• Support critical data platform transformation projects
• Exposure to Spark, Airflow, Kubernetes and Docker

About Our Client

Our client is a well-established organisation undergoing data platform transformation initiatives.

Job Description

• Support and maintain enterprise Data Lake and Data Pipeline platforms
• Monitor, troubleshoot, and optimise data processing workflows
• Ensure platform stability, availability, and operational performance
• Collaborate with data engineers and infrastructure teams on daily support activities
• Assist in cloud-to-on-premises platform migration and transformation projects
• Support deployment, configuration, and maintenance of data platform environments
• Participate in incident resolution and root cause analysis
• Contribute to platform enhancements and operational improvements
• Work with containerisation and orchestration technologies in distributed environments

The Successful Applicant

• 2-4 years of experience in Data Engineering, Platform Support, or Data Platform Operations
• Hands-on experience supporting Data Lakes and Data Pipelines
• Strong knowledge of Apache Spark and Apache Airflow
• Experience troubleshooting data processing and workflow issues
• Familiarity with cloud-based infrastructure and data platforms
• Understanding of production support and system monitoring practices
• Knowledge of Kubernetes (K8s) and Docker is highly preferred
• Exposure to cloud-to-on-premises migration or transformation projects is advantageous
• Strong analytical and problem-solving skills
• Ability to work effectively with cross-functional technical teams

What's on Offer

• Competitive salary package with stable career progression
• Opportunity to work on large-scale data platform transformation projects
• Exposure to modern data engineering and container technologies

If you're ready to bring your expertise to this Data Platform Engineer role in Central District, we encourage you to apply.