Data Ops Senior - Rabat
Company sector : IT (Information Technology)
COMPANY :
ALTEN MOROCCO, a branch of the world leader in engineering and technology consulting founded in 2008 and present in Fez, Rabat, Tetouan, and Casablanca, now has over 2200 employees and aims for a center of excellence with 3300 ALTEN employees by the end of 2027. It is now an important player in supporting the professional development of engineers.
Our mission: to meet the technological ambitions of our clients - major international clients - in the automotive, railway, R&D and IT, telecommunications, and media sectors.
Joining ALTEN Morocco means joining an ecosystem of excellence and benefiting from:
• A personalized and evolving career path
• An ambitious skills development policy
• A stimulating, collaborative, and meaningful work environment
Discover the testimonial of Hajar Bououd, HR Director and Communication at ALTEN Morocco in the Challenge Maroc magazine by clicking here: https://bit.ly/3QMntIc
Company culture :
Alten Maroc is defined by a deeply collaborative culture, focused on people, trust, and strong team support, with hands-on managers who guide and develop talent.
This environment is enhanced by a strong drive for innovation, encouraging creativity, initiative, and experimentation across projects.
A structured and disciplined organization ensures efficiency, rigor, and quality in engineering delivery.
Performance and ambition are part of the culture as well, supporting collective success while maintaining a positive and caring atmosphere.
Job :
Your goal will be to facilitate and accelerate the development of all projects within the Data Science, Data Analysis, and Data Visualization departments of the Analytics Factory, by introducing processes, cross-functional tools, and DevOps expertise throughout the development cycle, from the first prototype to production deployment and ongoing maintenance.
You will be responsible for:
- Setting up, maintaining, and improving the continuous integration and deployment (CI/CD) processes for the analytical project infrastructures (including AI and agent-based systems).
- Administering and maintaining the shared services of the Analytics Factory (Airflow, Langfuse, semantic layer, etc.).
- Ensuring compliance with best practices and security rules.
- Identifying opportunities for improvement and automation of service offerings, while staying attentive to the needs of the analytical teams.
- Providing daily support to the engineering community: deployment, application configuration, access management, incident investigation, cloud cost optimization.
- Deploying and managing Kubernetes clusters and associated applications.
- Operating GCP (GKE, Cloud Storage, Cloud SQL, Cloud Monitoring).
- Administering Apache Kafka from advanced configuration to production operation (performance, security, monitoring).
- Implementing security and access management best practices.
- Scripting in Bash, Python, or equivalent for automation.
- Analyzing technical impacts and improving existing solutions.
Required profile :
Graduate of a Bac+5 in engineering school or equivalent university degree with a specialization in computer science, or with equivalent significant experience
Experience: More than 7 years of experience in DevOps and/or Data Engineering.
Experience in the retail / large distribution sector is a plus.
Required Skills:
Must have: software development, CI/CD, cloud deployment (GCP preferred), infrastructure as code, containerization and Kubernetes orchestration, deep understanding of network issues
Nice to have: GCP (GKE, Cloud Storage, Cloud SQL, Cloud Monitoring), Apache Kafka (advanced configuration, production), Bash / Python, relational databases, DevOps and Agile practices, cloud access and security management
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