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:

• 5+ years of experience in data engineering or in a similar role.
• Extensive experience with Apache Spark using Python for large-scale data processing.
• Familiarity with Databricks or similar cloud data platforms (such as Snowflake) would be a significant advantage.

Working at Eneba:

• Opportunity to join our Employee Stock Options program.
• Various bonus systems: performance-based, referral, additional paid leave, personal learning budget.
• Work location of your choice: office, remote, opportunity to work and travel.