Data Engineer, Platform

Eneba is building a sustainable marketplace for gamers and is seeking a Data Engineer to join their Data team. The role involves creating and maintaining data pipelines, collaborating with ML engineers, and optimizing data delivery processes to support data-driven decision-making across the organization.

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
• Identify, design and implement improvement to internal processes allowing to optimize data delivery, automate manual processes
• Design new and improve current patterns for building data models and implement necessary modifications

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
• Familiarity with Databricks or similar cloud data platforms (such as Snowflake) would be a significant advantage
• Experience with AWS, Azure, or other Kubernetes platforms is a huge plus
• Must have hands-on expertise with Git for version control and collaboration
• Solid knowledge of SQL, essential for querying and managing relational databases
• Good English level is required, proficiency is preferred