Unlok is building a next-generation real-time and historical data platform for event-driven markets.

We're looking for a Sports Data Lead to build our sports data foundation from the ground up.

What You'll Do

• Source and evaluate sports data feeds, APIs, and providers
• Build canonical datasets across teams, players, leagues, games, and events
• Map and reconcile data across multiple sources
• Own data quality, accuracy, latency, and historical integrity
• Define rules for postponements, cancellations, corrections, and other edge cases
• Work closely with engineers to build scalable ingestion and data pipelines
• Expand coverage across major global sports

What We're Looking For

• 4+ years working professionally with sports data
• Deep understanding of sports events, schedules, results, and data structures
• Experience with Sportradar, Stats Perform/Opta, Genius Sports, SportsDataIO, TXODDS, or similar
• Strong SQL + practical Python
• Experience with APIs, data normalization, and entity resolution
• Exceptional attention to detail and data-quality mindset

Bonus

• Experience with real-time data pipelines and streaming systems
• Experience in betting, financial, or prediction markets
• Familiarity with ClickHouse, PostgreSQL, Kafka, or AWS
• PhD in a relevant field is a plus

Not a sports betting, handicapping, or trading-strategy role.

If you love sports data and want to build something from scratch, we'd love to hear from you.