Senior Data Platform Engineer

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

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.

Purpose

Be part of a highly skilled, self‑organised 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.

Key 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.

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

Personal Qualities (Critical for Success)

• Driven & Self‑Motivated – thrives when goals evolve and problems are ambiguous.
• Communicative & Collaborative – shares ideas openly and builds trust across disciplines.
• Curious & Adaptive – eager to explore new tools and approaches.
• Humble & Team‑Oriented – values collective achievement in a highly self‑organised team.

Interested in learning more? Please submit your CV and a cover letter — we’d love to hear from you!

Kambi's ongoing commitment to Diversity and Inclusion in the workplace

If you require any reasonable adjustment during the recruitment process, please notify your recruiter, who will assist you however they can. Diversity and inclusion is at the heart of who we are and who we aim to be. While we are proud of the positive and inclusive company culture we have created, we know we can do so much more. Kambi constantly evolves its Diversity and Inclusion strategy to ensure it becomes an even more inclusive and positive place to work, with the core management team reaffirming its commitment to delivering on employee feedback.

Creating an inclusive environment

We believe Kambi's greatest strength is the collective talent of our employees. Kambi is committed to ensuring we create an inclusive work environment where everyone can feel valued, thrive and achieve their potential, regardless of who they are or what their background is. We know that it is only by having a balance of different voices, values and opinions that Kambi is able to be the market leader it is today.