Staff Data Engineer
The Data Engineering team is responsible for building ETL pipelines that populate the Internal Data Platform, which drives analytics that he…
About Wolt
At Wolt, we create technology that brings joy, simplicity and earnings to the neighborhoods of the world. In 2014 we started with delivery of restaurant food. Now we’re building the delivery of (almost) everything and you’ll find us in over 500 cities in 30 countries around the world. In 2022 we joined forces with DoorDash and together we keep on dreaming big and expanding across the globe.
Working at Wolt isn’t always easy, but it’s definitely exciting. Here you’ll learn more, build more, and ship more than in most other companies. You’ll be challenged a lot, but also have a lot of fun on the way. So, if you’re a self-starter with drive and entrepreneurial spirit, this could be the ride of your life.
We are looking for a Staff Data Scientist, Marketing to join Wolt’s mission!
About the role
As a Staff Data Scientist supporting Wolt’s Marketing team, you will help shape how we use data to understand, improve, and scale our marketing investments. You’ll work on high-impact questions around growth, efficiency, customer acquisition, and marketing performance across Wolt’s markets.
In this role, you’ll combine deep analytical expertise with hands-on collaboration, working closely with business teams to identify important opportunities, design robust measurement approaches, and guide decisions through data. From uncovering performance drivers to building scalable reporting, experimentation, and monitoring frameworks, you’ll help ensure we are focusing on the right opportunities and investing behind the ideas that truly work.
What you'll be doing
Own marketing measurement: Help improve how Wolt measures paid marketing performance across channels, campaigns, markets, and customer segments.
Turn data into decisions: Analyze marketing performance to identify what is driving growth, where spend is efficient, and where teams should adjust investment or execution.
Improve attribution quality: Develop practical ways to evaluate attribution, understand its
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£45,000 – £60,000 (Glassdoor, Levels.fyi, 2025)
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