Javelot is an AgriTech company revolutionizing post-harvest agriculture through digital transformation. With a team of over 75 employees across Lille, Bordeaux, Paris, Lyon, and international locations, they serve more than 1000 users managing 15 million tons of cereals worldwide. Their mission is to make post-harvest operations simpler, more efficient, and more responsible.
As a Senior Data Engineer reporting to the Head of Data, you'll be responsible for implementing the entire data stack efficiently. The role involves designing and maintaining a scalable Data Warehouse, ensuring data quality, and working closely with Data Science teams. You'll use cutting-edge technologies including Python, PySpark, Kafka, and various cloud solutions on GCP.
The company offers a strong focus on work-life balance with flexible hours and hybrid work options. They promote an inclusive workplace culture centered on teamwork, trust, progress, and commitment. The position offers an opportunity to make a real impact in agricultural sustainability while working with modern data technologies.
The ideal candidate should have extensive experience with data engineering tools, cloud platforms, and distributed systems. Knowledge of Python, SQL, and modern data stacks is essential, while experience with Rust would be advantageous. This role offers the chance to contribute to meaningful agricultural innovation while working in a collaborative and forward-thinking environment.