Original listing text, shown exactly as published by the company.
🚀 The role
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.
✍️ Our data challenges
- Data pipeline development: Design, build, and maintain data pipelines that consolidate and transform raw warehouse and operational data into clean, structured datasets ready for analysis — using SQL, dbt, and our BigQuery data warehouse.
- Dashboard & reporting infrastructure: Develop scalable BI solutions — datasets, reports, and Metabase dashboards — that give our Ops teams real-time visibility into fulfillment KPIs, warehouse performance, and service levels.
- Data modeling & schema design: Create and manage data structures that are robust, well-documented, and easy for analysts across teams to use — applying best practices in schema design and data governance.
- Automation & process improvement: Write secure, maintainable code that automates recurring reporting tasks and frees our analysts to focus on higher-value work. Identify opportunities to replace manual processes with scalable, engineered solutions.
- Data quality & reliability: Troubleshoot data and pipeline issues, propose solutions, and take ownership of resolutions — ensuring that the numbers our teams rely on are always accurate and up to date.
🙌 Your profile
- Student in year 4 or 5 of an engineering school, computer science, statistics, or equivalent program
- Strong SQL skills — able to write complex queries, optimize for performance, and model data from scratch
- Familiarity with data engineering tools and concepts: dbt, BigQuery, ETL pipelines, data modeling
- Experience with BI and visualization tools (Metabase, Looker, Power BI, or similar)
- Python or another scripting language is a strong plus
- You think in terms of systems: you care about code quality, reusability, and long-term maintainability
- Curious and rigorous — you go deep to understand the data before trusting it
- Comfortable in a fast-paced, startup environment with evolving requirements
- Fluency in English and French
