Senior Data Platform Engineer – Cloud & ML Pipelines

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

Job summary

A leading sports betting service provider in Sweden is seeking a skilled engineer to build scalable data and machine-learning infrastructure in the cloud. You will collaborate with a talented team to design data pipelines and model-serving capabilities, leveraging your expertise in Java/Spring Boot and Python. The ideal candidate is driven and communicative, with experience in cloud platforms and a passion for innovative solutions. We're committed to diversity and creating an inclusive work environment.

Qualifications

• Core requirement is expertise in Java/Spring Boot.
• Proficiency in Python is essential for ML workflows.
• Experience with cloud platforms (AWS, GCP) is needed.

Responsibilities

• Design and maintain cloud-native data and ML services.
• Build streaming and batch data workflows with Kafka and SQL.
• Develop robust backend components in Java/Spring Boot.

Skills

Java/Spring Boot expertise

Proficiency in Python for data and ML workflows

Hands-on experience with cloud platforms (AWS, GCP)

Familiarity with Kafka and dbt/SQL

Experience with Spark or similar frameworks

Job description

A leading sports betting service provider in Sweden is seeking a skilled engineer to build scalable data and machine-learning infrastructure in the cloud. You will collaborate with a talented team to design data pipelines and model-serving capabilities, leveraging your expertise in Java/Spring Boot and Python. The ideal candidate is driven and communicative, with experience in cloud platforms and a passion for innovative solutions. We're committed to diversity and creating an inclusive work environment.