Senior Data Engineer, Qantev

• 3+ years of experience in data engineering
• Experience in dealing with the machine learning model lifecycle, ideally, the candidate has experience on serving machine learning models
• Strong background in data orchestration (Airflow or Dagster)
• Excellent communication and documentation skills
• Fluent English (French is not required)
• Python, Airflow, Docker

Desirable

• From the Data Engineering team, you will work on ambitious and critical projects for the company such as:
• The data access service
• The ML inference service
• Data pipelines including ML pipeline, cold and live data ingestions
• You will occupy a central position in the model development lifecycle, writing high-quality
• Production code for our inference server, aligning closely with the product and platform
• Teams and designing automated evaluation pipelines to continuously assess and improve performance
• You will be responsible for building scalable pipeline and help reduce build time for new clients

• Fit interview (30min): a first discussion to tell you more about the company and understand your background
• Live coding interview (45-60min): Check your programming skills around an algorithmic exercize
• System Design Interview (45-60min): Assess your ability to design scalable and maintainable ML pipelines