[Hiring] Data Engineer, Platform @Eneba

Role Description

At Eneba, we’re building an open, safe and sustainable marketplace for the gamers of today and tomorrow. Our marketplace supports close to 20m+ active users (and growing fast!), providing a level of trust, safety and market accessibility unparalleled to none.

We're a Data team. We gather specialists passionate about data, and our mission is to help grow Eneba organization as a data-driven decision maker by providing a solid data foundation.

• 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 improvements to internal processes allowing to optimize data delivery and automate manual processes.
• Design new and improve current patterns for building data models and implement necessary modifications.

Qualifications

• 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.
• 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.

Requirements

• €64,800 - €69,600 a year.
• Salary ranges may vary. We’re seeking candidates with varied experience levels; from individual contributors to functional leaders in this space.
• We’re an international team and our business language of choice is English. Good English level is required, proficiency is preferred.
• Please attach CV's in English.

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.