Game Data Operations specialist

Welcome to Torrero - all-in-one source for cutting-edge white label casino, sportsbook solutions and B2B aggregation. Built on a foundation of trust and compliance, we proudly offer an extensive library of 30,000+ games sourced from diverse providers, positioning Torrero as the preferred partner for transforming the iGaming enterprise. With huge number of sports events and easy payment options, we cater to diverse interests. Available in 35+ languages, we make gaming accessible worldwide. 

If you like a fast paced, dynamic and start-up work culture with full of passionate and enthusiastic mindsets, you’re most welcome to explore the opportunity. This is a chance to take part in an exciting journey as the company grows and expands its business at a rapid pace.

About the Role: 

We are looking for someone to own the full cycle of game data operations - from collecting metadata directly from providers to keeping the database accurate and complete across all active markets.  We need someone who understands game data structures, can work with providers at a technical level, spots discrepancies across sources, and knows how to resolve them.

What You’ll Do: 

• Collect, verify, and structure game metadata (RTP, volatility, mechanics, features, market restrictions) across all active providers
• Build and maintain direct communication with provider account managers: scheduled updates, data requests, discrepancy resolution
• Own and maintain the central game database - accuracy, completeness, and timeliness across all markets
• Support provider onboarding: systematize assets, data feeds, and documentation
• Build repeatable processes where manual work currently exists

What We’re Looking For: 

• Hands-on experience in iGaming - understanding of game data and provider ecosystems is non-negotiable
• Solid knowledge of game mechanics, product types, and provider portfolio structures
• Strong Excel skills and comfort with structured data formats (JSON, feeds, tables)
• Ability to identify and resolve data discrepancies across multiple sources
• Fluent English, Russian good to have
• High attention to detail - errors here mean bad data in production or regulatory reports

Nice to Have: 

• Practical experience using AI tools to accelerate operational workflows
• Experience automating large-scale data processing tasks

We offer:

• Fully remote job - work from anywhere you want
• Flexible working hours
• Competitive compensation
• 28 paid days off per year
• 3 paid sick days a year without medical certificate
• Seniority leave
• Birthday Day off
• Real career opportunities and professional growth
• The great team across the world

Hiring Stages: 

• Test Task 
• Intro call 
• Hiring Manager round 
• References check 
• Job offer