Data platform engineer - Financial Services

- 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. Contact Quote job ref: JN-092026-7095958

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