JR-172831 Data Platform Support Engineer Senior

Job (Project)  Description : We are looking for a skilled Data Platform Support Engineer Senior to join our team and help maintain and improve our enterprise Data & Analytics platform. Location: Europe Responsibilities: Support and maintain the end-to-end Data & Analytics platform, ensuring stability, performance, and reliability across ingestion, processing, storage, semantic models, and BI reporting Handle L2/L3 incident management, troubleshooting, root cause analysis, and SLA compliance Support Azure Synapse pipelines, data processing workloads, SQL/Spark transformations, and data models Maintain and troubleshoot Power BI datasets, reports, refreshes, and capacities Monitor platform health, implement alerting, dashboards, and operational improvements Contribute to CI/CD, Git workflows, deployments, and DevOps best practices Support data governance, data quality, security, and access management Collaborate with Product Owners, Service Managers, and Business stakeholders Create documentation and improve operational processes Requirements: 6+ years of experience in data engineering, analytics platform support, or data platform operations Strong experience supporting production data platforms in enterprise or managed services environments Hands-on experience with: Azure Synapse Analytics Synapse Pipelines Data Lake / Warehouse architectures SQL and Spark-based transformations Power BI datasets, semantic models, and refresh processes Experience with incident management, troubleshooting, monitoring, and performance tuning Knowledge of CI/CD, Git, automated deployments, and multi-environment support Understanding of data security and access management (RBAC) Strong communication skills and ability to work with technical and business stakeholders Upper-Intermediate+ English Nice to have Experience with managed analytics services or Excellence Centers Knowledge of SLA/KPI management and service improvement Experience with data governance, lineage, and monitoring frameworks Familiarity with Azure FinOps and Power BI capacity optimization What We Offer: Competitive salary; 100% remote opportunity; Flexible work environment (in-office, remote, or hybrid depending on preferences and manager approval); Opportunities for professional growth and career advancement; Collaborative and innovative work environment; Paid time off, including holidays, vacation and sick leave; Benefits may vary by location and will be confirmed during the interview process. Job ID : JR-172831