Eneba
201 - 500 employees
Founded 2018
🛍️ eCommerce
🎮 Gaming
🏪 Marketplace
eCommerce • Gaming • Marketplace
Eneba is an online platform that offers a wide range of video games, gaming-related eCards, and gift cards. Users can easily purchase cheap games for various platforms, including PC and gaming consoles, and benefit from personalized game deals through a loyalty program. Eneba also provides an opportunity for businesses to sell their products on the platform, creating a marketplace for gamers and developers.
Data Engineer
🕒 April 8
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Eneba
201 - 500 employees
Founded 2018
🛍️ eCommerce
🎮 Gaming
🏪 Marketplace
eCommerce • Gaming • Marketplace
Eneba is an online platform that offers a wide range of video games, gaming-related eCards, and gift cards. Users can easily purchase cheap games for various platforms, including PC and gaming consoles, and benefit from personalized game deals through a loyalty program. Eneba also provides an opportunity for businesses to sell their products on the platform, creating a marketplace for gamers and developers.
📋 Description
• 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.
🏖️ Benefits
• 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. • Paid volunteering opportunities. • Work location of your choice: office, remote, opportunity to work and travel. • Personal and professional growth at an exponential rate supported by well-defined feedback and promotion processes.
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