Data Engineer - AI, Azure We're looking for a Data Engineer with solid experience working in Azure environments,... Read more
Data Engineer - AI, Azure
We're looking for a Data Engineer with solid experience working in Azure environments, and a strong focus on enabling AI and machine learning through accessible, well-structured enterprise data.
You'll help design and maintain the data infrastructure that powers AI across the organisation, ensuring data is available, clean, secure, and aligned with enterprise standards.
Key skills
Design, build and maintain data pipelines on Azure to support AI/ML workloadsPrepare and transform enterprise data to meet the needs of AI models and analyticsIntegrate data from various sources (e.g., ERP, CRM, internal systems) using Azure toolsWork closely with data scientists and ML engineers to support feature engineering and model deploymentImplement and manage data storage and processing using services such as Azure Data Factory, Azure Synapse, Azure Data Lake, and Azure DatabricksProven track record of enabling AI/ML projects through well-structured data pipelinesOptimise data pipelines for performance, scalability, and cost-efficiencyFamiliarity with designing data infrastructure that supports AI scalabilityPlease send across an updated CV if this position is of interest
GCS is acting as an Employment Business in relation to this vacancy.
Read lessData Engineer - AI, Azure We're looking for a Data Engineer with solid experience working in Azure environments,... Read more
Data Engineer - AI, Azure
We're looking for a Data Engineer with solid experience working in Azure environments, and a strong focus on enabling AI and machine learning through accessible, well-structured enterprise data.
You'll help design and maintain the data infrastructure that powers AI across the organisation, ensuring data is available, clean, secure, and aligned with enterprise standards.
Key skills
Design, build and maintain data pipelines on Azure to support AI/ML workloadsPrepare and transform enterprise data to meet the needs of AI models and analyticsIntegrate data from various sources (e.g., ERP, CRM, internal systems) using Azure toolsWork closely with data scientists and ML engineers to support feature engineering and model deploymentImplement and manage data storage and processing using services such as Azure Data Factory, Azure Synapse, Azure Data Lake, and Azure DatabricksProven track record of enabling AI/ML projects through well-structured data pipelinesOptimise data pipelines for performance, scalability, and cost-efficiencyFamiliarity with designing data infrastructure that supports AI scalabilityPlease send across an updated CV if this position is of interest
GCS is acting as an Employment Business in relation to this vacancy.
Read lessfor the following search criteria