Senior Python Engineer, DataFeed Team

About This Opportunity

We are representing a fast-growing social gaming organization seeking a Senior Python Engineer to join their DataFeed engineering team in Berlin. This role sits at the intersection of sports data infrastructure and real-time platform reliability—you'll build the systems that ingest, normalize, and distribute external sports data feeds that power live gaming experiences.

This is not a generic backend position. You will work directly with sports domain concepts: events, leagues, teams, players, markets, odds, scores, and schedules. Your systems will handle provider-specific edge cases, ensure data correctness, and support real-time product experiences for a highly engaged user base.

Responsibilities

• Design, build, and maintain Python services for sports data ingestion, transformation, and distribution
• Integrate with third-party sports data providers and manage differences between provider models, formats, and update patterns
• Build reliable pipelines for near real-time and batch data processing
• Develop and improve data validation, reconciliation, monitoring, alerting, and replay tooling
• Design 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
• Participate in on-call rotations

What We're Looking For

Required:

• 5+ years of strong production experience with Python
• Experience designing and operating backend services in production environments
• Solid Django experience with asynchronous programming skills (asyncio)
• Production experience with Apache Kafka
• Solid understanding of APIs, distributed systems, async processing, and data pipelines
• Strong SQL skills and experience with relational databases, especially PostgreSQL
• Experience integrating with external APIs, feeds, or third-party data providers
• Ability to reason carefully about data correctness, edge cases, and failure modes
• Experience with monitoring, logging, alerting, and debugging production systems
• Senior ownership mindset: you can break down ambiguous problems, make pragmatic technical decisions, and communicate clearly
• Strong problem-solving skills and comfort conducting code reviews

Nice to Have:

• Experience in sports betting, gaming, fantasy sports, sports data, fintech, trading, or other real-time data domains
• Experience with Go/Golang, especially for high-throughput backend services or performance-sensitive systems
• Experience with event-driven architecture or message queues
• Experience building data validation, reconciliation, or replay systems
• Cloud, Docker, Kubernetes, or infrastructure-as-code experience
• Interest in using AI-assisted engineering tools thoughtfully to improve development speed and quality

How We Work With You

Our talent team at Get A Job.ai partners with you throughout the hiring process. When you apply through our platform, one of our recruiters will conduct an initial screening to understand your background and goals. If there's a strong match, we will submit your profile to our client for consideration. Please do not contact the client directly—all communication and coordination will flow through Get A Job.ai to ensure a smooth, professional process.

Pay

Compensation details will be discussed during the interview process and are competitive with the Berlin market for senior engineering roles.

Equal Employment Opportunity: Get A Job.ai is committed to inclusive hiring practices. We welcome candidates of all backgrounds and do not discriminate on the basis of race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.