Sports Data Lead - Alternative Data

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.