About the Role
The Data Engineer will be part of the CMA CGM HUB in Beirut. Within the HUB, you will be involved in project activities on multiple digital applications and will work in contact with the Business team (CMA CGM), Data Scientists, AI Engineers and various architecture and development teams.
Responsibilities
- Design, implement, and support analytical data infrastructure that provides access to large datasets and scalable computing resources.
- Collaborate with technology teams to extract, transform, and load data from a wide variety of sources.
- Build and maintain real-time data pipelines, primarily using SQL, dbt, and AWS technologies.
- Continuously evaluate emerging big data, Elasticsearch, AI, and data-visualization technologies to introduce new capabilities and improve efficiency.
- Work closely with team members to implement real-time models for monitoring and alerting across risk systems.
- Contribute to the development of intelligent data solutions, including semantic views, enterprise search, analytics, and AI agents.
- Collaborate with cross-functional teams while maintaining code quality through GitLab or GitHub workflows.
Required Skills
- Strong skills in data modeling, ETL processes, and SQL development.
- Hands-on experience with dbt, including data modeling, testing, documentation, lineage, and deployment best practices.
- Experience with, or demonstrated self-learning in cloud platforms (AWS/Azure/GCP), and tools like Spark, Airflow, and Kafka
- Knowledge of Snowflake Cortex Search and Cortex Analyst, including experience building semantic views, is a strong advantage.
- Experience building AI agents using CoCo, or a strong interest in developing expertise in this area, is considered a significant plus.
- Proficiency with GitLab or GitHub, including branching strategies, merge requests, and CI/CD pipelines.
Soft Skills
- Team player with a good collective spirit and empathy.
- Autonomy, listening, analytical thinking, and effective communication skills.
Qualifications
- Education: Bachelor's degree in computer science or engineering, mathematics, statistics, or economics. At ease in English and French.
- Experience: 2 years of experience in development, data engineering, business intelligence, data science, or a related field.
