Software Engineer – Business Intelligence Team Main Responsibilities: Develop and maintain production services that integrate with the company’s tech stack to support Data Science and Business Intelligence. Enhance and modernize the DS stack while addressing technical debt. Collaborate with data scientists and engineers to design tools, define best practices, and operationalize outputs. Contribute to business projects, particularly on tool and data model design. Build and maintain CI/CD pipelines for efficient testing and deployment. Support project scoping, service design, and integration planning alongside the team lead. Desired experience: Solid understanding of the software development lifecycle. Proficiency in Python and applying software engineering best practices. Hands-on experience with tools such as Terraform, Git, GitLab CI/CD, GCP (GKE, Firestore, BigQuery), Kafka, MongoDB, and Airflow. Proactive, detail-oriented, and self-driven with strong problem-solving skills. Degree in a quantitative or scientific discipline. Advantageous: knowledge of cloud architecture, deployment, and security; experience with Docker and Kubernetes; SQL and pipeline development (BigQuery or similar); familiarity with gaming or sports betting data.