Senior Data Engineer

Being a part of such a fast-moving industry as iGaming, the company knows no limits and is growing rapidly through its dedication to innovation and constant improvement. This is the reason why we are expanding our Platform Department team and now we are looking for some fresh and enthusiastic people to come and join us in the exciting digital world of iGaming.


  • Develop and evaluate data structures and schemas, improve new and existing data sources for the repository
  • Ensure data quality, integrity, and consistency across all data streams and storage systems
  • Collaborate with data scientists to understand their requirements and assist in feature engineering & data modeling for machine learning models
  • Manage and optimize data solutions, including real-time data processing and high-performance analytical databases, with flexibility to deploy other appropriate data storage options as required
  • Implement best practices for data management, security, and compliance
  • Monitor and troubleshoot data pipeline performance, identifying and resolving bottlenecks and other issues
  • Stay updated with the latest industry trends and technologies to continuously improve our data infrastructure
  • Document all process and code to ensure reproducibility and knowledge sharing within the team


  • Bachelor’s or Master’s degree in Computer Science, Data Engineering, Information technology, or a related field
  • Proven skills in SQL and Python. Experience with Java or Scala will be considered as an advantage
  • Demonstrated track record in the capacity of a Data Engineer or equivalent position, showcasing expertise in overseeing data streams and databases
  • Expertise in working with data streaming platforms such as Kafka or RabbitMQ
  • Experience with RDBMS solutions like PostgreSQL, MySQL, etc.
  • Solid understanding of data architecture, ETL processes, and data warehousing
  • Excellent problem-solving skills and the ability to work in a fast-paced, dynamic environment
  • Strong communication and collaboration skills, with the ability to work effectively with cross-functional teams
  • Experience with cloud-based data storage and processing solutions such as Amazon Redshift, Google Cloud Big Table, Snowflake Data Cloud, etc.
  • Knowledge of machine learning and data science workflows

What we offer

  • Competitive salary
  • Performance-based annual bonus
  • Performance evaluation & salary review twice a year
  • 25 days paid annual leave
  • Work from home option -2 days weekly
  • Flexible working schedule
  • Additional health insurance – premium package
  • Fully paid annual transportation card
  • Fully paid Sports card
  • Free company shuttle by the office
  • Sports Teams/Sports events
  • Professional development, supportive company culture, and challenging projects
  • Company-sponsored trainings
  • Tickets for conferences and seminars
  • Team building events and office parties
  • Referral Program
  • Free snacks, soft drinks, coffee, and fruit are always available
  • Birthday, newborn baby, and first-grader bonuses
  • Corporate discounts in various shops and restaurants
  • State-of-the-art modern office
  • Positive working environment and chill-out zone (PS4, foosball-table, and lazy chairs)


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