Data Engineer & IA

About Chronopost

Since 1985, Chronopost (a subsidiary of Groupe La Poste) has been ensuring the express collection and delivery of parcels under 30kg. We deliver over 900,000 parcels daily to professionals and individuals, in France and to 230 destination countries.

Chronopost is more than that; in a changing world, we are embracing new consumption trends. We are a company that:

• Innovates and commits through more environmentally friendly delivery (electric vehicle fleet, cargo bikes, natural gas).
• Adapts by offering tailor-made delivery solutions.
• Diversifies by positioning itself in niche markets such as Health and Food.
• Contributes to the circular economy (through the Shop 2 Shop offer).

To achieve this, we are 5,000 employees spread across a hundred automated and industrialized sites (Agencies and Hubs). We live the company values of Commitment, Innovation, and Adaptation daily. Chronopost promotes diversity and professional inclusion. All our positions are open to people with disabilities.

We place our IT team at the heart of the company and allow it to work with full autonomy, enabling a custom development approach. You will be a true force for proposing ideas.

Your Mission

As a Data Engineer & IA, you will be responsible for consolidating data from operational systems (relational databases). This data will be loaded into a BI system with Snowflake storage (GCP Cloud), with feeding done using Talend or SQL ETL.

You will actively participate in future BI/Data projects as well as AI / Gen AI projects.

You will be involved in the architecture, design, realization, and deployment of these decision-making projects and their associated tooling.

Why We Are Your Dream Data Team?

We are a company undergoing digital transformation, investing in data management. We are evolving our data platforms to be state-of-the-art in this sector, while remaining agile in this rapidly changing environment.

We offer you a role that combines development and innovation on the most interesting technologies on the market (Snowflake, GCP).

Profile Sought

What Makes You Our Ideal Candidate?

You master the design of decision-making/BigData systems (ODS, Datawarehouse, and Datamart) as well as best practices for feeding these different layers. You have already worked on an ETL (ideally Talend). In parallel, you are interested in DevOps toolchains and all aspects of IT development that allow us to develop, test, maintain, and monitor our BI/Data perimeter.

Vertex AI & Cloud Native (GCP): You are curious about using Gemini and LLMs to automate complex processes or enhance the customer experience. You have notions of the Vertex AI ecosystem for orchestrating your projects, and you master Cloud Run to deploy your applications and micro-services scalably.

Python Development & Machine Learning: Python: It's your preferred language for scripting, data manipulation, and interacting with APIs.

Modeling: You know how to design, train, and evaluate high-performance Machine Learning models using libraries like Scikit-learn or XGBoost.

Docker: You master containerization to ensure your developments are portable, scalable, and ready for production.

Interfaces & Visualization: You know how to quickly create intuitive user interfaces with Streamlit to put your data projects directly into the hands of end-users.

Hybrid Environments: Comfortable in the Cloud (GCP), you also master Linux fundamentals to administer and deploy solutions on our on-premise VMs, and to prepare deployments on Cloud Run.

You particularly enjoy acquiring new knowledge and implementing it at scale (in real production with associated piloting and supervision). You are committed, you seek excellence. You are interested in the data ecosystem and follow the evolution of technologies.

You are particularly comfortable with the SQL language, which is central to our existing systems and our evolutions.

You are comfortable managing components and relevant, effective documentation.

The position is located at Porte d'Orléans, near the ring road and the metro.