Senior Data Platform Engineer — Cloud, Kafka & ML

Kambi Sweden AB; Stockholms län; On-site; SEK 900,000 - 1,200,000; Full time

Job summary

Kambi Group plc is a leading B2B provider of premium sports betting services to licensed gaming operators. We are building scalable data and ML infrastructure in the cloud, turning complex data into actionable insights to power decision-making across the business.

Join a highly skilled, self-organised engineering team focused on event-driven data pipelines, streaming work with Kafka and dbt/SQL, and model-serving in Python. We value curiosity, collaboration and continuous learning.

Qualifications

• 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, Argo CD).
• Familiarity with Kafka and dbt/SQL for streaming and transformations.
• Experience with Spark or similar distributed processing frameworks is a plus.

Responsibilities

• Collaborate with engineers and analysts to design, implement, and maintain cloud-native data and ML services.
• Build and optimise 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.

Skills

Java/Spring Boot

Python

Cloud platforms

CI/CD

Kafka

dbt/SQL

Spark

Tools

Jenkins

Argo CD

dbt/SQL

Job description

Kambi Group plc is a leading B2B provider of premium sports betting services to licensed gaming operators. We are building scalable data and ML infrastructure in the cloud, turning complex data into actionable insights to power decision-making across the business.

Join a highly skilled, self-organised engineering team focused on event-driven data pipelines, streaming work with Kafka and dbt/SQL, and model-serving in Python. We value curiosity, collaboration and continuous learning.