Role Overview

We’re looking for a Cloud Data Platform Support Engineer to help keep our cloud-based data ecosystem stable, reliable, and performing at its best. This role is perfect for someone who enjoys solving complex technical problems, thrives in fast-moving environments, and wants to play a key role in supporting business-critical platforms.

You’ll focus on incident response, platform reliability, and hands-on technical support, while also contributing to proactive improvements such as automation, monitoring, and performance optimisation.

You’ll work closely with Full Stack Support Engineers in squad-based teams, while reporting into the Data Engineering function—acting as a bridge between application and data workloads.

Key Responsibilities

• Provide technical support for cloud-based data platforms, primarily hosted in Microsoft Azure.
• Investigate and resolve production incidents related to performance, stability, and data reliability.
• Conduct root cause analysis and document fixes for long-term prevention.
• Collaborate with Data Engineers, Full Stack Support Engineers, Data Scientists, and client-facing technical teams.
• Monitor platform health and data pipelines using cloud-native observability tools.
• Build and maintain automation using Python, PowerShell, Bash, or similar languages.
• Develop dashboards, alerts, and reporting frameworks for real-time visibility.
• Recommend and implement platform improvements once approved.
• Participate in post-incident reviews and continuous improvement initiatives.
• Create and maintain runbooks, playbooks, and troubleshooting documentation.
• Be available occasionally for extended hours during major outages or critical incidents.
• Stay up to date with modern cloud technologies including Azure, Kubernetes, Databricks, Microsoft Fabric, and distributed data frameworks.

Required Qualifications

• Bachelor’s degree in Computer Science, Information Systems, Engineering, or a related field.

Required Experience

• Minimum 3 years’ experience in support engineering, cloud operations, or data engineering in a cloud environment (Azure preferred).
• Hands-on experience with cloud-based data platforms such as data warehouses, orchestration tools, and distributed compute engines.
• Strong troubleshooting ability across SQL, T-SQL, Python, and Spark workloads.
• Solid understanding of incident management processes and best practices.
• Experience using cloud-native monitoring and observability tools.
• Proven ability to support business-critical systems with high reliability and data quality.
• Excellent communication skills, able to translate technical concepts for non-technical audiences.

Nice-to-Have Skills

• Cloud certifications (Azure preferred).
• Experience with Kubernetes, Docker, or containerised environments.
• Exposure to Databricks, Spark, Azure Synapse, or Microsoft Fabric.
• Experience with AWS or GCP.
• Knowledge of CI/CD pipelines, infrastructure-as-code, and automated deployments.

Why You’ll Love Working Here

We believe in creating an environment where people can grow, feel supported, and do their best work.

• Flexible Work: Remote and hybrid options to suit your lifestyle.
• People-First Culture: Supportive, inclusive, and transparent—no corporate red tape.
• Learning & Growth: Ongoing upskilling and development opportunities.
• Wellness & Benefits: Wellness initiatives, home office support, and more.
• Recognition: Performance incentives, equity options, and meaningful appreciation.
• Fun Team Culture: Team socials, activities, and a genuinely collaborative vibe.