At eBay, we're more than a global ecommerce leader — we’re changing the way the world shops and sells. Our platform empowers millions of buyers and sellers in more than 190 markets around the world. We’re committed to pushing boundaries and leaving our mark as we reinvent the future of ecommerce for enthusiasts.

Our customers are our compass, authenticity thrives, bold ideas are welcome, and everyone can bring their unique selves to work — every day. We're in this together, sustaining the future of our customers, our company, and our planet.

Join a team of passionate thinkers, innovators, and dreamers — and help us connect people and build communities to create economic opportunity for all.

About the Team and Role

Depop is a peer-to-peer circular fashion marketplace where anyone can buy, sell and discover secondhand fashion. Depop's 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. From everyday essentials to vintage and designer finds, Depop brings together a wide range of affordable styles in one place. It’s a marketplace where anyone can clear out their wardrobe or build a business, explore their style, and take part in a more circular way to shop.

Powered by a team of over 500 people, our company is headquartered in London, with offices in New York. For more information, visit our News Room here.

We are looking for an experienced Senior Data Engineer to design and build scalable data systems that power critical experiences across eBay.

In this role, you will take technical ownership of complex, high-volume real-time and batch data pipelines, helping shape the architecture and engineering patterns behind our data platform. You will work with technologies including Kafka, Flink, Spark, Databricks, Airflow, dbt, and AWS to solve challenging distributed-data problems where scalability, performance, reliability, and accuracy are critical.

Beyond delivering individual projects, you will help drive technical decisions, identify architectural improvements, establish reusable engineering patterns, and mentor other engineers. You will partner closely with Data Science, Product, Analytics, and Engineering teams to translate complex requirements into scalable production systems.

What You Will Accomplish