Senior Data Platform Engineer

Senior Data Platform Engineer

Kambi

Stockholm, Sweden

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.

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