Software Engineer, Feature Engineering Platform
Wolt - English · Berlin, Germany
What this role requires
One requirement, read out of the advert rather than guessed from the job title:
Also mentioned, not required: SDKs, Spark, Flink, English. Worth having, but their absence is not what gets a CV filtered out.
See how often each of these is required across open backend roles in Europe.
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Job description
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.
About the Role
We're building a new Feature Engineering Platform that will be the front door to ML development at global scale. As a Software Engineer on this team, you'll help build a seamless experience for ML practitioners across the company — from experimentation and exploration to deployment and monitoring.
Our mission is to make machine learning accessible and intuitive without compromising on power or performance. You'll work on a layered platform that supports both high-level declarative workflows and lower-level imperative APIs, all integrated into the environments our users already work in (like notebooks and internal sandboxes).
Read the full description (15 more sections)Show less
What You'll Do
Build and evolve APIs, SDKs, and platform integrations that power feature engineering workflows.
Help shape user-facing tools to make the platform approachable for all skill levels.
Collaborate across the ML lifecycle — from data ingestion to feature serving — and integrate tightly with our central Data Control Plane.
Contribute to platform reliability, testing, observability, and operational excellence.
Qualifications
Solid engineering background, ideally in platform, data, or ML-adjacent teams.
Comfortable working with backend systems, APIs, and ideally some exposure to distributed compute (e.g. Spark, Flink).
Empathy for users and interest in building abstractions that remove friction.
Curious and collaborative mindset — eager to learn from others and contribute broadly.
Experience with ML tooling, or data pipelines is a plus.
Our Commitment to Diversity and Inclusion
We're committed to growing and empowering a more inclusive community within our company, industry, and cities. That's why we hire and cultivate diverse teams of people from all backgrounds, experiences, and perspectives. We believe that true innovation happens when everyone has room at the table and the tools, resources, and opportunity to excel.
Beware of recruitment scams: DoorDash, Deliveroo, and Wolt will never ask you to pay money or share sensitive financial information during hiring — learn more about our legitimate recruiting process at Recruitment Scam Awareness - DoorDash .
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