Data Engineer

Choosing Capgemini means choosing a company where you can shape your career and turn your ambitions into reality. Supported by a collaborative community of colleagues around the world, you will have the opportunity to reimagine what is possible and create meaningful impact. Join us to help the world's leading organizations unlock the value of technology and build a more sustainable, more inclusive world.

Explore the full job description below to learn more about the Data Engineer role, key responsibilities, and what it's like to be part of our team. If you're excited by what you see, we'd love to hear from you. Apply today and take the next step in your career journey. Not quite the right opportunity?

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As part of our project teams, you will contribute to implementing data integration solutions for major clients in the banking, insurance, energy, and industrial sectors. You will join a multidisciplinary team working in an Agile environment on projects with significant business impact.

As a Data Engineer, your responsibilities will include:

• Designing and developing robust, scalable, and secure data pipelines.
• Integrating, transforming, and enhancing data from multiple sources, including relational databases, files, APIs, and streaming platforms.
• Contributing to data modeling and optimizing processing performance.
• Collaborating with Data Science, Business Intelligence, and business teams to address business needs.
• Implementing orchestration and automation solutions such as Airflow and Azure Data Factory.
• Integrating solutions into CI/CD environments using tools such as Git, Jenkins, and Azure DevOps.
• Providing technical guidance to junior team members and contributing to technology monitoring around data architectures.

• Master's degree (Bac+5) in computer science or an equivalent field.
• At least five years of proven experience in a similar role.
• Proficiency in at least one of the following technologies: GCP, Databricks, Azure, AWS, Snowflake, or Informatica.
• Proficiency in programming languages such as Python and SQL, as well as data engineering tools.
• Experience with cloud platforms such as Azure, AWS, or GCP and modern data architectures, including Data Lakes and Data Warehouses.
• Knowledge of orchestration and monitoring tools.
• Strong analytical skills, autonomy, attention to detail, and the ability to work effectively as part of a team.
• A cloud or data engineering certification would be an advantage.

• Quality of working life: Benefit from remote-working opportunities in Morocco and internationally, autonomy in organizing your day-to-day work, and hybrid assignments tailored to your preferences.
• Continuous learning: Access training and certifications dedicated to your technology, personalized support, and a structured onboarding journey.
• Varied, high-impact projects: Work with major clients across a range of industries on stimulating business and technology challenges.
• Expert ecosystem: Benefit from personalized technical guidance and active participation in our professional communities.

The Capgemini Group promotes an inclusive culture within a multicultural and disability-friendly environment. By joining us, you will become part of a community that values diversity, develops the potential of its people, supports community initiatives with its partners, and works to reduce its environmental impact across its sites and client engagements.

Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 350,000 team members in more than 50 countries. With its strong heritage of over 55 years, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions, leveraging strengths from strategy and design to engineering, all fueled by its market-leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.