Senior Python Engineer, DataFeed Team
Pubblicato il 12-08-2026 - Fliff in Milano
Fliff unpacks sports gaming into social, free‑to‑play games for all types of sports fans. We've built a social sports gaming experience that allows users to compete for leaderboard positioning, to achieve badges and build their status within the game. We are pioneering play‑for‑fun sports gaming, with our flagship social sportsbook experience that includes sweepstakes promotions and loyalty rewards. We provide sports fans with fun, engaging, and free‑to‑play alternatives to real money gaming. Fliff is building sports gaming and entertainment products for a fast‑moving, highly engaged audience. Behind every market, event, contest, player prop, and in‑app experience is a data platform that needs to be accurate, reliable, and fast.
DataFeed Team owns the systems that bring external sports data into Fliff: ingesting feeds, normalizing provider‑specific formats, validating data quality, and making that data available to the rest of the platform.
About The Role
We are looking for a Senior Python Engineer to help us build and evolve the core systems behind Fliff’s sports data platform.
This is not a generic backend role. You will work close to the domain: sports events, leagues, teams, players, markets, odds, scores, schedules, and provider‑specific edge cases. You will help make sure our data is correct, timely, observable, and resilient when external feeds behave unpredictably.
You’ll join a squad where engineering decisions have direct product impact. The systems you build will support real‑time experiences across Fliff and help our teams move faster with confidence.
What You’ll Do
- Design, build, and maintain Python services for sports data ingestion, transformation, and distribution
- Integrate with third‑party sports data providers and handle differences between provider models, formats, and update patterns
- Build reliable pipelines for near real‑time and batch data processing
- Improve data validation, reconciliation, monitoring, alerting, and replay tooling