Prematch is hiring a
Sr Software Engineer - Data (m/f/d)

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Read by 186 job seekers.


Hey, You! Nice to meet you!
As the super-platform for non-professional soccer in Europe, we bring pro-level experiences (news, data, gamification) to the mega-community of +190 million footballers and soccer fans.

We are a startup founded in 2021 in Cologne, Germany. Our team consists of smart and "hungry" members working on Prematch in our offices in Cologne and Berlin (Marketing & Business Team) or remotely across Europe (Tech & Product Team).

We are supported by partners like adidas, Krombacher, Flaschenpost and Scalable Capital, but there are still some bangers in the pipeline that you can be excited about! Furthermore, we are supported by successful investors like Ralf Reichert, the CEO of ESL or the entrepreneur Verena Pausder.

Notably, footballers Serge Gnabry and David Raum, as well as the Jürgen Klopp family office, are also invested in Prematch, adding to our stellar support network.
Already a good match if you....
  • love building for a passionate user group
  • want to build data pipelines and features that ship directly int our users' hands
  • care passionately about clean data and know that you achieve it iteratively
  • live within the EU
  • like to work in a small team & startup
… ​That fits already? Then you should read on!
Main information
  • remote option: you decide - 100% remote (Germany or EU-wide), top office in Cologne/Berlin or a combination of both
  • Start: Immediately (flexible start)
  • Scope: 40 hours (full time)
  • Areas of Responsibility: Data
  • Current Tech Stack that we use: python, PostgreSQL, kubernetes, grafana, metabase, Segment, Amplitude, pulumi, AWS
  • quick, easy & transparent application process
For this we need you
  • You will play a critical role in implementing robust data capabilities around our product, enabling data-driven insights and enhancing the overall user experience.
  • You will do not only the typical Data Engineering work but build data experiences directly for our users.
  • You will be responsible for designing, developing, and maintaining our data systems, ensuring high-quality data collection, processing, analysis, and experiences.
  • You will improve our data and software engineering practices and introduce new ones.
…Still exciting? Continue here!
Your mission
  • You build data experiences that land directly in the hands of our users. This includes our data features like Prematch Facts, Fantasy Points, Market Value, Newsfeed, and many more.
  • Design, develop, and maintain scalable data pipelines and systems for efficient data collection, storage, and processing.
  • Ensure data quality through rigorous checks, validation, and cleansing techniques.
  • Stay updated on emerging data engineering technologies and contribute to continuous improvement of our data stack, architecture and infrastructure.
  • Monitor and troubleshoot data pipeline issues, performance bottlenecks, and anomalies.
What do you need
  • Experience in development with Python.
  • Deep passion for data quality.
  • Experience with databases (especially SQL) and data modeling.
  • Familiarity with web scraping techniques and tools.
  • You have your residence within the EU.
  • You have very good language skills in English (German skills are not required).
Advantage but not a must
  • Knowledge about recommender systems.
  • Experience with all tools in our Tech Stack
Why us?
  • Be one of the first to make Prematch great
  • A salary that stands up to the competition
  • Shares (VSOP) for employees - you participate directly in success
  • Flexible work culture, with all remote options
  • We'll help you if you want to move to our hub in Cologne, Germany
  • You will be equipped with suitable IT by us & the choice is yours: PC or Mac
  • Flexible working hours and at least 25 days of vacation per year
  • Regular team events and offsites
Right up your alley?
Then let's not waste any time! All we need is your current CV. You can easily submit further information about yourself in our short application form. Lisa will then get in touch with you!

We can't wait to find out more about you!

Estimated Salary range:

Our salary intelligence, powered by our AI algorithms, has calculated an estimated range for this position between $70,000 - $90,000 . Please note that the actual salary for this position may vary, as it is dependent on various factors including but not limited to experience, location, and market dynamics.

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