Depop Tech Stack

Community-powered secondhand fashion marketplace with 43M users

Software Development London, England 201–500 employees Founded 2011 Public Company

Depop operates a mobile-first social commerce platform for buying and selling preloved fashion, now owned by Etsy. The tech stack reveals a data-engineering-heavy organization: Kafka, Databricks, dbt, and Apache Airflow sit alongside ML infrastructure (PyTorch, TensorFlow, Transformers), while active projects center on data contracts, ranking models, and multi-touch attribution. Hiring velocity is accelerating across engineering and data roles, with pain points clustering around search relevance, payment system reliability, and real-time personalization—core challenges for a high-volume marketplace managing both seller trust and buyer discovery.

Tech Stack 26 technologies

Core StackSwift Scala Java Kotlin PostgreSQL DynamoDB Kafka Databricks AWS dbt Apache Airflow Looker PyTorch TensorFlow Python Stripe Kubernetes Datadog Terraform Crossplane iOS Transformers Android Cinder Linkerd Karpenter

What Depop Is Building

◆Challenges

Improving data reliability
Surface relevant results for search
Reducing mean time to detection of data incidents
Scalable payment systems
Secure payment systems
Observable payment systems
Improving search relevance
Complex measurement of paid marketing performance
Show personalized results in real time
Detecting harmful content early

▲Active Projects

Data contracts
Ranking models for depop app
Data observability systems
Measurement roadmap development
Multi touch attribution implementation
Central data models for insights, ml and search pipelines
Data transformation tooling
In-app help and support entry points
Workflows and tooling for customer experience operations
Integrations with third-party support platforms

Hiring Activity

Accelerating70 roles · 35 in 30d

Department

Engineering

Data

Product

Marketing

Ops

Legal

Research

Design

Seniority

Senior

Manager

Mid

Staff

Lead

Company intelligence

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About Depop

Depop is a circular fashion marketplace where users buy, sell, and discover secondhand clothing. The platform has 43M registered users globally and operates as a standalone subsidiary of Etsy since 2021. The company is headquartered in London with offices in New York and approximately 400 employees. The business runs on a mobile-native model (Swift, iOS, Kotlin, Android) with backend services on AWS, PostgreSQL, and DynamoDB. Core infrastructure includes Kafka for event streaming, Databricks and dbt for data transformation, and machine-learning systems for ranking and content moderation. Search relevance, payment system resilience, and real-time personalization are ongoing operational priorities.

HeadquartersLondon, England

Company Size201–500 employees

Founded2011

Hiring MarketsUnited Kingdom, United States

Frequently Asked Questions

What tech stack does Depop use?

Depop's stack spans mobile (Swift, iOS, Kotlin, Android), compute (AWS, Kubernetes, Terraform), data (PostgreSQL, DynamoDB, Kafka, Databricks, dbt, Apache Airflow), ML (PyTorch, TensorFlow, Transformers), monitoring (Datadog, Looker), and payments (Stripe). Scala and Java handle backend services.

What is Depop working on?

Current projects include ranking models for the app, data contracts, data observability systems, multi-touch attribution, central data models for ML and search, measurement roadmap development, and in-app support entry points. Payment system reliability and search relevance are active operational challenges.