Data Engineer

4 weeks ago


Stockholm, Stockholm, Sweden KAMBI Full time
About Kambi

Kambi Group plc is a leading provider of premium sports betting services to licensed gaming operators. Our comprehensive solution encompasses front-end user interface, customer intelligence, risk management, and odds compilation, all built on our in-house developed software. We strive to deliver exceptional service and solutions to our partners.

About Tzeract

Tzeract is a pioneering sports betting AI pricing company operating within the Kambi Group ecosystem. Our mission is to revolutionize the sports betting industry by leveraging cutting-edge technology and advanced analytics. We focus on historical and real-time sports data to build systems that outperform the market and deliver value to our users.

Role Overview

We're seeking a skilled Data Engineer with a passion for sports and statistics to join our dynamic team. This role is crucial in designing, building, and maintaining our data infrastructure, ensuring seamless data flow and integrity. You will collaborate with data scientists and developers to turn complex data into actionable insights driving our AI algorithms.

Responsibilities
  1. Develop and maintain scalable data pipelines for real-time and historical sports data ingestion, processing, and analysis using Python and AWS services.
  2. Implement and manage AWS cloud-based solutions for high availability, performance, and security of our data infrastructure.
  3. Collaborate with data scientists to understand data requirements for AI model development and provide necessary data engineering support.
  4. Apply statistical expertise to enhance data quality and effectiveness of our AI algorithms.
  5. Monitor data pipelines and systems performance, troubleshoot data issues, and implement optimizations.
  6. Stay updated with the latest technologies and methodologies in data engineering and sports analytics to continuously improve our data systems.
Qualifications
  1. Bachelor's degree in Computer Science, Engineering, Mathematics, Statistics, or a related field.
  2. 3+ years of experience in data engineering, with strong proficiency in Python.
  3. Extensive experience with AWS services and managing cloud-based data infrastructure.
  4. Solid understanding of data modeling, ETL processes, and data warehousing principles.
  5. Experience with real-time data processing and streaming technologies is highly desirable.
  6. A good eye for statistics and experience in statistical modeling or analysis.
  7. Passion for sports and sports data analysis is a plus.
  8. Excellent problem-solving skills and ability to work in a fast-paced startup environment.
Why Join Us
  1. Be part of a cutting-edge project shaping the future of sports betting.
  2. Work in an environment valuing innovation, collaboration, and data-driven approach.
  3. Enjoy a competitive salary, comprehensive benefits, and flexible working arrangements.
  4. Engage in continuous learning and growth opportunities within an ambitious tech startup.

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