Data Engineer

Created in 2021, Sifflet is an early-stage start-up backed by Tier 1 investors. We are building the world’s best observability platform to enable companies to trust their data and excel at data-driven decision-making. It’s normal if you’ve never heard of data observability because we’re building this category! We are based in Paris but serve organizations from all over the world, from scale-ups to large enterprises. Young, ambitious, and extremely passionate about data.

We are looking for an experienced Data Engineer to join our ML engineers Marie and Gwennaëlle.

In this role, you will,

• Design, build, and maintain the infrastructure required for data processing and analysis (we’re still at the beginning, there’s a lot to build)

• Work closely with all the teams to ensure that the data infrastructure supports the needs of the organization and enables data-driven decision-making.

• Collaborate with the engineering team to solve technically complex challenges, hiring, and shaping the culture.

This is a key moment to join Sifflet, as we’re still a small team with a lot of room to grow: you’ll have a major impact on the development of our data-driven initiatives.

• You have a BS/MS/PhD in a scientific field or equivalent experience.

• You have at least 3 years of experience in data engineering, ideally in a start-up.

• Strong technical skills in areas such as data modeling, database design, ETL processes, data warehousing, and programming languages such as SQL, Python, Java, and Scala.

• Strong knowledge of a major cloud environment (AWS, GCP, or Azure)

• You have excellent communication skills and the ability to adapt messaging to technical and non-technical audiences.

• You are autonomous, organised, self-motivated and able to drive ambitious projects to success from conception through coding to deployment. You value ownership of your projects from design to production.