Data Engineer

Аналитика рынка

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Бесплатно. Вход по почте.

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Описание

LoopMe is an AI company solving one of advertising’s hardest problems: making brand advertising actually measurable, and making it perform. Our platform runs patented machine learning models across billions of consumer signals in real time, optimising campaigns toward outcomes like purchase intent, brand lift, and foot traffic rather than proxy metrics like clicks. The result is 2–5x better performance than industry benchmarks, at scale. We operate a high-load programmatic infrastructure, processing millions of ad requests per second with sub-200ms response times globally. This isn’t a layer on top of someone else’s stack; it’s built from the ground up, in-house, by the team you’d be joining. Founded in 2012 and headquartered in London, we now have 400+ people across 19 cities and have sustained 40% revenue CAGR since 2018. The engineering problems here are real, the ownership is genuine, and the scale is significant. The opportunity You own the build and ongoing maintenance of our internal data lakehouse, giving our users the data they need to make better-informed, data-driven decisions. Today our data lives across BigQuery, Clickhouse, Postgres, and Elastic Search, and internal users rely on product reporting or ad hoc extracts in Rill, Tableau, and Looker. What you’ll do Own the build and maintenance of our internal data lakehouse. Partner with our Product team to identify the core platform data that Finance and Business Development need. Analyse and organise raw data from

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