Fliff

Senior Python Engineer, DataFeed Team

Berlin, Germany full-time Mid Salary not listed
full-time Mid level Technology & IT Curated
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About the role

Fliff is the arena for high-upside play. We are dismantling the paywalls of legacy sportsbooks and reimagining the economics of social games to pioneer the next generation of rewards-driven entertainment spanning sports, casino, predictions, collectibles, and beyond.

Powered by a frictionless freemium architecture, Fliff democratizes access and gives millions of players nationwide a real stake, real thrill, and real upside. By combining authentic competitive drive with instant rewards and interactive games, we are turning passive sports fans and casual gamers into active, empowered participants – unlocking the player in everyone.

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.

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

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

What We're Looking For

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

What Makes This Role Interesting

Sports data is full of real-world complexity. Providers disagree. Events change. Markets open and close. Names, IDs, schedules, scores, and statuses need to be mapped, checked, and trusted.

In the DataFeed Squad, you’ll work on systems where correctness matters, latency matters, and operational visibility matters. You’ll have room to shape architecture, improve reliability, and build tools that make the whole engineering organization more effective.

We are a multinational company with our headquarters based in Philadelphia, and offices in New York, Austin, and Sofia, Bulgaria. Wherever we are in the world, we pride ourselves on being a close-knit, focused team that is welcoming and friendly, and the work that we do is always interesting and rewarding. Wherever we are in the world, we pride ourselves on being a close-knit, focused team that is:

Welcoming and Friendly

We want to reflect the diversity of the cities we serve. By creating an inclusive culture where everyone can thrive, we’ll make Fliff better for employees and customers alike.

Lively and Creative

We respect and value each other’s ideas, experience and expertise. There is no such thing as a bad idea; only ideas that are executed and ideas that are discarded after consideration.

Stimulating and Rewarding

We know bright minds love a challenge, and we understand your desire to see your hard work pay off. We’ll make sure your daily tasks align with your career ambitions as we grow together.

Equal Employment Opportunity Statement

Fliff is an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.

Join Our Team!

If you're ready to be part of an exciting, innovative, and dynamic team, apply now to help shape the future of sports gaming with Fliff.

 

IMPORTANT NOTICE: The privacy and security of applicant information is paramount and we take fraud attempts very seriously. Please note that Fliff will never ask for payment or personal financial information during the application process. All of our legitimate job opportunities can be found on our official career site (https://www.getfliff.com/careers). Please be cautious of communications and links that come from non-company email addresses ----- social media messaging platforms or unsolicited phone calls.
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Interview prep

Walk in with sharper answers.

Use this as a quick practice sheet before you speak with the employer.

Mid
Technology & IT MySQL Python SQL Senior Engineer Mid level

Likely questions

  1. Tell us about work you have done that is close to the Senior Python Engineer, DataFeed Team role.
  2. How would you approach your first 30 days at Fliff?
  3. Which of MySQL, Python and SQL have you used recently, and what did it help you achieve?
  4. Describe a time you solved a problem without waiting to be told exactly what to do.
  5. How do you handle busy days, changing priorities, or pressure at work?

Prepare before the call

  • A recent example that proves your experience with MySQL, Python and SQL.
  • One short story with a problem, your action, and the result.
  • Two examples that show the strengths listed on your CV.
  • A clear reason why this role and company interest you.
  • Your availability, preferred work style, and salary expectations.

Ask them

  • What would success look like in the first 90 days?
  • What are the main problems this hire should help solve?
  • How does the team give feedback and measure good work?
  • What does a normal working week look like for this role?
Practice line

I am interested in the Senior Python Engineer, DataFeed Team role because I can bring practical experience in MySQL, Python and SQL, learn the team quickly, and contribute to the outcomes Fliff needs from this hire.

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