Inetum is hiring a Senior Application Production Engineer

We are looking for a Senior Application Production Engineer (BI/Data) to ensure the stability, performance, and continuous improvement of data platforms in production, acting as a technical reference in complex batch and streaming environments. This role has a strong focus on L2/L3 application support, data operations, and close collaboration with Data Engineering, BI, and Development teams. Responsibilities - Act as a technical reference for L2/L3 support of data applications and platforms - Ensure the operation, stability, and performance of data pipelines and ETL processes - Support and operate batch and streaming data architectures - Operate, monitor, and troubleshoot environments based on Apache Kafka - Perform proactive monitoring, incident detection, and root cause analysis - Lead advanced troubleshooting of data, pipeline, and distributed system issues - Collaborate with development teams to resolve production issues and improve system design - Support release, deployment, and change management processes - Propose and implement improvements in observability, resilience, and automation - Maintain clear technical documentation and operational best practices - Provide guidance and technical support to more junior profiles when needed Qualifications - Senior-level experience in Application Production Support / Data Operations (L2/L3) - Strong background in data pipelines, ETL, and data platforms - Hands-on experience with Apache Kafka in production environments - Solid knowledge of batch and streaming architectures - Experience with monitoring, alerting, and logging tools - Proven ability to analyze and resolve complex production incidents - Experience working in critical production environments with strict SLAs - Strong SQL skills and experience with relational and/or analytical databases - Good understanding of distributed systems and service dependencies - Fluent in English - Fluent in French (is valued) Nice to Have - Experience with cloud environments (AWS, Azure, or GCP) - Knowledge of orchestration tools (e.g. Airflow) - Experience with automation, scripting, or Infrastructure as Code - Background in BI, Data Engineering, or Analytics Platforms - Experience in large-scale enterprise environments