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Salary
≈ $93k – $245k per year (Estimated)
Location
Hybrid (Casablanca, Morocco)
Seniority
Middle
Employment
Full-Time

Confirmed on the employer's own hiring board on Nov 1, 2026. First seen by Alion on Jan 27, 2026. SQLI scores B on the Alion truth index.

Overview
Company
Impact
Profile match
SQLI is a French digital services company founded in 1990 that designs and builds commerce and customer experience platforms for international brands. Its work covers business-to-business and business-to-consumer commerce implementations on platforms such as Adobe Commerce, SAP and Salesforce, alongside experience design, digital marketing technology and the integration work connecting those front ends to enterprise systems. Headquartered near Paris, the company operates from offices across France, Belgium, Luxembourg, Switzerland, Spain, Germany, the Nordics, the United Kingdom and Morocco, and was taken private by the investment firm DBAY Advisors in 2023.

We Elevate. Digitally.

SQLI, leader européen de l’expérience client et de la transformation digitale, aide les grandes marques internationales à créer de la valeur grâce à la technologie et à l’innovation digitale. De la stratégie au déploiement des actifs technologiques de nos clients, nous imaginons et construisons des architectures robustes et performantes ainsi que des expériences engageantes en combinant technologies de pointe, méthodologies éprouvées et expertise technologique approfondie.

Afin de renforcer nos équipes (2200 personnes, réparties dans 12 pays), nous recrutons des collaborateurs passionnés et qui partagent nos valeurs : Creative spirit, Commitment, Forward thinking.

Au sein d'une équipe composée de data scientists et de data engineers organisée en mode Scrum Agile, vous travaillerez pour implémenter des outils de calcul de prévision (prévision du besoin magasin pour l’approvisionnement entrepôt, prévision de charge entrepôts etc.).

Dans ce cadre, vous serez amené à :

  • structurer, planifier et coordonner les travaux de l'équipe, en collaborant activement avec les data scientist, le lead data scientist, data analysts, product owner, les équipes métiers et les autres équipes techniques
  • aligner la construction des solutions analytiques & techniques aux enjeux métier et business
  • conseiller, guider, assurer la montée en compétences des différents ingénieurs de l'équipe
  • être garant des méthodologies de science des données et de développement logiciel de l'équipe (facilitant notamment la qualification des sous-projets, les développements itératifs, l'industrialisation des solutions, leur maintenabilité, la mesure et le suivi de leur performance)
  • arbitrer si nécessaire les débats techniques
  • rester attentif aux nouveautés, afin de pouvoir challenger et proposer des solutions si besoin
  • contribuer aux sujets en tant que data scientis
  • Diplômé(e) d’un Bac+5 en école d'ingénieur ou équivalent universitaire avec une spécialisation en informatique, ou justifiant d'une expérience significative équivalente
  • Expérience de plus de 7 ans en SQL / BigQuery, Python, GCP, Git, DBT
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