Head of Software & Data Engineering | Automotive Industry

MANPOWER STAFFING SERVICES (SINGAPORE) PTE LTD; Singapore; On-site; SGD 120,000 - 180,000; Full time

Job summary

A leading company in Singapore is looking for a Technical Leader to drive innovation in smart factory technologies. This role encompasses overseeing the deployment of IoT and cloud technologies, managing cross-functional teams, and ensuring data architecture aligns with business goals. The ideal candidate will have extensive experience in IT/OT systems and demonstrate robust leadership skills.

Qualifications

• At least 13 years of experience in IT/OT systems.
• Deep understanding of database management systems.
• Familiarity with SCADA and standard communication protocols.

Responsibilities

• Lead a team of engineers in deploying intelligent systems across various platforms.
• Architect solutions integrating IoT platforms with cloud infrastructure.
• Implement data governance policies ensuring compliance with regulations.

Skills

Programming

Data Architecture

Cloud Computing

Data Analytics

Project Management

Communication

Technical Leadership

Education

Bachelor's Degree in Computer Science

Tools

Docker

CI/CD Pipeline

SCADA

Job description

Your Mission
This position will be responsible for leading a team of engineers in developing and deploying intelligent systems and environments (IoT, MLOps, Visualization, and Simulations) that drive productivity, quality, logistics, and manufacturing advancements within the cutting-edge, software-defined factory. This leader will be a key contributor to the Technology Innovation Group, ensuring the team's work aligns with company’s vision.

What To Expect
At-Scale Deployment of Digital Systems

• Evaluate and define requirements for deploying IoT, AI and simulation technologies at scale.
• Leverage cloud platforms (AWS, Azure, GCP) and on-premise solutions for secure and scalable deployments.

Solution Design and Architecture

• Architect solutions integrating IoT platforms (e.g., Thingworx, Kepware) with public/private cloud infrastructure.
• Incorporate AI, MLOps, LLMOps, and simulation tools like Nvidia Omniverse to create intelligent systems.

Enterprise Data Architecture

• Provide abstract representations of organizational data needs and design comprehensive data management strategies.
• Develop architectures for data lakes, warehouses, and marts to unify data assets for analytics.

Data Governance and Security

• Implement governance policies ensuring compliance with regulations (e.g., GDPR).
• Establish robust data quality control measures to maintain accuracy and accessibility.

Technical Leadership

• Lead cross-functional teams of developers, database administrators, and engineers.
• Act as a liaison between digital transformation teams and IoT/data engineers to align technical efforts with business goals.

Project Management

• Assess existing systems for weaknesses and identify skill sets, manpower, and timelines necessary for successful implementation.
• Oversee development while ensuring ongoing system maintenance

What You'll Bring

• Bachelor's Degree in Computer Science, Information Technology or relevant disciplines
• At least 13 years of experience in IT/OT Systems, data architecture and technologies
• Proficiency in programming such as Python, SQL, Java, and C++
• Deep understanding of database management systems and data modeling techniques
• Experience with Big Data technologies, cloud computing platforms, and data analytics tools
• project management and time management abilities
• Excellent communication skills to collaborate with various stakeholders
• Develop data pipeline processes to move data from OLTP to OLAP systems
• Familiarity with SCADA and proficiency in standard communication protocols
• Technical skills in Docker, CI/CD Pipeline, C#, Java, Spring Boot, Vue.js, React.js