Amazon EU SARL (UK Branch)
E-commerce
Sr.DataEngineer,EUBooksAnalyticsandEngineering
Neural analysis suggests this role is
optimal for Senior candidates.
“Sr. Data Engineer, EU Books Analytics and Engineering at Amazon EU SARL (UK Branch). Skills: Data Engineering, Data Architecture, ETL Pipelines, Data Modeling. Own and evolve team-level data architecture. Design and build scalable data pipelines”
What You'll Achieve.
Reduce stakeholder dependence on manual BI work; Enable self-service access at scale
Industry & Context.
Break complex problems
What They're Looking For.
Must Have
Experience with data modeling, Experience with warehousing, Experience building ETL pipelines, Experience with SQL, Experience in at least one modern scripting or programming language, Experience mentoring team members
Nice to Have
Experience communicating with users, Experience communicating with technical teams, Experience communicating with management, Experience describing data modeling decisions, Experience describing data engineering strategy, Experience providing technical leadership, Experience mentoring other engineers, Knowledge of distributed systems, Experience building highly available systems, Experience operating highly available systems, Experience building distributed systems, Experience operating distributed systems, Experience with data extraction, Experience with data ingestion, Experience with data processing of large data sets
What You'll Do.
Own and evolve team-level data architecture
Design and build scalable data pipelines
Integrate business signals from diverse sources
Define data models and schemas
Build automated data quality frameworks
Engineer self-service data access
Build measurement infrastructure for business experiments
Drive cost optimization
Drive data governance
Partner with business stakeholders
Partner with cross-functional teams
Translate analytical requirements into data solutions
Contribute to AI Engineering roadmap
Build data backbone for AI applications
Break complex cross-domain problems
Coordinate delivery across contributors
How You'll Work.
Team & Collaboration
Cross-functional teams; Business stakeholders; BI engineers
Communication Scope
Translate analytical requirements
Process & Methodology
Workstreams
Full Job Description
Amazon EU Books serves millions of customers across European markets with one of the world's largest book selections, spanning Kindle, print, and audiobook formats. The EU Books BI and Data Engineering team is transforming from a traditional reporting function into an AI-enabled decision intelligence engine. We are building the data foundation that powers self-service analytics, predictive models, and domain-specific AI applications across the EU Books organization. We are looking for a Data Engineer III to own and evolve the data architecture that supports multiple business domains including Demand, Pricing, Deals, Finance, and EU Books Leadership. You will build the infrastructure layer that connects raw business signals into reliable, governed, model-ready datasets, enabling both operational reporting and the advanced analytics capabilities we are building toward. The current data landscape spans multiple systems, teams, and marketplaces. You will consolidate, govern, and automate it, reducing stakeholder dependence on manual BI work and enabling self-service access at scale. Key job responsibilities - Own and evolve team-level data architecture: ingestion, transformation, storage, serving, and monitoring across multiple EU marketplaces and business domains - Design and build scalable, self-healing data pipelines that integrate business signals from diverse sources (demand, pricing, customer behavior, operational metrics) - Define data models and schemas optimized for both operational reporting and statistical/econometric model consumption - Build automated data quality frameworks that ensure accuracy and reliability for high-stakes business decisions - Engineer self-service data access through metadata-rich catalogs, governed query layers, and dashboard-ready datasets that enable stakeholders to answer recurring questions without BI mediation - Build the measurement infrastructure for business experiments (A/B tests, weblabs), ensuring clean experiment data and
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