Data Engineer, Platform

Responsibilities:

• Enable efficient data access by creating and maintaining data pipelines.
• Collaborate with ML engineers to design and maintain automation for machine learning training, quality assessment, and model release process.
• Build data infrastructure from the vast amount of data for analytics, hypothesis testing and company metrics.

Requirements:

• 3+ years of experience in data engineering or in a similar role.
• Extensive experience with Apache Spark using Python for large-scale data processing.
• Solid knowledge of SQL, essential for querying and managing relational databases.

What it’s like to work at Eneba:

• Opportunity to join our Employee Stock Options program.
• Opportunity to help scale a unique product.
• Various bonus systems: performance-based, referral, additional paid leave, personal learning budget.