Amazon
Business Intelligence Engineer, EU Network Flow and Technologies
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Business Intelligence Engineer, EU Network Flow and Technologies
Business Intelligence Engineer II – EU Network Flow Team
Are you interested in a high-impact role with exposure to senior leaders?
The EU Network Flow and Technologies (NFT) team is seeking a Business Intelligence Engineer II with strong analytical and technical skills to independently own end-to-end BI deliverables that drive performance measurement, innovation, and execution in network operations and fulfillment centre flow management.
Operating with minimal guidance, you will refine ambiguous business requirements into actionable specifications and drive loosely structured problems to resolution. You will own analytical datasets, data pipelines, and reporting assets used by NFT, Process Engineering, and EU Central Flow teams, partnering with Amazon Fulfillment Centre Operations, Transportation Services, and data teams to optimise end-to-end network flows.
Key Responsibilities
As a Business Intelligence Engineer II, your responsibilities include:
- Owning end-to-end BI solutions of moderate to high complexity, typically spanning multiple data sources, cross-functional stakeholders, and measurable impact on network performance, cost, or customer experience.
- Translating ambiguous business questions into well-scoped analytical deliverables, recommending alternatives, and anticipating follow-on needs across NFT, Process Engineering, and EU Central Flow.
- Designing and building testable, maintainable, performant ETL pipelines, dimensional datasets, and reporting layers in Redshift, applying CI/CD practices and the right level of complexity to minimise technical debt.
- Making deliberate trade-offs across performance, scalability, cost, and dependencies, and applying basic statistical methods (with a clear understanding of their limitations) to support intraweek capacity management, risk mitigation, and automation across EU fulfillment centres.
- Producing design and usage documentation (architecture diagrams, runbooks, wikis) to support long-term ownership of the assets you build.
- Contributing to team design discussions, scoping, and prioritisation; supporting onboarding, knowledge sharing, and providing informal mentorship to BI Engineer I and junior team members.
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Ideal Candidate
- Strong in complex SQL and query optimisation, dimensional modelling on Redshift, ETL and pipeline development, and dashboarding in QuickSight or Tableau.
- Hands-on with AWS data services (S3, Glue, Lambda, Step Functions, CloudWatch, QuickSight).
- Python proficiency required; JavaScript preferred.
- Excels in translating customer needs into BI solutions, and in mentoring others as the team scales.
A Day in the Life
You’ll start by reviewing network flow metrics across EU fulfillment centres, identifying capacity risks needing immediate attention. Throughout the day, you’ll:
- Partner with operations teams to translate pain points into technical solutions.
- Build ETL pipelines, refine dashboards, and automate manual processes.
- Move between SQL/Python coding sessions, stakeholder meetings, and data quality troubleshooting.
- Present findings to operations managers, then collaborate on pipeline optimisation.
- During peak periods, you’ll balance urgent requests with long-term scalable solutions.
Beyond core responsibilities, you’ll influence the NFT tech roadmap, propose automation initiatives, and shape how the European network uses data for capacity decisions.
About the Team
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The EU Network Flow and Technologies (NFT) team optimises end-to-end network operations across European fulfillment centres, partnering with operations to balance cost, service, and speed. We manage:
- Intraweek capacity and performance.
- Labour across all volume flows.
- Real-time signals, BI analytics, dashboards, and risk management tools to identify defects.
We drive tech solutions and automation as trusted partners to local teams.
Basic Qualifications
- Experience in analysing and interpreting data using Redshift, Oracle, or NoSQL.
- Experience with data visualisation (Tableau, QuickSight).
- Experience in data modelling, warehousing, and ETL pipeline development.
- Experience with statistical analysis packages (R, SAS, MATLAB).
- Python scripting for data processing and modelling.
- Experience developing and presenting recommendations of new metrics for business performance improvement.
- Ability to write complex SQL queries.
Preferred Qualifications
- Experience with AWS solutions (EC2, DynamoDB, S3, Redshift).
- Experience in data mining, ETL, and business data modelling with large-scale datasets.
Amazon is an equal opportunities employer. We value diversity and inclusion and make recruitment decisions based on your experience and skills.
For more information:
If your country/region isn’t listed, contact your Recruiting Partner for assistance.
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
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