Senior Data Engineer | AI
Posted
Summary
Senior data engineer (hired via Randstad for a large enterprise client) who designs and runs scalable cloud data ingestion and transformation pipelines supporting analytics and machine learning, and builds backend data architecture for AI-driven applications while handling platform reliability, CI/CD, and data governance.
Join a team with a mission and a plan to make changes!
about the company Our client is a prominent, large-scale enterprise undergoing a major digital transformation. They are actively expanding their technology infrastructure to support advanced analytics, machine learning, and business-wide innovation. about the role Design and operate highly scalable data ingestion and transformation pipelines within a modern cloud ecosystem. Process and integrate diverse datasets to support reporting, analytics, and complex machine learning models. Develop and manage the backend data architecture required for advanced information retrieval and AI-driven business applications. Oversee platform reliability, including performance monitoring, deployment automation, and incident resolution. Ensure all solutions adhere to strict enterprise data governance, security, and compliance standards. skills and experience Degree in Computer Science, Engineering, or a relevant technical discipline. Minimum 5 years of experience, at least 8 years of hands-on experience in data engineering, platform operations, or cloud-scale analytics. High proficiency in Python and SQL for complex data manipulation. Strong working knowledge of distributed data processing frameworks and large-scale data concepts. Practical experience supporting data structures for modern AI frameworks or advanced search solutions. Thorough understanding of CI/CD workflows, enterprise cloud security, and release management. To apply online please use the 'apply' function, alternatively you may contact Evangeline. (EA: 94C3609/ R24124002 )
about the company Our client is a prominent, large-scale enterprise undergoing a major digital transformation. They are actively expanding their technology infrastructure to support advanced analytics, machine learning, and business-wide innovation. about the role Design and operate highly scalable data ingestion and transformation pipelines within a modern cloud ecosystem. Process and integrate diverse datasets to support reporting, analytics, and complex machine learning models. Develop and manage the backend data architecture required for advanced information retrieval and AI-driven business applications. Oversee platform reliability, including performance monitoring, deployment automation, and incident resolution. Ensure all solutions adhere to strict enterprise data governance, security, and compliance standards. skills and experience Degree in Computer Science, Engineering, or a relevant technical discipline. Minimum 5 years of experience, at least 8 years of hands-on experience in data engineering, platform operations, or cloud-scale analytics. High proficiency in Python and SQL for complex data manipulation. Strong working knowledge of distributed data processing frameworks and large-scale data concepts. Practical experience supporting data structures for modern AI frameworks or advanced search solutions. Thorough understanding of CI/CD workflows, enterprise cloud security, and release management. To apply online please use the 'apply' function, alternatively you may contact Evangeline. (EA: 94C3609/ R24124002 )