Senior Data Engineer Databricks - Casablanca

Company :

Capgemini is a global, responsible, and multicultural leader, with 325,000 people in over 50 countries. A strategic partner for businesses in transforming their operations by leveraging the full power of technology, the Group is guided daily by its purpose: to unleash human energy through technology for an inclusive and sustainable future.

With 55 years of experience and strong expertise in various business sectors, Capgemini is recognized by its clients for meeting all their needs, from strategy and design to operations management, by leveraging innovations in the ever-evolving fields of cloud, data, Artificial Intelligence, connectivity, software, digital engineering, and platforms. The Group generated revenues of 18 billion euros in 2021.

Some reasons to join us:

• Quality of work life: Possibility of remote work in Morocco and internationally, and autonomy in organizing your daily life, hybrid missions according to your preferences.
• Continuous learning: access to training and certifications dedicated to your technology, personalized support, and a structured onboarding process.
• Varied and high-impact projects: work with major clients in diverse sectors with challenging business and technological issues.
• Expertise ecosystem: be part of a community of software engineering experts and grow your network with clients and leaders.

Our commitments and priorities:

The Capgemini group promotes an inclusive culture in a multicultural and disability-friendly environment. By joining us, you will become part of a collective that values diversity, develops the potential of its talents, engages in solidarity initiatives with its partners, and is committed to reducing its environmental impact across all its sites and with its clients.
   

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.

Job :

Within our project teams, you will contribute to the development of innovative digital solutions for major clients in the banking, insurance, energy, and industry sectors. You will join a multidisciplinary team, organized in an Agile mode, working on high-impact business projects.

As a Databricks Data Engineer, you will be involved in various tasks such as:

• Designing and developing efficient and scalable data pipelines on Databricks.
• Leveraging advanced Apache Spark functionalities via PySpark for big data processing.
• Participating in data modeling, performance optimization, and best practice implementation.
• Collaborating with Data Science, BI, and business teams to meet business needs.
• Integrating solutions into CI/CD environments, using tools like Git, Azure DevOps, Terraform.
• Providing technical guidance to junior profiles and contributing to technological watch.

Required profile :

Graduate with a Master's degree (Bac+5) in computer science or equivalent.

Confirmed experience (>= 5 years) in a similar position.

Confirmed experience in data engineering with Databricks.

Proficiency in PySpark, SQL, and cloud environments (Azure, AWS, or GCP).

Knowledge of orchestration tools (Airflow, Azure Data Factory, etc.).

Analytical skills, autonomy, rigor, and ability to work in a team.

A Databricks or cloud certification is a plus.

Head office address :

Desired personality traits :

Search for new things / novelty Need for reflection Need for autonomy Involvement at work Ambition