GCP Data Engineer at Capgemini in Casablanca 2026

## Overview Capgemini, a strategic partner for companies in their technological transformations, is looking for a **GCP Data Engineer** to join its team in **Casablanca**. This unique opportunity allows candidates with **5 to 10 years** of experience in data engineering or cloud engineering, holding a **Bac+5** degree or higher, to contribute to innovative projects within the Google Cloud Platform environment.

## The Organization **Capgemini** is a global leader, responsible and multicultural company, with 325,000 employees in over 50 countries. The company is committed to unleashing human energy through technology for an inclusive and sustainable future. With 55 years of experience, Capgemini is known for its ability to meet client needs in areas such as cloud, data, artificial intelligence, and digital transformation. The Group achieved revenues of 18 billion euros in 2021.

Capgemini's culture is characterized by collaboration, placing people, trust, and teamwork at the heart of its practices. It also encourages diversity and talent development, and is committed to environmental and social responsibility.

## Advertised Positions - **GCP Data Engineer** (Google Cloud Platform) - **Grade**: Not specified (Private sector job) - **Specialties**: Data Engineering, Cloud Computing, Google Cloud Platform, Data Science, Artificial Intelligence. - **Number of Positions**: Not specified - **Location**: Casablanca (with possibility of hybrid remote work)

## Application Requirements - **Educational Level**: **Bac+5** degree or higher (Master's or Engineer's diploma) in IT or Electronics specialties. - **Professional Experience**: **5 to 10 years** in data engineering or cloud engineering. - **Technical Skills**: Deep mastery of Google Cloud Platform (GCP) and its services such as BigQuery, Dataflow, Dataproc, Cloud Storage, Pub/Sub, Composer, Vertex AI. - **Programming Languages and Databases**: Strong experience in SQL and Python, and knowledge of SQL and NoSQL databases. - **Data Engineering**: Strong understanding of data modeling principles and ability to design and implement complex data pipelines (ETL/ELT). - **Orchestration Tools**: Experience with tools such as Airflow. - **CI/CD Tools**: Experience with Cloud Build, GitLab CI, Terraform. - **Security and Governance**: Knowledge of data security and governance concepts. - **Soft Skills**: Ability to understand business challenges and translate them into technical solutions, excellent communication skills, team spirit, analytical thinking, precision, and autonomy.

## Key Responsibilities As a GCP Data Engineer, you will be responsible for: - Designing and developing robust and scalable data pipelines (ETL/ELT) on the GCP platform. - Setting up and maintaining data infrastructures (e.g., BigQuery, Dataflow, Pub/Sub). - Ensuring data quality, security, and governance. - Participating in the process of transforming machine learning models into industrial products. - Collaborating with teams to understand needs and propose appropriate solutions. - Documenting processes and keeping up with technological developments in GCP tools.

## Required Skills - **Technical Skills**: - Mastery of Google Cloud Platform: BigQuery, Cloud Storage, Dataflow, Pub/Sub, Composer, Vertex AI. - Strong experience in SQL, Python, and orchestration tools (Airflow). - Knowledge of Data Lake / Data Warehouse architecture. - Experience with CI/CD tools (Cloud Build, GitLab CI, Terraform). - Data security and governance concepts. - **Functional Skills**: - Ability to understand business challenges and translate them into technical solutions. - Good communication skills and ability to work in a team. - Analytical spirit, precision, and autonomy.

## Important Dates - **Announcement Date**: 2024-05-20 - **Application Deadline**: **September 10, 2026**