Senior Business Intelligence Engineer, EU Stores CX Analytics & Automation

Benefits

Parental leave

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Market context

Median wage (BLS OEWS)

$111,944 national median

Projected growth (BLS Employment Projections)

+13.7% - Much faster than average

Matched to SOC 15-1252 - Data and ML aggregate by role bucket.

Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.

Schedule

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Weekend work

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About this role

Senior Business Intelligence Engineer, EU Stores CX Analytics & Automation Madrid, Community of Madrid, ESP This position can be based in either Madrid or Berlin. Are you passionate about using data to create shopping experiences that feel genuinely personal? We're looking for a Senior Business Intelligence Engineer to lead the way we build and scale personalised recommendations for millions of customers across ten European marketplaces. In this role, you'll sit at an exciting intersection of business intelligence, data engineering, and data science. You'll build on top of Amazon's world-class personalisation infrastructure - consuming real-time customer intent signals, blending them with large-scale EU retail data and engagement metrics, and applying custom processors and matching models to surface the right product at the right moment. Think 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 - all layered on top of centralised recommendation systems and enriched with EU-specific intelligence that you build and own. This is more than a traditional data role. On the data science side, you'll 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 global recommendation infrastructure. On the engineering side, you'll 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

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