EU Data Engineer

  • full_time
  • Germany
  • €48k - €90k
  • Salary: €48k - €90k


Sporty’s sites are some of the most popular on the internet, consistently staying in Alexa’s list of top websites for the countries they operate in


As a Data Engineer at Sporty, you will play a critical role in ensuring the smooth processing and handling of data for our machine learning and data science initiatives. Your primary responsibilities will include designing, building, testing, optimising, and maintaining data pipelines and architectures for various aspects of our rapidly growing business.


Who We Are


Sporty Group is a consumer internet and technology business with an unrivalled sports media, gaming, social and fintech platform which serves millions of daily active users across the globe via technology and operations hubs across more than 10 countries and 3 continents.

The recipe for our success is to discover intelligent and energetic people, who are passionate about our products and serving our users, and attract and retain them with a dynamic and flexible work life which empowers them to create value and rewards them generously based upon their contribution.

We have already built a capable and proven team of 300+ high achievers from a diverse set of backgrounds  and we are looking for more talented individuals to drive further growth and contribute to the innovation, creativity and hard work that currently serves our users further via their grit and innovation.




  • Design, develop and maintain scalable batch ETL and near-real-time data pipelines and architectures for various parts of our business, on fast and versatile data sources with millions of changes per day
  • Ensure all data provided is of the highest quality, accuracy, and consistency
  • Identify, design, and implement internal process improvements for optimising data delivery and re-designing infrastructure for greater scalability
  • Builds out new API integrations to support continuing increases in data volume and complexity
  • Communicate with data scientist, MLOps engineers, product owners and BI analysts in order to understand business processes and system architecture for specific product features




  • Bachelor’s degree, or equivalent experience, in Computer Science, Engineering, Mathematics, or a related technical field
  • 3+ years of experience in data engineering, data platforms, BI or related domain
  • Experience in successfully implementing data-centric applications, such as data warehouses, operational data stores, and data integration projects
  • Experience with large-scale production relational and NoSQL databases
  • Experience with data modelling
  • General understanding of data architectures and event-driven architectures
  • Proficient in SQL
  • Familiarity with one scripting language, preferably Python
  • Experience with Apache Airflow & Apache Spark
  • Solid understanding of cloud data services: AWS services such as S3, Athena, EC2, RedShift, EMR (Elastic MapReduce), EKS, RDS (Relational Database Services) and Lambda


Nice to have:


  • Understanding of ML Models
  • Understanding of containerisation and orchestration technologies like Docker/Kubernetes
  • Relevant knowledge or experience in the gaming industry


  • Quarterly and flash bonuses
  • We have core hours of 10am-3pm in a local timezone, but flexible hours outside of this
  • Education allowance
  • Referral bonuses
  • 28 days paid annual leave
  • 2 x annual company retreats (Lisbon + Dubai in 2022 / Phuket in Q2 2023 + 1 more TBC!)
  • Highly talented, dependable co-workers in a global, multicultural organisation
  • Payment via world class online wallet system DEEL
  • Top of the line equipment supplied by market leader Hofy
  • We score 100% on The Joel Test
  • Our teams are small enough for you to be impactful
  • Our business is globally established and successful, offering stability and security to our Team Members


Interview Process


  • HackerRank Test 
  • Remote video screening with our Talent Acquisition Team + live ID check
  • Remote 90 min video interview loop with 3 x Team Members (30 mins each)
  • Pre offer call with Talent Acquisition Team
  • ID check via Zinc
  • 24-72 hour feedback loops throughout process




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