Data Engineer

Description

Are you a data engineer who wants a new challenge? This role suits someone who wants to share knowledge with a team of professionals, help grow colleagues' and clients' skills, deepen their expertise and work on innovative projects.

You will take on a technically demanding role and get an overview of the client projects. Your development, including new skills and technical leadership, will be planned with you.

The company is a French group founded in 1989, with an international footprint and offices in Europe and North America. It helps organisations transform by combining business process knowledge with digital technology. It is ranked among the top ten engineering consulting firms in France and works in sectors such as energy, transport, space, banking, health and environment.

The group's services cover industrial project management, supply chain performance, architecture and development of embedded digital systems, computer applications, information systems and artificial intelligence.

Responsibilities

• Design, build, deploy, test and maintain scalable data pipelines and data architectures.
• Define and implement efficient data structures that keep data consistent, scalable and fast.
• Set up, maintain and tune databases, data lakes and storage for both structured and unstructured data.
• Build data pipelines that support machine learning models and more advanced data processing.
• Maintain and improve CI/CD pipelines, including automated testing, deployment and code quality checks.
• Work with software developers, data scientists, engineering and production teams to meet technical and business needs.
• Help improve data engineering practices, testing approaches and development standards over time.

Requirements

• Master's degree in computer science, engineering, informatics or a closely related field.
• Solid data engineering experience, including building data pipelines and designing data architecture.
• Strong skills in Python, SQL, Apache Spark and Docker.
• Working familiarity with Jenkins, Jupyter, Apache Superset and Dagster.
• Good grasp of databases, data lakes, data warehouses and data processing architectures.
• Experience with CI/CD pipelines, automated testing and unit testing.
• Interest in open-source technologies and on-premises solutions.
• Strong analytical, organisational and communication skills, and the ability to work in multidisciplinary teams.
• Experience with Kubeflow and data warehousing solutions.
• Knowledge of MATLAB unit testing.
• Familiarity with C/C++, Git, Bitbucket and DevOps.
• Additional: experience in software engineering, frontend development or data analytics.
• Soft skills: problem solving, good communication, a goal-oriented approach, self-direction, a proactive stance towards solutions and teamwork.
• Languages: fluent French and fluent English, spoken and written.

Benefits

• A career path shaped around your interests, with varied missions in your field and links across different trades.
• Work on high-quality projects in your specialty, supported by a broad training catalogue from the internal Academy.
• A social framework that covers a range of needs: telework agreement, childcare nurseries, social coverage, flexibility and soft mobility options.
• Opportunities to contribute to R&D topics or join internal projects.
• A friendly team.