Data Platform Engineer

Overview

Company Description

Depop is a peer-to-peer circular fashion marketplace where anyone can buy, sell and discover secondhand fashion. Our mission is simple: to make fashion circular by making secondhand as exciting and rewarding as buying new.

Founded in 2011, Depop’s diverse community has helped move resale into the mainstream, where buying secondhand is no longer an alternative, but how people of different ages now engage with fashion. Today, more than 56 million registered users come to Depop to find great value, express their own personal style and give clothes a longer life. We believe that everything you want already exists, and our role is to help people discover it.

Powered by a team of over 500 people, our company is headquartered in London, with offices in New York. In 2021, Depop became a wholly-owned subsidiary of Etsy - the global marketplace for unique and creative goods - and continues to operate as a standalone company. For more information, visit www.depop.com

We aim to create an inclusive environment where everyone is welcome, no matter who they are or where they’re from. Just as our platform connects people globally, we believe our workplace should reflect the diversity of the communities we serve. We thrive on the power of different perspectives and experiences, knowing they drive innovation and bring us closer to our users.

We’re proud to be an equal opportunity employer, providing employment opportunities without regard to age, ethnicity, religion or belief, gender identity, sex, sexual orientation, disability, pregnancy or maternity, marriage and civil partnership, or any other protected status. We’re continuously evolving our recruitment processes to ensure fairness and are open to accommodating any needs you might have.

AI Disclosure: We use AI tools (Google Gemini) to help our team source and review applications for roles with a high volume of applications. These tools assist our recruiters in identifying great talent but do not replace human decision-making. At Depop, every hiring decision is made by a human.

If, due to a disability, you need adjustments to complete the application, please let us know by sending an email with your name, the role to which you would like to apply, and the type of support you need to complete the application to adjustments@depop.com .

Role

We're hiring a Data Engineer to work on the Data Platform at Depop. This team owns Kafka and streaming infrastructure, the bronze data lake layer, and event tracking and sessionisation and is building out the next generation of streaming frameworks that will underpin how the rest of the business ingests and processes data.

This role sits within the Data Enablement and you'll partner closely with Data Infrastructure and Analytics Engineering on the boundary between Bronze and Silver, and with ML and Insights, who depend on low-latency streaming data for features and experimentation.

Responsibilities

• Build and maintain services in our Kafka Connect and streaming pipeline, including the kafka-forwarder and changelogs-processor, under the guidance of senior engineers.
• Contribute to extending the bronze streaming layer across Depop's growing table catalogue, working from well-scoped tickets through to production rollout.
• Help implement data contracts and freshness checks on streaming datasets, and build the quarantine/alerting that keeps bad data out of downstream consumers.
• Take part in the team's support rota, helping other teams onboard new events and troubleshoot streaming issues.
• Write clear documentation and contribute to design discussions, growing your judgement on trade-offs like latency vs completeness and cost vs freshness.
• Pair with senior engineers on more complex pieces of the streaming framework work, building towards owning larger pieces of it yourself.

As a Data Engineer, you can expect to: