This scaleup is a comprehensive ecosystem that connects all the players in your supply chain in a real-time environment. The goal is to optimize your interactions to make your chain more efficient while having a real impact on waste in the ultra-fresh food sector.
We are looking for a Data Engineer to join a product and data team building a technology platform designed to optimize data flows across supply chains, particularly within ultra-fresh product ecosystems.
The platform connects multiple stakeholders within a real-time environment, enabling better operational performance while contributing to the reduction of food waste through advanced data analysis.
The Data Engineer will play a key role in structuring, processing, and leveraging data, while also contributing to Machine Learning and AI initiatives for advanced analytics and predictive insights.
Data Engineering
Design, build, and maintain scalable and reliable data pipelines.
Collect, transform, and structure data from multiple sources.
Optimize data storage and queries in BigQuery.
Ensure data quality, consistency, and availability across systems.
Data Analytics & Visualization
Structure datasets to support business analytics.
Build and maintain dashboards and reports in Google Looker.
Collaborate with product and business teams to define and track key metrics.
Machine Learning & AI
Contribute to the development and integration of Machine Learning models for predictive analytics.
Prepare datasets used for model training and evaluation.
Participate in the production deployment of ML models within data pipelines.
Tech Stack
Languages: Python
Framework: Django
Data Warehouse: BigQuery
Data Visualization: Google Looker
Machine Learning: Python ecosystem (Pandas, Scikit-learn, etc.)
Cloud: Google Cloud Platform
Requirements :
1–5 years of experience in Data Engineering, Data Science, or a related field.
Strong proficiency in Python.
Experience working with BigQuery or similar data warehouses.
Experience with BI or data visualization tools (Looker is a plus).
Knowledge of Machine Learning applied to data analysis.
Experience with Django or Python backend frameworks.
Good understanding of modern data architectures.
Nice to Have
Experience with Google Cloud Platform
Experience designing ETL / ELT pipelines
Knowledge of supply chain, logistics, or food tech industries
Interest in sustainability and reducing food waste
Soft Skills
Strong analytical mindset
Autonomy and proactive attitude
Ability to collaborate with product and business teams
Interest in building data-driven products with real-world impact
