
201 - 500 employees
Founded 2018
🎮 Gaming
🤝 B2B
👥 B2C
Gaming • B2B • B2C
Oddin. gg is a leading provider in the esports betting industry, offering a comprehensive suite of products that enhance betting experiences for both B2B platform providers and B2C operators. Their services include integration of esports odds, risk management solutions, and a user-friendly back-office platform to streamline operations. With a strong commitment to engaging new generations of bettors and ensuring integrity in esports betting, Oddin. gg is positioned as a market leader in this rapidly growing sector.
🔥 0 minutes ago
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201 - 500 employees
Founded 2018
🎮 Gaming
🤝 B2B
👥 B2C
Gaming • B2B • B2C
Oddin. gg is a leading provider in the esports betting industry, offering a comprehensive suite of products that enhance betting experiences for both B2B platform providers and B2C operators. Their services include integration of esports odds, risk management solutions, and a user-friendly back-office platform to streamline operations. With a strong commitment to engaging new generations of bettors and ensuring integrity in esports betting, Oddin. gg is positioned as a market leader in this rapidly growing sector.
• Design and maintain ingestion & transformation flows (dbt, SQL, Python). • Build reliable pipelines from ETLs, CDC, APIs, CSVs, and event streams into analytical models. • Ensure deduplication and data integrity for BI reporting. • Develop semantic and analytical models (fact/dimension tables, star/snowflake schemas). • Optimize query performance in BI warehouse (currently Athena with Iceberg but in the future maybe ClickHouse, Redshift, BigQuery or Starrocks). • Implement versioned entities and audit trails for business data. • Build pre-aggregations and semantic layers (Cube, dbt metrics and models). • Support dashboards and client-facing reports in Grafana. • Design KPIs and metrics with product, risk, and operations teams. • Implement validation checks (dbt tests, Pydantic). • Monitor data freshness, pipeline SLAs, and dashboard accuracy. • Set up alerts and documentation for business users. • Work closely with analysts, product managers, and operations to understand BI needs. • Expose data via APIs/semantic layers for self-service exploration. • Contribute to the design of rules for reporting policies and metric definitions.
• Experience : 3+ years in BI engineering, data engineering, or analytics engineering. • Data Warehouses : strong SQL skills, experience with at least one warehouse (Athena, Redshift, ClickHouse, Snowflake, BigQuery). • Modeling : hands-on with dimensional modeling, dbt, star/snowflake schemas, metric layers. • Programming : Python for transformations. • Data Quality : experience with validation, deduplication, audit logs. • CI/CD & Infra : GitHub Actions or similar, Terraform/CDK basics, containerized pipelines. • Mindset : detail-oriented, reliable, collaborative with business users. • Nice to Have • Knowledge of semantic layers (Cube, dbt metrics). • Experience with AWS and cloud Infrastructure. • Experience with client-facing dashboards. • Experience with Grafana or another BI visualization tool. • Familiarity with real-time analytics and pre-aggregations. • Esports fan.
• Opportunity to shape the BI architecture from the ground up. • Modern realtime analytics stack (dbt, Cube, Grafana, Postgres, Iceberg). • Collaborative, engineering-led environment with strong focus on analytics. • Experience immense potential for personal growth while contributing to an innovative team. • Work remotely or in a hybrid style – whatever suits you best. • Enjoy our luxurious Norse-myth-inspired offices in Prague. • Improve your English with company-sponsored language courses. • Participate in quarterly team-building activities to bond with your team.
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