This is the foundation role for our intelligence layer. You'll design and build the data architecture that the company's recommendation and personalization work runs on — partnering directly with the AI Engineer who builds the algorithms. They design the model; you make sure the data is there, clean, fast and structured to support it. This is deliberately an individual contributor role, not a lead. We're looking for someone who wants to build.
Data engineer for recommendation systems
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описание
задачи
- Design, build and own the data architecture behind a consumer platform
- Build reliable, performant pipelines that feed production ML and personalisation systems
- Model data so it's genuinely usable — by algorithms and by people
- Work hand-in-hand with the AI Engineer to get the right signals into the right shape
- Make pragmatic architecture decisions in a fast-moving, pre-Series B environment
требования
- Mid-senior Data Engineer with intimate, hands-on knowledge of data architecture — you've made the design decisions, not just implemented someone else's
- Experience supporting production ML or recommendation systems with the data underneath them
- A strong individual contributor who wants to stay hands-on
- AI-native: you use modern AI tooling as a genuine multiplier on your own work
- Comfortable in a small, in-office team where you'll see the impact of your work immediately
- Будет плюсом: Background in travel or a comparable high-volume consumer platform (e.g. TripAdvisor, Booking, Expedia); Experience at a company that scaled through Series B to C/D/E
условия
- Условий в вакансии нет
навыки
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