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Esports data & odds provider

Data engineer

€40k – €70k • 0.0% – 1.0%
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PandaScore is the e-sports data provider. We collect real-time data about competitive matches on video games such as League of Legends, Overwatch or Dota 2. Then, we deliver it in real-time as odds & statistics through a REST API and Websockets to the e-sports ecosystem. We currently work with worldwide media, professional teams, and score apps among others to enable the growth of their business with our data!

To collect real-time data from e-sports, PandaScore extracts raw data from live video feeds (Twitch, Youtube Live, ...) using a Computer Vision & Deep Learning based software architecture.

PandaScore has been expanding to e-sports betting market for a few months now to become the first data provider in one of the most developed markets in the industry.

Why are we doing all this? 🤷

Sports is huge, no spoiler there. More recently video games have changed the way we experience entertainment (through streaming, easy matchmaking, and so on) and are reaching the same standard as traditional sports. E-sports is experiencing the same evolution as traditional sports have gone through over past decades but in just a few years. The growth is truly incredible.

At PandaScore we want to help the growth of the industry by providing data and odds to businesses. We want to have the most reliable and accurate data so products can be built in e-sport with the same, if not better, experience as sports. Our customers are using our data in an automatic and real-time way. This means that if we fail in any way there will be a big impact in a few milliseconds. As such, building robust products is key.

We also strongly believe that our combination of AI and Computer Vision can one day make a huge impact not just on e-sports, but on traditional sports as well. We are not closing any doors.

Learn more about our business here: medium.com/pandascore-stories/pandascore-where-esports-and-ai-meet-8d9078c021e5

Learn more about what it is like to work at PandaScore here: medium.com/pandascore-stories/what-its-like-to-work-at-pandascore-5622015f827f

What you’ll do 👇

To facilitate PandaScore’s growth, we are looking for the next PandaScore’s data engineer!
Your role will be to manage the extraction, the integrity and the distribution of our data in order to improve the performance, the scalability and allow every department of the company to access it easily.

As PandaScore's data engineer, you will:
- Build, scale and maintain our data pipeline architecture to process heterogeneous data sources.
- Build and manage the tools required for the extraction, the transformation and the loading of our data.
- Work closely with data scientists to construct creative solutions for their analysis tasks.
- Design and re-define our database constraints, set them up and make sure that they are respected.
- Identify and monitor errors, inconsistency of data; implement innovative solutions to fix it and create reports about that.
- Build visualization tools to facilitate data monitoring.

What you’ll need 💪

To be a part of PandaScore’s engineering team you will need:
- A wide ranged tech culture and strong experience in data engineering
- A good SQL knowledge and experience working with relational databases, query authoring (SQL) as well as be familiar with a variety of databases
- Some experience with relational SQL and NoSQL databases, such as Postgres or MySQL (Cassandra is a bonus)
- Experience building and optimizing data pipelines, architectures, and data sets is a bonus
- Experience with data pipeline tools (Kafka, Spark Streaming, or equivalent) is a bonus
- Be familiar with BI tools is a bonus

In short, you are:
* A strong technologist: you are an expert, and the team can rely on you for any data issue.
* Rigorous: you are detail-driven and organized.
* Proactive: you don't hesitate to suggest new ideas to improve your ways of working.
* Curious: you have a strong interest in Data Science and new technologies.
* Communicative: you have great listening skills and can easily adapt to your audience.

Our stack 🛠

- Backend: Elixir/Phoenix, Ruby on Rails, NodeJS
- Data science: Python, Keras, Pytorch, Tensorflow, Numpy
- Database/MQ: PostgreSQL, Cassandra, RabbitMQ, ElasticSearch, Redis, Rethinkdb, Memcached
- Infrastructure: Docker, Kubernetes, GCloud
- Front-end: React, Typescript, RxJs, Styled components, Storybook

Bonus points 👌

- You like automation
- You already have some experience with real-time infrastructures
- You are a gamer and love e-sports

What’s in it for you 🎁

- Gaming room (PS4, PCs, Switch)
- Video game credits 🤘
- Central office in Paris (Ⓜ️Bonne Nouvelle)
- Other usual perks (health insurance, transportation participation,...)
- Work in a fast-paced, high-growth industry with innovation as our motto

Join us! 🤝

- CDI
- 40k - 70k€ depending on your experience and track record + Shares
- No remote
- Paris, 40 rue de l’échiquier
- Start ASAP

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