Senior Data Engineer

AgriTech company focused on digital transformation of post-harvest agriculture, helping clients transition to zero storage insecticides and optimize energy consumption.
59700 Marcq-en-Barœul, France
Data
Senior Software Engineer
Hybrid
51 - 100 Employees
5+ years of experience
AI · Enterprise SaaS · Agriculture

Description For Senior Data Engineer

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.

Last updated 40 minutes ago

Responsibilities For Senior Data Engineer

  • Design, implement and maintain a performant and scalable Data Warehouse
  • Ensure data quality, workflow orchestration and performance monitoring
  • Understand business issues to implement the right tools (especially Data Visualization)
  • Contribute to the industrialization of algorithms developed by Data Science and Data Analysis teams
  • Help upskill Data Science and Data Analysis teams on Data Engineering issues and best practices

Requirements For Senior Data Engineer

Python
Kafka
MongoDB
MySQL
PostgreSQL
Rust
  • Mastery of Python and SQL, as well as distributed processing frameworks like PySpark
  • Experience with Modern Data Stacks (Kafka, Beam, PySpark, Polars, Airflow, DBT)
  • Expertise in databases (PostgreSQL, MySQL, BigQuery, MongoDB)
  • Experience in Cloud Computing, ideally on Google Cloud Platform (GCP)
  • Infrastructure as Code (Terraform, Kubernetes) and Cloud environment management
  • Advanced monitoring skills with Prometheus, Grafana
  • Experience in CI/CD and serverless solutions for workflow automation
  • Management of Spark clusters and distributed workload optimization
  • Experience with Rust is a plus

Benefits For Senior Data Engineer

Medical Insurance
  • Impactful mission with crucial challenges in agricultural digitalization
  • Human values at the heart of HR policy
  • Convivial offices in Lille, Paris or Bordeaux
  • Flexible working hours
  • Regular afterworks
  • Weekly sports activities and board games
  • Attractive package including meal vouchers
  • Up to 2 days of remote work per week
  • 8-11 RTT days per year

Interested in this job?

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