Data Engineer
Posted 22 Sep 2026
BranchFactor Summary
The original posting with the fluff stripped out
- Expected experience
- 3+ yrs
- Management level
- People management
- Employment
- On-Site
- Contract
- Full-time
No salary listed for this role.
Field of studyComputer Science, Data Engineering, Engineering, Information Systems, Information Technology (or related)
Study levelBachelor's
Join New Era Technology, where People First is at the heart of everything we do. With a global team of over 3,000 professionals, we're committed to creating a workplace where everyone feels valued, empowered, and inspired to grow. Our mission is to securely connect people, places, and information with end-to-end technology solutions at scale.
At New Era, you'll join a team-oriented culture that prioritizes your personal and professional development. Work alongside industry-certified experts, access continuous training, and enjoy competitive benefits. Guided by our core attributes — putting people first, embracing continuous learning, and thriving through collaboration and inclusion — we nurture our people to deliver exceptional customer service.
If you want to make an impact in a supportive, growth-oriented environment, New Era is the place for you. Apply today and help us shape the future of work—together
🌟 Hiring: Senior Data Engineer (Client Location) | New Era Technology 🌟
Client Location: Kuala Lumpur, Malaysia
Company: New Era Technology – www.neweratech.com**
Work Type: Full-Time(Onsite)**
Employment: Permanent
🚀 About the Role:
New Era Technology is looking for experienced Senior Data Engineer to be deployed at our prestigious client in Malaysia at their Kuala Lumpur Office.
Job Summary
We are seeking a highly skilled and experienced Senior Data Engineer to join our Data & Analytics team within the Insurance domain. The successful candidate will be responsible for designing, developing, and maintaining scalable, secure, and high-performing data platforms that support enterprise reporting, analytics, regulatory requirements, and business decision-making.
This role requires strong expertise in AWS cloud technologies, data lake and data warehouse architectures, ETL/ELT development, Infrastructure as Code (IaC), data governance, disaster recovery, and modern AI-enabled software development practices. The ideal candidate will be passionate about delivering reliable data solutions, automating processes, enforcing data quality standards, and driving innovation through emerging technologies.
Key Responsibilities
Data Engineering & Data Platform Development
- Design, develop, and maintain scalable, reliable, and secure data pipelines to support enterprise analytics and reporting initiatives.