Senior Staff Engineer

Infineon Technologies AG; Singapore; On-site; SGD 70,000 - 90,000; Full time

Job summary

A leading technology company in Singapore is seeking a Data Engineer to lead AI projects and manage scalable data pipelines. The ideal candidate will have 3-5 years of experience in data engineering and strong programming skills in languages like Python and Java. You will design and maintain data architectures, ensuring high-quality data for analytics. A Bachelor's or Master's degree in a related field is required as is a robust understanding of data science and big data technologies. This role offers a dynamic environment and opportunities for growth.

Qualifications

• 3-5 years of experience in data engineering, focusing on scalable data pipelines.
• Strong programming skills in Python, Java, SQL, or R.
• Experience with big data technologies and cloud platforms.
• Knowledge of data science, statistics, and advanced data analytics.

Responsibilities

• Lead and manage AI projects for productivity and efficiency in manufacturing.
• Design, build, and maintain large-scale data pipelines and architectures.
• Collaborate to identify data engineering needs and opportunities.
• Stay updated with trends in data engineering and AI.

Skills

Python

Java

SQL

R

Data engineering

Problem solving

Communication

Education

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

Tools

Hadoop

Cloud-based data platforms

ML Ops

Job description

We are looking for a Data Engineer to manage AI projects & design, build and maintain scalable data pipelines and platforms that support analytics, reporting and data driven decision making. This role works closely with data scientists, analysts and stakeholders to ensure reliable, high quality and accessible data across the organization.

Your 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

• 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.

We base our recruiting decisions on the applicant´s experience and skills. We are committed to give all applicants and employees equal opportunities.