Enable job alerts via email!

Head of Software and Data

EVOLUTION RECRUITMENT SOLUTIONS PTE. LTD.

Singapore

On-site

SGD 120,000 - 200,000

Full time

7 days ago
Be an early applicant

Generate a tailored resume in minutes

Land an interview and earn more. Learn more

Start fresh or import an existing resume

Job summary

A leading recruitment firm in Singapore seeks a Head of Software & Data Engineering to lead a cross-functional team for innovative manufacturing systems. This pivotal role involves architecting IoT platforms, managing technical teams, and ensuring compliance and data governance. A competitive salary is offered, reflecting the extensive experience and leadership required for this position.

Qualifications

  • Minimum 13 years of experience in IT/OT systems and data architecture.
  • Proven management of 20+ team members in technical roles.
  • Hands-on experience with Big Data technologies and analytics tools.

Responsibilities

  • Lead a cross-functional team to drive digital transformation initiatives.
  • Architect scalable IoT platforms integrated with cloud infrastructure.
  • Establish data governance policies and oversee project delivery.

Skills

Python
SQL
Java
C++
Project Management
Problem-Solving

Education

Bachelor's degree in Computer Science, Software Engineering, Information Technology

Tools

Docker
Kubernetes
AWS
Azure
GCP
GitLab
Java Spring Boot
Vue.js
React.js

Job description

Head of Software & Data Engineering

Manufacturing industry

Lead and mentor a cross-functional team of 20+ engineers spanning software development, database administration, and IoT engineering to drive intelligent manufacturing systems and digital transformation initiatives for our cutting-edge, software-defined factory.

Key Responsibilities

  • Architect and deploy scalable IoT platforms (Thingworx, Kepware) integrated with public/private cloud infrastructure (AWS, Azure, GCP)
  • Design and implement comprehensive data pipelines, data lakes, and warehouses to unify data assets for advanced analytics
  • Drive the implementation of AI/MLOps and simulation technologies (PlantSim, Nvidia Omniverse) to create intelligent manufacturing systems
  • Evaluate and define requirements for deploying IoT, AI, and simulation technologies at enterprise scale
  • Lead technical strategy development while providing hands-on guidance and troubleshooting for complex data connectivity and database challenges
  • Foster collaboration between digital transformation teams and IoT/data engineers, aligning technical efforts with business objectives
  • Establish robust data governance policies ensuring regulatory compliance (e.g., GDPR) and maintain data quality control measures
  • Oversee software projects from planning to deployment, ensuring timely delivery and adherence to quality standards
  • Implement Agile/Scrum methodologies and drive continuous process improvements across teams

Requirements

  • Bachelor's degree in Computer Science, Software Engineering, Information Technology, or related disciplines
  • Minimum 13 years of experience in IT/OT systems, data architecture, software development, and system development
  • Proven technical team management experience managing 20+ team members with ability to motivate collaborative work environments
  • Strong proficiency in programming languages including Python, SQL, Java, and C++
  • Deep expertise in building data pipelines (OLTP to OLAP), open-source and relational databases, and advanced data modeling techniques
  • Hands-on experience with Big Data technologies, cloud computing platforms, and data analytics tools
  • Technical proficiency with Docker, Kubernetes, CI/CD pipelines, and cloud services (AWS, Azure, GCP)
  • Experience with GitLab, C#, Java, Spring Boot, Vue.js, and React.js
  • Strong project management and time management capabilities
  • Excellent problem-solving skills for identifying root causes of complex technical issues
  • Outstanding communication skills for effective stakeholder collaboration

Manufacturing background only.

Get your free, confidential resume review.
or drag and drop a PDF, DOC, DOCX, ODT, or PAGES file up to 5MB.