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Senior Business Intelligence Engineer – Base location: Madrid or Berlin.
We’re looking for someone passionate about using data to create shopping experiences that feel genuinely personal. You will lead the building and scaling of personalised recommendations for millions of customers across ten European marketplaces.
In this role, you sit at an intersection of business intelligence, data engineering, and data science. You will build on Amazon’s world‑class personalisation infrastructure to consume real‑time customer intent signals, blend them with large‑scale EU retail data and engagement metrics, and apply custom processors and matching models to surface the right product at the right moment. You will design complement strategies that inspire follow‑on purchases, discovery strategies that introduce customers to new categories,
and inspiration experiences that tap into individual browsing and purchase patterns – layered on top of centralised recommendation systems and enriched with EU‑specific intelligence that you build and own.
On the data science side, you will develop custom models using Python and Spark to understand customer‑product affinity at scale—applying techniques like embeddings modelling and customer persona matching—to power EU‑specific personalisation strategies built on top of Amazon’s general recommendation infrastructure.
On the engineering side, you will build and deploy the internal tooling that puts these capabilities directly in the hands of marketing teams – writing production‑grade Python services, building serverless infrastructure with AWS Lambda and CDK, and developing APIs with FastAPI.
Analytics sits alongside both: you’ll own the baseline reporting and measurement suite for personalised marketing campaigns, powered by models built across the broader team, and use those
📌 Senior Business Intelligence Engineer, EU Stores CX Analytics (Madrid)
🏢 Amazon
📍 Madrid
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