Data Engineer, Product

Eneba is building a sustainable marketplace for gamers and is seeking a Data Engineer to join their Data Engine team. The role involves building and maintaining data pipelines, collaborating with ML engineers, and ensuring data quality across various workflows.

Responsibilities:

• Build and maintain data pipelines that transform source data into reliable inputs for machine learning use cases
• Work closely with ML engineers to support feature creation and delivery for model training and inference workflows
• Develop and improve data transformations used for feature generation, including pipelines that feed offline and online feature-related use cases
• Ensure strong data quality assurance across pipelines by designing solutions that produce accurate, trustworthy, and well-monitored datasets
• Take ownership of pipelines end to end, from implementation to maintenance, while continuously improving performance, scalability, and efficiency

Requirements:

• 5+ years of experience in data engineering or a similar role
• Strong hands-on experience building ETL/ELT pipelines with ownership from design to maintenance
• Solid expertise in Apache Spark and Python, especially for large-scale data transformation workloads
• Good understanding of SQL and practical experience working with data models and transformation logic
• Experience working with high-volume or frequently running pipelines, including batch or near real-time processing scenarios
• Ability to collaborate effectively with machine learning teams and understand data needs in ML-driven environments
• Familiarity with Databricks is an advantage
• Experience with streaming technologies (Flink, Kafka), feature stores, or ML-related data workflows is a strong plus