Summary: Expleo is seeking an experienced engineer to design, build, and automate monitoring solutions using Grafana, SQL, ClickHouse, and CI/CD tools. Highlights: 1. Design and build Grafana dashboards with complex SQL queries 2. Automate deployment of dashboards using Docker, Ansible, and CI/CD 3. Implement and maintain Airflow-based scheduling and alerting processes Overview: Expleo is a trusted partner for your innovation journey. As a global engineering, technology and consulting service provider, we are ideally positioned to help you achieve your ambitions and future\-proof your business. With a smart blend of bold thinking and reliable execution, we’re able to fast\-track innovation through each step of your value chain. We are strategically positioned to build value, with a global footprint across 30 countries. We are as global and local as you need us to be, with strong best\-in\-class pan\-European technological centres and unique best\-shoring capabilities. We leverage a network of high value\-adding affiliates in consulting and industrial excellence, and leading partners across multiple sectors to provide you with the most comprehensive services and solutions in an ever\-changing environment. Responsibilities: * Design and build Grafana dashboards using complex, time\-aware SQL queries against ClickHouse. * Optimize SQL queries and support efficient data ingestion patterns for high\-performance analytics. * Automate deployment of dashboards and related components using Docker, Ansible, and CI/CD pipelines. * Develop unit tests (Java and/or Python) to ensure code quality. * Work closely with QA to define KPI tracking, test automation, and reporting workflows. * Implement and maintain Airflow\-based scheduling and alerting processes. Essential skills: * 7\+ years of experience in monitoring/observability solutions. * Strong production experience with Grafana. * Advanced SQL expertise, ideally with ClickHouse or similar OLAP/time\-series databases. * Experience with CI/CD and automation tools (Jenkins, Git, Docker, Ansible). * Solid understanding of Kubernetes/AWS environments. * Experience with Apache Airflow. * Proficiency in Python (preferred). * Experience with model\-driven development/code generation (Java, XSLT, Python).