Experienced Data Engineer DBT / SQL / BigQuery | Rabat (Morocco)

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.

Your goal will be to contribute to Data projects by bringing technical expertise to the Data Platform to break down information silos, provide data via API, and accelerate analytical processing.

You will be responsible for:

• Developing skills in BigL ETL and participating in business projects via the offline ELT solution (BigLoader, BDI/DBT).
• Handling correction requests (incidents/anomalies).
• Participating in self-training and upskilling the team.
• Applying good development practices and standards.
• Contributing to automated delivery (CI/CD, GitLab, Docker).
• Developing, documenting code, and collaborating within a Scrum team.

Graduated with a Bac+5 (Master's degree or equivalent) in engineering school or university with a specialization in computer science, or with equivalent significant experience.

Experience: from 3 to 7 years in DBT, SQL, BigQuery

Significant experience in DBT, advanced SQL, and BigQuery. Knowledge of GCP, CI/CD, Pubsub, Git, Linux

Required skills:

Technical:

• Google Cloud Platform (GCP)
• BigQuery
• Advanced SQL
• DBT (Data Build Tool)
• Pub/Sub
• Git
• GitLab CI/CD
• Docker Compose
• Linux & command line

Methodologies:

• CI/CD & DevOps
• Agile Scrum Methodology

Soft skills:

• Excellent written and oral communication in French
• Analytical and continuous improvement mindset
• Ability to take a step back
• Adherence to deadlines and quality standards
• Team spirit and cross-functional collaboration