Sports Data Infrastructure Specialist

4 weeks ago


Stockholm, Stockholm, Sweden KAMBI Full time

About Kambi

Kambi Group plc is a leading provider of premium sports betting services. We offer an end-to-end solution for operators wanting to launch a standalone Sportsbook or enhance their existing offering with a cutting-edge product.

Our vision is to create exceptional sports betting experiences, in partnership with our clients.

About Tzeract:

Tzeract is a pioneering AI pricing company operating within the larger ecosystem of Kambi Group. Our mission is to revolutionize the sports betting industry by leveraging advanced technology and analytics to deliver next-generation experiences.

We are seeking a skilled Data Engineer with a passion for sports and statistics to join our dynamic team. This role plays a pivotal part in designing, building, and maintaining data infrastructure, ensuring seamless flow and integrity of large-scale sports data sets. You will work closely with our data scientists and developers, transforming complex data into actionable insights that drive our AI algorithms.

Responsibilities:

  • Develop and maintain scalable data pipelines for real-time and historical sports data ingestion, processing, and analysis using Python and AWS services.
  • Implement and manage cloud-based solutions to ensure high availability, performance, and security of our data infrastructure.
  • Collaborate with data scientists to understand data requirements for AI model development and provide necessary support.
  • Apply expertise in statistics and data analysis to enhance data quality and effectiveness of our AI algorithms.
  • Monitor data pipelines and system performance, troubleshoot data issues, and implement optimizations.
  • Stay updated with the latest technologies and methodologies in data engineering and sports analytics to continuously improve our data systems.

Qualifications:

  • Bachelor's degree in Computer Science, Engineering, Mathematics, Statistics, or a related field.
  • 3+ years of experience in data engineering, with a strong proficiency in Python.
  • Extensive experience with AWS services (e.g., S3, EC2, RDS, Lambda, Redshift) and managing cloud-based data infrastructure.
  • Solid understanding of data modeling, ETL processes, and data warehousing principles.
  • Experience with real-time data processing and streaming technologies is highly desirable.
  • A good eye for statistics and experience in statistical modeling or analysis.
  • Possession of a valid passport for international travel.

We estimate a salary range of $120,000 - $180,000 per annum based on local market rates and your level of experience.

We are committed to creating a positive and inclusive workplace culture, where everyone can feel valued, thrive, and achieve their potential.


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