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Senior Application Production Engineer

Lisboa, Lisbon, Portugal💼 Full-time🗓 2026-06-11 → 2026-07-27

Required skills

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)

Preferred skills

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

Technologies

Apache Kafka, data pipelines, ETL, batch and streaming architectures, monitoring, alerting, and logging tools, relational and/or analytical databases, cloud environments (AWS, Azure, or GCP), orchestration tools (e.g. Airflow), automation, scripting, or Infrastructure as Code

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

Seniority

Senior

Domain

Data Engineering, BI, Data Operations

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