Senior Python Engineer: Real-Time Sports Data

JobCubby; Warszawa; On-site; PLN 180,000 - 260,000; Full time

Job summary

Fliff is seeking a Senior Python Engineer to help build the data ingestion and processing systems behind our sports data platform. You will design Python services, work with streaming data from providers, and ensure correctness and observability in near real-time pipelines.

You will collaborate with backend, product, QA, and platform teams, own components, and help shape architecture while participating in on-call rotations.

Qualifications

• 5+ years of production experience with Python.
• Experience designing and operating backend services in production.
• Solid Django experience with asynchronous programming (asyncio).
• Production experience with Apache Kafka.
• Strong SQL skills and PostgreSQL expertise.
• Experience integrating with external APIs or data providers.
• Ability to reason about data correctness and failure modes.
• Experience with monitoring, logging, and debugging production systems.

Responsibilities

• Design, build, and maintain Python services for sports data ingestion, transformation, and distribution.
• Integrate with third-party sports data providers and handle format differences.
• 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.
• Investigate production issues, trace data problems, and improve observability.
• Collaborate with backend, product, trading, QA, and platform teams to deliver dependable data flows.
• Contribute to architecture decisions, code reviews, and mentoring within the squad.

Skills

Python

Django

Asyncio

Kafka

APIs

PostgreSQL

Data pipelines

Distributed systems

Tools

Redis

Go

Job description

Fliff is seeking a Senior Python Engineer to help build the data ingestion and processing systems behind our sports data platform. You will design Python services, work with streaming data from providers, and ensure correctness and observability in near real-time pipelines.

You will collaborate with backend, product, QA, and platform teams, own components, and help shape architecture while participating in on-call rotations.