Production Support Engineer (Market Risk & Azure Data Platform) | IrisStar Technologies | Dubai, UAE

IrisStar Technologies; Dubai; On-site; AED 180,000 - 300,000; Full time

Job summary

IrisStar Technologies is seeking an experienced Production Support Engineer to back critical banking applications and Azure-based data platforms in a high-availability production environment. This role suits someone with strong Azure cloud, data engineering, and production support expertise who can proactively manage incidents and ensure smooth operations for market risk systems.

Responsibilities include L2/L3 support, monitoring, incident resolution, and collaboration across development,

Qualifications

• Bachelor’s degree in CS/IT/engineering or related field.
• 5–8 years in production/app/data platform support.
• L2/L3 support experience in enterprise environments.
• Power BI PBIX development and reporting troubleshooting.
• Azure Databricks, Azure Data Factory pipelines, monitoring.
• Banking/Financial Services experience mandatory; market risk knowledge.
• Strong SQL and data analysis skills.
• Excellent troubleshooting and communication; able to work under pressure.

Responsibilities

• Provide L2/L3 production support for banking and market risk apps.
• Monitor environments and proactively identify issues.
• Investigate and resolve incidents in data platforms.
• Support Azure Data Factory and Databricks workloads.
• Troubleshoot Power BI reporting and dashboards.
• Coordinate with dev, QA, infra and business teams.
• Ensure SLAs and change management compliance.
• Create runbooks and incident reports.

Skills

Analytical skills

L2/L3 production support

SQL and data analysis

Troubleshooting

Under pressure performance

Education

Bachelor’s Degree in CS/IT/Engineering

Tools

Power BI

Azure Databricks

Azure Data Factory

SQL

Job description

Production Support Engineer (Market Risk & Azure Data Platform) | IrisStar Technologies | Dubai, UAE

Recruiting Company: IrisStar Technologies

Job Location: Dubai, United Arab Emirates

Job Type: Full-Time

Application Method: Email your updated resume to: [e-mail]

Additional Information

• Urgent Hiring Requirement
• Experience Level: 5-8 Years
• Support Level: L2 & L3 Production Support
• Banking Domain Experience Mandatory
• Market Risk Domain Expertise Required

Position Summary

IrisStar Technologies is seeking an experienced Production Support Engineer to support critical banking applications and data platforms in a high-availability production environment. This role is ideal for professionals with strong Azure cloud, data engineering, and production support expertise who can proactively manage incidents, troubleshoot complex issues, and ensure seamless operations for market risk systems.

Detailed Job Description

As a Production Support Engineer, you will be responsible for maintaining and supporting business-critical data platforms and applications within a banking environment. Working closely with development, infrastructure, and business teams, you will investigate production issues, perform root cause analysis, and ensure timely resolution of incidents. The role requires hands‑on expertise in Azure cloud technologies, including Azure Data Factory, Databricks, and Power BI, along with a strong understanding of banking operations and market risk processes. You will play a key role in monitoring system performance, supporting data pipelines, managing production releases, and ensuring operational stability across enterprise platforms. The ideal candidate will possess strong analytical skills, excellent communication abilities, and a proactive approach to problem‑solving in a fast‑paced financial services environment.

Key Responsibilities

• Provide L2 and L3 production support for critical banking and market risk applications.
• Monitor production environments and proactively identify potential system issues.
• Investigate, troubleshoot, and resolve application, data, and infrastructure incidents.
• Support Azure-based data platforms, including Azure Data Factory and Databricks workloads.
• Analyze and resolve Power BI reporting and dashboard‑related issues.
• Perform root cause analysis and implement preventive actions to improve system stability.
• Coordinate with development, QA, infrastructure, and business teams during incident resolution.
• Ensure compliance with SLAs, operational procedures, and change management processes.
• Support production deployments, release activities, and post‑deployment validation.
• Create and maintain operational documentation, runbooks, and incident reports.

Required Qualifications & Skills

• Bachelor’s Degree in Computer Science, Information Technology, Engineering, or a related field.
• 5-8 years of experience in Production Support, Application Support, or Data Platform Support roles.
• Strong experience providing L2 and L3 support in enterprise production environments.
• Hands‑on expertise with Power BI (PBIX development, report troubleshooting, and support).
• Strong working knowledge of Azure Databricks.
• Experience with Azure Data Factory (ADF) pipelines, monitoring, and troubleshooting.
• Solid understanding of Microsoft Azure cloud services and platform operations.
• Mandatory experience within the Banking or Financial Services industry.
• Strong knowledge of Market Risk systems, processes, and reporting environments.
• Experience with incident management, problem management, and change management practices.
• Strong SQL and data analysis skills.
• Excellent troubleshooting, analytical, and communication skills.
• Ability to work effectively under pressure in a business‑critical production environment.

Nice-to-Have Skills

• Experience with Azure Synapse Analytics or Azure Data Lake.
• Knowledge of DevOps tools and CI/CD deployment processes.
• Familiarity with Python, Spark, or data engineering frameworks.
• Exposure to monitoring and observability platforms.
• Understanding of regulatory and risk reporting frameworks within banking.

Recruitment Pro Tip

For this role, highlight specific examples where you resolved critical production incidents involving Azure Data Factory, Databricks, or Power BI in a banking environment. Quantifying system availability improvements, SLA achievements, and market risk support experience will significantly strengthen your application and increase your chances of being shortlisted.