Senior Staff Engineer

Infineon Technologies; Singapore; On-site; SGD 60,000 - 80,000; Full time

Job summary

A leading technology company in Singapore is looking for a Data Engineer to lead and manage AI projects. The role involves designing and maintaining data pipelines and supporting AI workloads. Candidates should have 3-5 years of experience in data engineering, strong programming skills in languages like Python, and familiarity with big data technologies. The position emphasizes collaboration with stakeholders and requires effective communication skills. This role is critical for enhancing productivity through advanced data solutions.

Qualifications

• 3 - 5 years of experience in data engineering with scalable data pipelines.
• Strong programming skills in Python, Java, SQL, or R.
• Experience with big data technologies and cloud-based platforms.

Responsibilities

• Lead and manage AI projects from ideation to implementation.
• Design and maintain large-scale data pipelines for AI workloads.
• Collaborate with stakeholders to prioritize data engineering needs.

Skills

Data pipeline development

AI and machine learning implementation

Programming in Python

Big data technologies

Analytical problem-solving

Education

Bachelor's or Master's in Engineering, Computer Science, or Data Science

Tools

Hadoop

Cloud-based platforms

MCP

Job description

Your Role

Key responsibilities in your new role

• 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.

Your Profile

Qualifications and skills to help you succeed

• 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.