Job Description

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

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.

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