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Location
Hybrid (Casablanca, Morocco)
Employment
Full-Time

Confirmed on the employer's own hiring board on Oct 26, 2026. First seen by Alion on Oct 16, 2026. Onepoint scores C on the Alion truth index.

Overview
Company
Impact
Profile match
Onepoint is a French technology and management consultancy founded in 2002 that positions itself as an architect of digital transformation for large organisations. It works with banks, insurers, public bodies, energy companies and industrial groups across strategy, data and artificial intelligence, cloud and application engineering, and organisational change, and it has expanded internationally through acquisitions including the Canadian firm Nventive. Headquartered in Paris and employing several thousand consultants, it is employee-owned in large part, which it uses as an argument for independence from the listed consulting groups.

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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