About the role

AI summarised

The Senior Staff / Staff Engineer Data Engineer will lead AI-driven data initiatives to enhance manufacturing productivity and efficiency. This role involves designing, building, and maintaining scalable data pipelines, architectures, warehouses, and lakes to support machine learning workloads, while collaborating with cross-functional teams to prioritize data needs and establish best practices in data engineering.

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Key Responsibilities

Lead and manage AI projects from ideation to implementation that contribute to productivity and efficiency gain in manufacturing
Design, build, and maintain large-scale data pipelines and architectures to support AI and machine learning workloads
Develop and implement data engineering solutions to support AI and machine learning model development, deployment, and monitoring
Collaborate with data scientists, domain experts, and stakeholders to identify and prioritize data engineering needs and opportunities
Design, build, and maintain data warehouses, data lakes, and other data storage solutions to support AI workloads, with a focus on data quality and governance
Stay up-to-date with emerging trends and technologies in data engineering and AI, and lead the development of best practices, standards, and processes to continuously improve data engineering capabilities

Requirements

Min. 3 - 5 years of experience in data engineering, with a focus on building scalable and efficient data pipelines and architectures
Bachelor's or Master's degree in Engineering, Computer Science, Data Science, or a related field
Strong programming skills in languages such as Python, Java, SQL, or R
Experience with big data technologies, data lakes, cloud-based data platforms, Hadoop, MCP, and ML Ops
Engineering know-how and expertise in domains such as product or equipment are advantage
Knowledge of data science, statistics, and advanced data analytic techniques
Strong analytical and problem-solving skills, with experience in design thinking being an advantage
Effective interpersonal and communication skills to manage internal and external stakeholders