Data Platform Engineer

About the Role

We are seeking a hands-on Data Platform Engineer to support and maintain enterprise data platforms, cloud-native environments, and AI-related data services. The role focuses on production support, data pipeline operations, platform reliability, monitoring, troubleshooting, and continuous improvement of data platforms within a regulated environment.

Key Responsibilities

• Support and maintain enterprise data platforms and cloud-based applications
• Monitor and troubleshoot data pipelines, ETL workflows, and platform services
• Perform incident handling, root cause analysis, and problem resolution
• Support production deployments, release management, system upgrades, and change implementation
• Ensure availability, performance, and stability of data platforms and related infrastructure
• Collaborate with Data Engineers, Data Scientists, AI Engineers, and infrastructure teams
• Maintain operational procedures, technical documentation, and support records
• Identify automation opportunities to improve operational efficiency and platform reliability
• Support data platform lifecycle activities and platform optimisation initiatives

Requirements

• Minimum 2 years of experience in Data Engineering, Data Platform Operations, Platform Support, Cloud Operations, or related areas
• Experience supporting production systems and enterprise platforms
• Strong troubleshooting, analytical, and problem-solving skills
• Good communication and stakeholder management skills