Business Intelligence Engineer Intern — Ops Excellence
bigblue · Paris ·
- Work mode
- Hybrid
- Seniority
- Intern
- Employment
- Internship
- Category
- Data analytics
- Company size
- 51-200
- Salary
- EUR 1,000 / month
bigblue · Paris ·
E-commerce is booming — but independent brands still struggle to match the seamless logistics of giants like Amazon. At Bigblue, we're on a mission to change that. We help brands by democratizing best-in-class operations: scaling faster while delivering a five-star customer experience.
Since 2018, we've built a tech-driven logistics platform powering 500+ brands — from fast-growing DTC players to global names like MUJI, Aigle, and Cabaïa. With 110+ employees across Paris, Madrid, and London, our proprietary WMS (Warehouse Management System) Atlas, and a network of 7 warehouses across Europe, we're solving logistics challenges that others haven't dared to tackle — making fulfillment faster, smarter, and greener.
Backed by $20+M in funding and trusted by the next generation of e-commerce leaders, we're scaling rapidly — from 10 million orders in 2024 toward ambitious enterprise expansion. The journey ahead is bold, and we're looking for the right partner to help us lead the way.
At Bigblue, data is the backbone of how we operate. Our data infrastructure — built on BigQuery and dbt, surfaced through Metabase — powers every operational decision: from tracking fulfillment performance across 7 warehouses to monitoring carrier service rates in real time. As we scale across Europe, our BI layer needs to scale with us.
The Ops Excellence team is at the heart of this challenge: translating raw warehouse and transportation data into reliable, structured, and accessible intelligence — so our operators, product teams, and executives can act fast and act right.
Location: Paris — 7 rue Caumartin, 75009
Type: End-of-studies internship or gap year (SFE / césure)
Duration: 6 months
Start: ASAP
Bigblue is looking for a Business Intelligence Engineer Intern to join the Ops Excellence team.
This is a highly technical role at the intersection of data engineering and analytics. You won't just consume data — you'll help build the infrastructure that makes it accessible, reliable, and actionable for our entire Ops organization. This is a unique opportunity to work on real-scale, production-grade BI systems in a fast-moving logistics startup.