Data Engineer

FAVBET Tech develops software that is used by millions of players around the world for the international company FAVBET Entertainment.

Main areas of work:

• Game Development — driving the end-to-end engineering process for innovative, engaging, and mathematically precise games tailored to global markets.
• Mechanics & Player Experience — overseeing the creation of core gameplay logic and features that maximize engagement and retention while also leading the development of back office admin panels for game configuration, monitoring, and operational efficiency.
• Data-Driven Game Design — implementing analytics and big data solutions to measure player behavior, guide feature development, and improve monetization strategies.
• Cloud Services — we use cloud technologies for scaling and business efficiency.

Responsibilities:
 

• Design, build, install, test, and maintain highly scalable data management systems.
• Develop ETL/ELT processes and frameworks for efficient data transformation and loading.
• Implement, optimize, and support reporting solutions for the Sportsbook domain.
• Ensure effective storage, retrieval, and management of large-scale data.
• Improve data query performance and overall system efficiency.
• Collaborate closely with data scientists and analysts to deliver data solutions and actionable insights.

Requirements:
 

• At least 2 years of experience in designing and implementing modern data integration solutions.
• Master’s degree in Computer Science or a related field.
• Proficiency in Python and SQL, particularly for data engineering tasks.
• Hands-on experience with data processing, ETL (Extract, Transform, Load), ELT (Extract, Load, Transform) processes, and data pipeline development.
• Experience with DBT framework and Airflow orchestration.
• Practical experience with both SQL and NoSQL databases (e.g., PostgreSQL, MongoDB).
• Experience with Snowflake.
• Working knowledge of cloud services, particularly AWS (S3, Glue, Redshift, Lambda, RDS, Athena).
• Experience in managing data warehouses and data lakes.
• Familiarity with star and snowflake schema design.
• Understanding of the difference between OLAP and OLTP.

Would be a plus:
 

• Experience with other cloud data services (e.g., AWS Redshift, Google BigQuery).
• Experience with version control tools (e.g., GitHub, GitLab, Bitbucket).
• Experience with real-time data processing (e.g., Kafka, Flink).
• Familiarity with orchestration tools (e.g., Airflow, Luigi).
• Experience with monitoring and logging tools (e.g., ELK Stack, Prometheus, CloudWatch).
• Knowledge of data security and privacy practices.

We can offer:

• 30 days of paid vacation and sick days — we value rest and recreation. We also comply with the national holidays.
• Medical insurance for employees and the possibility of training employees at the expense of the company and gym membership.
• Remote work; after Ukraine wins the war — our own modern lofty office with spacious workplace, and brand-new work equipment (near Pochaina metro station).
• Flexible work schedule — we expect a full-time commitment but do not track your working hours.
• Flat hierarchy without micromanagement — our doors are open, and all teammates are approachable.