Senior Business Intelligence Engineer, EU Stores CX Analytics & Automation

Are you passionate about using data to create shopping experiences that feel genuinely personal Were 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 youll sit at an exciting intersection of business intelligence data engineering and data science. Youll build on top of Amazons 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 youll develop custom models using Python and Spark to understand customerproduct affinity at scale applying techniques like embeddings modelling and customer persona matching to power EU-specific personalisation strategies built on top of Amazons global recommendation infrastructure. On the engineering side youll 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: youll 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.

Youll 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 dont 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 thats a new AWS service an emerging data science technique or an internal platform theyve never touched before. And theyre 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 wed love to hear from you.

Key job responsibilities
- 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 Amazons 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 Amazons 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

About the team
We are the EU Stores Customer Experience Analytics & Automation team simultaneously a product team a data science team and a customer analytics team. Our mission is to transform Amazons vast selection into curated personalised shoppable experiences that help customers find products theyll love.

The BIE function sits at the technical core of that mission. We build the data primitives automation systems and self-service platforms that make personalised discovery at scale possible. Where global teams provide foundational building blocks we build orchestration layers on top composing capabilities into workflows tailored to EU requirements. Where gaps exist we close them. Where central solutions mature we converge and evolve.

Our work spans three areas: data models and pipelines powering personalised recommendations across EU10; production applications used by hundreds of marketing stakeholders daily built with Python React Lambda FastAPI and CDK; and CX analytics across search detail page and marketing that tells leadership whether its working. We write production code design systems others depend on and analyse data that shapes strategic decisions. If you want to do serious work at the intersection of data product and customer experience this is the place.

- 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

- Experience building machine learning models or developing algorithms for business application
- Experience working on and delivering end to end projects independently
- Experience with designing and building application using AWS services such as Lambda AWS Elastic Beanstalk Kubernetes
- Experience in data applications using large scale distributed systems (e.g. EMR Spark Elasticsearch Hadoop Pig and Hive)

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