Full Stack Data Engineer
- Build rock‑solid data pipelines (batch streaming).
- Shape clean, trusted data models used across the business.
- Define core metrics with product and commercial teams.
- Power self‑serve analytics through well‑designed semantic layers.
- Guarantee data quality with automated tests and rapid incident response.
- A high‑intensity, high‑ownership environment.
- Big swings, fast pivots, and serious learning.
- Direct access to founders and real influence on product direction.
- Hard work, huge impact, zero boredom.
- Strong academic background.
- 5 years of data engineering or similar, owning production pipelines.
- Elite SQL strong data modeling skills.
- Experience working with tools such as LookML or equivalents
- Experience with modern data stack tools.
- Proven ability to build reliable, observable data systems.
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