Senior Python Engineer, DataFeed Team

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.

The 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.

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.

The 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.

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.

• 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
• Work on domain models for events, competitions, participants, markets, odds, scores, and related sports entities
• Investigate production issues, trace data problems, and improve system observability
• Collaborate with backend, product, trading, QA, and platform teams to deliver dependable data flows
• Contribute to architecture decisions, code reviews, technical standards, and mentoring within the squad
• 5+ years of strong production experience with Python