Data Analytics Engineer

TL;DR

Data Analytics Engineer (SQL/Python): Transforming raw data into analytics-ready datasets and building dashboards for product strategy and AI-driven workflows with an accent on data modeling, semantic layers, and performance indicators. Focus on developing agentic analytical solutions, forecasting, statistical analysis, and ensuring reliable insights for stakeholders.

Location: Paris, France (team based in Paris office)

Pay Range: €1,200 - €1,600 per month

Company

Founded in 2012, hirify.global is a French unicorn providing enterprise marketplace solutions, AI-powered multichannel selling, retail media, and agentic commerce infrastructure to global retailers and B2B organizations.

What you will do

• Partner with product and business stakeholders to deliver actionable data products.
• Develop data models and semantic layer documentation for analytics-ready datasets.
• Build and maintain dashboards for critical performance indicators.
• Create agentic analytical solutions for user self-service insights and workflow optimization.
• Drive adoption through training, support, and incident resolution.

Requirements

• 6-month internship starting September 2026
• Pursuing Master's degree (Bac +4/+5) in Data Science, Statistics, Computer Science or related
• Fluent in French and English
• Proficiency in SQL for large dataset manipulation
• Solid data modeling knowledge (star schemas, normalization)
• Experience with forecasting and statistical analysis

Nice to have

• Data visualization: Metabase, Superset, Tableau
• dbt, AI-powered/agentic tools

Culture & Benefits

• Work hard together with collaborative team stand-ups, 1:1s, and all-hands.
• Well-being perks: breakfasts, sports/yoga, after-works, game nights, Gymlib pass.
• Tailor-made onboarding, evolving responsibilities, CSE discounts.
• Swile meal vouchers, 50% transportation costs coverage.
• Modern Paris office near Eiffel Tower.

Hiring process

• CV screening + 20-min AI conversation with Emma (within 3 days).
• Initial recruiter call.
• Case study + debrief with colleagues.
• Values interview with manager (using STAR method).