Job description

Company culture :

Capgemini is characterized by a predominantly collaborative culture, placing people, trust and teamwork at the core of its practices. A close management approach fosters guidance, empowerment and skills development within a supportive environment. This culture is reinforced by a strong organizational dimension, ensuring process rigor, reliability and operational efficiency. It is complemented by a competitive component focused on performance and customer satisfaction, while a more moderate innovation dimension supports the continuous evolution of services and expertise.

Join an innovative company in the IT sector and help shape the future of data as a Data Engineer GCP in Casablanca. This is a unique opportunity to use your expertise on challenging projects at the heart of Google's cloud ecosystem.

As a Data Engineer GCP, you will be responsible for designing, developing, and maintaining data pipelines on the Google Cloud Platform environment. You will work in a data-driven transformation context, in collaboration with Data Science, BI, and IT teams.

Your missions include:

Design and develop robust and scalable data pipelines (ETL/ELT) on GCP.
Implement and maintain data architectures (BigQuery, Dataflow, Pub/Sub, etc.).
Ensure data quality, security, and governance.
Participate in the industrialization of machine learning models.
Collaborate with business teams to understand needs and propose suitable solutions.
Document processes and stay updated on GCP tools.

Required skills

Technical:

Proficiency in Google Cloud Platform: BigQuery, Cloud Storage, Dataflow, Pub/Sub, Composer, Vertex AI.
Solid experience in SQL, Python, and orchestration tools (Airflow).
Knowledge of Data Lake / Data Warehouse architectures.
Experience with CI/CD tools (Cloud Build, GitLab CI, Terraform…).
Basic understanding of data security and governance.

Functional:

Ability to understand business needs and translate them into technical solutions.
Good communication and teamwork skills.
Analytical mindset, rigor, and autonomy.

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To excel in this role, a higher education level, Bachelor's degree +5 or more, is required. A degree in Computer Science or Electronics will be particularly appreciated.

With 5 to 10 years of experience in data or Cloud Architect roles, you have developed solid expertise in managing and processing large volumes of data.

Essential skills for success include in-depth mastery of the Google Cloud Platform (GCP) ecosystem, particularly services like BigQuery, Dataflow, Dataproc, and Cloud Storage. A strong understanding of data modeling principles, programming languages like Python or Java, and SQL and NoSQL databases is essential. The ability to design and implement complex data pipelines, along with strong problem-solving skills, is also expected. Good communication and teamwork skills complete this profile.