> Markdown version of [/jobs/ext/1415152-senior-python-engineer-datafeed-team](https://www.wearedevelopers.com/jobs/ext/1415152-senior-python-engineer-datafeed-team). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Python Engineer, DataFeed Team - **Company:** Fliff - **Location:** Berlin, Germany - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Cloud Computing, Code Review, Data Validation, Relational Databases, Database Queries, Software Debugging, Distributed Systems, Django Web Framework, Python (Programming Language), PostgreSQL, Queueing Systems, Redis, Data Streaming, Systems Integration, Data Logging, Data Processing, Data Ingestion, Backend, Event Driven Architecture, Kubernetes, Real Time Data, Apache Kafka, Asynchronous Programming, Data Pipelines, Docker, Web Api, Golang - **Published:** July 24, 2026 - **Apply:** https://www.adzuna.de/details/5810711350 ## About the Role * 5+ years of strong production experience with Python * Experience designing and operating backend services in production * Solid Django experience (not necessarily expert level), 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 * A senior ownership mindset: you can break down ambiguous problems, make pragmatic technical decisions, and communicate clearly * Strong problem-solving skills and comfort doing code reviews * Willingness to participate in on-call rotations Nice To Have * Experience in sports betting, gaming, fantasy sports, sports data, fintech, trading, or other real-time data domains * Experience with Django, Kafka, Redis, PostgreSQL, or similar technologies * Experience with Go / Golang, especially for high-throughput backend services, data processing, 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 ## Description 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 * 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 ## Related Videos - [Python-Based Data Streaming Pipelines Within Minutes](https://www.wearedevelopers.com/videos/1233-python-based-data-streaming-pipelines-within-minutes) - [Reducing LLM Calls with Vector Search Patterns - Raphael De Lio (Redis)](https://www.wearedevelopers.com/videos/1714-reducing-llm-calls-with-vector-search-patterns-raphael-de-lio-redis) - [Go with the Flow: Stop the Leaks Before Your Memory's a Waterfall!](https://www.wearedevelopers.com/videos/100073-go-with-the-flow-stop-the-leaks-before-your-memory-s-a-waterfall) - [Docker Compose: Rediscovered](https://www.wearedevelopers.com/videos/1978-docker-compose-rediscovered) - [Let's Get Started With Apache Kafka® for Python Developers](https://www.wearedevelopers.com/videos/565-let-s-get-started-with-apache-kafka-for-python-developers) - [Accelerating Authentication Architecture: Taking Passwordless to the Next Level](https://www.wearedevelopers.com/videos/733-accelerating-authentication-architecture-taking-passwordless-to-the-next-level) ## Related Articles - [The 13 Best Python Libraries for Developers in 2025](https://www.wearedevelopers.com/magazine/371-the-13-best-python-libraries-for-developers-in-2025) - [The Biggest German Tech Companies](https://www.wearedevelopers.com/magazine/424-the-biggest-german-tech-companies) - [The 7 Most Popular Backend Frameworks for Developers](https://www.wearedevelopers.com/magazine/403-the-7-most-popular-backend-frameworks-for-developers) - [Backend Developer Salary in Germany [2023]](https://www.wearedevelopers.com/magazine/196-backend-developer-salary-in-germany-2023) - [Dev Digest 121 - AI goes offline](https://www.wearedevelopers.com/magazine/456-dev-digest-121-ai-goes-offline) - [How Much FAANG Companies Actually Pay Software Engineers in 2025](https://www.wearedevelopers.com/magazine/230-how-much-faang-companies-actually-pay-software-engineers-in-2025)