensorFlow, Transformers, Databricks, dbt, Apache Airflow. Infrastructure: AWS, Kubernetes, Terraform, Karpenter. Payments: Stripe. Analytics: Looker. Mobile: iOS (Swift), Android.

What is Depop working on?

Product ranking and matching models, real-time streaming platform scaling, search relevance improvement, data contracts and observability, product image embeddings, content detection, and finance systems integration post-Etsy acquisition.

How this profile is built

Depop'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 →

This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.