Senior Data Platform Engineer

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.
Stockholm — Hybrid
We are looking for a
Senior Data Platform Engineer
to join the team that builds and operates Kambi's data and model-serving capabilities behind our sportsbook platform. This platform powers automated decision-making across the business and directly influences risk management, behavior modeling, and operational insights.

You will work at the intersection of distributed systems, near real-time data processing, model serving, and cloud-native infrastructure — enabling ML-driven features that update in milliseconds. You'll join a skilled, self-organized, and friendly engineering team working on data-intensive systems that support near real-time decision-making across millions of events.

What You'll Work On
You'll collaborate closely with other backend engineers, data engineers, and quant specialists to:

• Build and evolve data pipelines and model-serving flows that support near real-time risk-related signals.
• Develop and maintain cloud-native backend services in AWS (K8s, Lambda, DynamoDB, MemoryDB).
• Work with streaming and event-driven systems (Kafka-based pipelines).
• Contribute to the lifecycle of operational ML models (feature generation, model execution, monitoring, deployments).
• Implement model serving workflows running on Java/Python microservices, AWS services, or scalable batch frameworks.
• Build resilient, observable infrastructure using Terraform, logging, metrics, tracing, and automated alerting.
• Shape how Kambi runs data and ML-powered systems at scale.
• Own services end-to-end, including deployments, performance tuning, incident handling, and on-call participation.
• This is a team environment, so problems are solved together, not in isolation.

What the Role Focuses On
This role
focuses on
:

• Distributed systems and backend engineering
• Data workflows, streaming, and model execution
• Production-grade infrastructure in AWS
• Collaboration with ML, Quant, and Data teams
• Reliability, testing, observability, and performance

Your Skills & Experience
Required

• Strong experience with Java (Spring Boot, microservices, distributed systems).
• Good working knowledge of Python for data processing or ML integration.
• Hands-on experience with Kafka or similar event-streaming technologies.
• Solid understanding of distributed architectures, concurrency, and high-throughput systems.
• Experience deploying to cloud environments (AWS preferred).
• Familiarity with SQL/NoSQL data stores and caching systems (Redis/MemoryDB/ElastiCache).
• Comfort with CI/CD, containers, Kubernetes, and Terraform as part of everyday work.

Highly Valued

• Experience supporting production ML pipelines, feature stores, or real-time scoring.
• Experience with Spark, Airflow, dbt, or similar tools in data transformation workflows.
• Knowledge of risk modeling, behavioral modeling, or real-time decision systems.
• Strong debugging skills in distributed, asynchronous, event-driven systems.

Who You Are

• A senior engineer who loves building systems, not just writing scripts.
• Someone who thrives in cross-functional collaboration with analysts, data scientists, and backend teams.
• A problem-solver comfortable with ambiguity, iteration, and evolving requirements.
• A hands-on engineer with architectural instincts — able to balance design with delivery.
• A team-oriented, humble professional who values collective success.

If some of this sounds intimidating, that's okay.
You don't need to tick every box. What matters most is that you're excited about the problems we're solving, motivated to learn, and eager to build reliable data systems together with a supportive team.

If this sounds like you, we'd love to hear from you.

Why Join Us

• A skilled, self-organized, and fun engineering team that supports one another
• A chance to shape the next generation of Kambi's data and ML infrastructure
• You get to work on complex, meaningful engineering problems
• Strong engineering culture, autonomy, and an environment that values quality
• Hybrid work, in-person collaboration, and a highly international company

We'd love to hear from you Please send your CV in English if this sounds like the kind of place where you can thrive and make an impact..

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.
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