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Location
Hybrid (Casablanca, Morocco)
Employment
Full-Time

Confirmed on the employer's own hiring board on Oct 25, 2026. First seen by Alion on Oct 16, 2026. Wepoint scores A on the Alion truth index.

Overview
Company
Impact
Profile match
Wepoint, the new name of the Onepoint group, is a Paris-based consulting and technology services firm that supports businesses and public sector bodies from strategy through technology implementation, with practices in business advisory, IT development, data and AI, cloud and cybersecurity. The group was founded in 2002, grew through acquisitions such as Weave, JBG, Timwi and Nexworld, and employs about 3,500 people across Europe, Tunisia, Morocco, North America and the Asia-Pacific region, with North American offices in New York and Montreal. It hires AI engineers, cloud and DevOps engineers, fullstack developers, data engineers, tech leads and strategy consultants.

Vos nouveaux challenges pour ce poste :

Pour accompagner notre croissance au sein du collectif Maroc, nous recrutons un Data Engineer F/H afin d'accompagner nos clients actuels.

Vous intervenez entre autres sur les missions suivantes :

  • L’audit de configuration cloud de client et des préconisations d’amélioration.
  • Proposition d’architectures data cloud native (GCP)
  • La mise en place d’entrepôts de données massivement scalable avec BigQuery, Redshift, MongoDB, Athena, CloudSQL, Firestore…
  • Le développement de pipelines de traitement de données avec Spark, Dataflow, PubSub, SQS…
  • L’analyse des données et leur mise à disposition de processus de Data science (Machine Learning)
  • L’onboarding de clients sur les bonnes pratiques et la philosophie cloud et devops.
  • La mise en place des bonnes pratiques d’automatisation (CI/CD, GitOps)
  • La conduite du déploiement, de l’intégration et du passage en opération de la solution

Notre écosystème technique (indicatif, variable en fonction des missions) :

  • Architecture Data : ETL, ELT, Dataflow, Spark, Airflow, GCP Workflows
  • Big Data: BigQuery, Firestore, Redshift, Athena, MongoDB
  • Containers & microservices : Docker, Kubernetes, Istio,…
  • Architectures orientées messages : Kafka, PubSub,..
  • Automatisation & Infrastructure as Code (IaC) : Terraform, CloudFormation, Ansible, GitLab, GitHub,…
  • Public Cloud : GCP
  • Langages de développement : Python, Go, Java…

Votre profil et les expertises que vous souhaitez développer :

Vous disposez de plusieurs expériences en tant que Data Engineer, notamment dans la mise en place de pipelines et le traitement automatisé des données. Vous avez une vraie appétence pour les technologies Cloud notamment, et de l’expérience sur GCP. Moteur au sein des équipes, vous êtes naturellement tourné(e) vers la proactivité, le partage et la bienveillance.

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