Senior Data Platform Engineer

SwedenCompetitive0 applicants

About this role

About Kambi

Kambi Group plc is a leading B2B provider of premium sports betting services to licensed gaming operators. Our services provide an end-to-end solution for operators wanting to launch a standalone Sportsbook or bolster their existing offering with an innovative sports betting product. From front-end user interface to customer intelligence, risk management and odds compiling, all built on our in-house developed software, we strive to deliver the ultimate service and solution to our partners.

Our vision is to create the world’s leading sports betting experiences, together with our partners.

Responsibilities

  • Collaborate with engineers and analysts to design, implement, and maintain cloud-native data and ML services.
  • Build and optimize streaming and batch data workflows with Kafka, dbt/SQL, and related technologies.
  • Develop robust backend components and services in Java/Spring Boot and contribute to model-serving capabilities in Python where appropriate.
  • Contribute to architectural discussions and propose practical solutions in a fast-moving, exploratory environment.
  • Champion best practices in testing, monitoring, and observability to keep data products reliable and secure.
  • Desired Skills & Experience
  • (You don’t need to tick every box, strong skills in several areas plus willingness to learn are what matter most.)
  • Java/Spring Boot expertise (core requirement).
  • Proficiency in Python for data and ML workflows.
  • Hands-on experience with cloud platforms (AWS, GCP, or similar) and modern CI/CD pipelines (e.g., Jenkins,

About Kambi Sweden AB

Kambi Group plc is a leading B2B provider of premium sports betting services to licensed gaming operators. Our services provide an end-to-end solution for operators wanting to launch a standalone Sportsbook or bolster their existing offering with an innovative sports betting product. From front-end user interface to customer intelligence, risk management and odds compiling, all built on our in-house developed software, we strive to deliver the ultimate service and solution to our partners. Our vision is to create the world’s leading sports betting experiences, together with our partners. Purpose Be part of a highly skilled, self-organized engineering team building scalable data and machine-learning infrastructure in the cloud. You’ll help design and evolve event-driven data pipelines and model-serving capabilities that power high-value decision-making across the business, working closely with key stakeholders and quantitative analysts to turn complex data into actionable insights and deliver Player and Risk Management products.

EU Requirements

Job Details

Posted7 April 2026
Closes7 May 2026

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