Data Engineer

Technologies we use

About the project

Your responsibilities

• Build our analytics platform powering gameplay insights, LiveOps, and telemetry.
• Develop and maintain high-quality data pipelines (batch and real-time) that transform raw gameplay data into clean, structured datasets to be used by analytics, marketing, tech, and AI teams.
• Track and maintain data quality standards and build automated monitoring, alerting, and validation systems.

Our requirements

• 2+ years of experience in Data Engineering with a track record of building scalable data platforms and pipelines.
• Strong proficiency in Python; experience with Scala is a plus.
• Solid understanding of data modeling, warehousing, and analytics best practices — schema design, partitioning, versioning.
• Experience with cloud platforms (GCP, AWS, or Azure) and modern data stack tools.
• Hands-on experience with ETL/ELT orchestration (Airflow or similar).
• Ability to develop and maintain systems from early-stage MVP to high-volume production.
• High collaboration and communication skills
• Passion for games.

Optional

• Expertise in event streaming technologies (Kafka or similar) and real-time data processing.
• Experience in gaming, mobile products, or other high-event-volume environments.
• Knowledge of BI tools and analytics workflows.
• Familiarity with observability practices (logging, metrics, tracing) and data quality frameworks.

This is how we organize our work

This is how we work

Team members

What we offer

• An epic journey in the mobile RPG gaming industry.
• Flexible contract options: employment or B2B.
• Remote, in-office, or hybrid work.
• Opportunities for professional growth with a training budget.
• A fantastic team and many company events.
• Competitive benefits package.
• A modern office with all the essentials.

Benefits