Senior Data Engineer

Digital Factory Ground & Rail

Reporting to: Head of Data & Innovation

The Digital Factory Ground & Rail is CEVA’s technology and product organization dedicated to digital freight forwarding solutions and innovation initiatives. Originating from Chronotruck, a startup integrated into the group, the team has preserved an entrepreneurial mindset and strong product culture while benefiting from the scale and resources of a global logistics leader.

The team brings together expertise across product management, software engineering and data, operating with agile methodologies and a strong focus on data-driven decision making. Artificial Intelligence and Machine Learning are becoming increasingly embedded within our products and services.

Our mission is to provide innovative digital solutions that create tangible value for operational teams and customers through a deep understanding of business challenges and user needs.

Current product portfolio includes: Spot Module, Zephyr, Adapt, Forecast, Customer Billing and the broader Chronotruck ecosystem.

We are looking for a Senior Data Engineer to lead the evolution of our data platform while contributing directly to the delivery of innovative, AI-enabled solutions.

This position combines strong technical ownership with close collaboration with business stakeholders. You will work across the entire lifecycle of data and AI initiatives, from understanding operational requirements and designing solutions to deploying and maintaining them in production.

As a key member of a growing team, you will play an important role in shaping our technology landscape, defining best practices, and ensuring our data capabilities support both current and future business needs.

• Maintain, operate and continuously improve the data platform.
• Ensure high standards of reliability, performance, data quality, observability and cost efficiency.
• Support data ingestion, orchestration, transformation and data serving processes across multiple products.

• Partner closely with business stakeholders to understand operational challenges and identify opportunities for innovation.
• Design, develop and deploy AI-driven solutions, including LLM applications, intelligent agents, machine learning models and analytical tools.
• Deliver projects from initial concept through production deployment and ongoing support.

• Work closely with the Data Scientist to build and maintain the datasets and pipelines required for advanced analytics and predictive models.
• Ensure reliable and scalable deployment of machine learning solutions into production environments.

• Promote high engineering standards across development, testing, documentation, monitoring and security.
• Leverage modern AI-assisted development tools to increase efficiency while maintaining code quality and robustness.

• Operate and monitor workloads running on Google Cloud Platform (GCP).
• Collaborate with the central Cloud team on infrastructure-related requirements and enhancements.
• Maintain and improve CI/CD processes and deployment pipelines.

• Contribute to establishing data engineering standards and methodologies.
• Support recruitment, onboarding and mentoring activities as the team expands.

• Minimum 5 years of experience in Data Engineering.
• Proven experience managing production-grade data platforms.
• Demonstrated ability to deliver data, analytical or AI solutions from design through production deployment.
• Experience working in fast-paced product-driven environments is highly valued.
• Interest or experience in transport, logistics or supply chain operations is a plus.

• Strong proficiency in Python and SQL.
• Solid understanding of data modelling principles and best practices.
• Experience with orchestration and transformation tools such as Airflow and dbt.
• Strong hands-on experience with Google Cloud Platform environments.
• Knowledge of containerized applications and cloud-native data architectures.
• Familiarity with CI/CD tools such as GitHub, GitLab and Jenkins.
• Experience building applications leveraging Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), AI agents and related technologies.
• Understanding of Machine Learning concepts and deployment practices is a plus.

• French required, both written and spoken.
• Professional English proficiency required.

• Strong curiosity for technology, data and artificial intelligence.
• Ability to combine speed of execution with attention to quality and operational excellence.
• High level of ownership and autonomy.
• Strong communication skills and ability to engage effectively with both technical and non-technical stakeholders.
• Business-oriented mindset with the ability to connect technical solutions to operational needs.