Senior Business Intelligence Engineer, Amazon

• Experience programming to extract, transform and clean large (multi-TB) data sets
• Experience with theory and practice of design of experiments and statistical analysis of results
• Experience with AWS technologies
• Experience in scripting for automation (e.g. Python) and advanced SQL skills
• Experience with theory and practice of information retrieval, data science, machine learning and data mining
• Experience working directly with business stakeholders to translate between data and business needs
• Experience with SQL
• Experience with data visualization using Tableau, Quicksight, or similar tools
• Experience in the data/BI space

Desirable

• 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 and CDK, and developing APIs with FastAPI
• Analytics sits alongside both: you'll own the baseline reporting and measurement suite for our personalised marketing campaigns, powered by models built across the broader team, and use those insights to deep-dive into customer engagement, quantify the impact of strategies across homepage experiments, storefronts, and seasonal events, and continuously drive improvements that matter
• You'll be joining one of the most forward-thinking intelligence teams in EU retail — and thriving here means bringing more than technical skills
• The right person takes genuine ownership of their domain: they don't wait to be told what to build next, they spot the gap and go after it
• They have a strong appetite for picking up new technologies and getting them into production quickly, whether that's a new AWS service, an emerging data science technique, or an internal platform they've never touched before
• And they're genuinely excited about the pace of change in this space — not just keeping up with it, but staying ahead of it and bringing new ideas to the team
• If that sounds like you, and you want to make a visible impact on how European customers discover products they love, we'd love to hear from you
• Leading the design and delivery of personalised recommendation strategies for EU customers, combining large-scale Amazon retail data, real-time customer signals, and custom models to surface the right products at the right moment
• Developing custom data models using Python and Spark, applying techniques such as embeddings modelling and customer persona matching to power EU-specific personalisation strategies built on top of Amazon's global recommendation infrastructure
• Designing, developing, and maintaining internal tooling and services that enable marketing teams to independently configure and launch personalised campaigns — Python based serverless applications (AWS Lambda) with React front ends
• Owning the baseline reporting and measurement suite for personalised marketing campaigns, building standardised metrics and dashboards (in collaboration with the broader team) to track performance across all channels and surfaces
• Conducting deep-dive analytics to understand drivers of customer engagement and personalisation performance, translating findings into concrete strategic and technical recommendations
• Writing advanced SQL and leveraging big data query engines to extract, transform, and analyse large-scale datasets across Amazon's data ecosystem, forming the analytical foundation for personalisation strategies and campaign reporting
• Partnering and collaborating closely with colleagues across the EU Customer Insights and Analytics team, contributing expertise across the full analytical and engineering stack