Senior AI & Data Engineering Lead — Cloud Data Platforms

EY; Kuala Lumpur; On-site; MYR 250,000 - 420,000; Full time

Benefits offered by this job

Continuous learning

Flexible working arrangements

Transformative leadership

Diverse and inclusive culture

Job summary

EY's AI & Data team in Kuala Lumpur is seeking an experienced Manager (Data Engineering) to lead the design and delivery of enterprise data platforms, cloud-based data solutions, and large-scale data transformation initiatives for clients across industries.

You will work with business stakeholders, data architects, data scientists, and technology teams to implement robust data solutions enabling advanced analytics, AI, and BI capabilities.

Qualifications

• Bachelor's or Master's degree in Computer Science, Information Technology, Data Engineering, Engineering, Mathematics, or a related field.
• Minimum 6+ years of experience in Data Engineering, Data Architecture, Data Platform Development, or related disciplines.
• Experience leading technical teams and managing client-facing projects.
• Strong understanding of data modeling, data integration, and data architecture principles.

Responsibilities

• Lead the delivery of end-to-end data engineering engagements, including data architecture, data integration, platform modernization, and cloud migration initiatives.
• Design, develop, and implement scalable data pipelines, data lakes, data warehouses, and lakehouse architectures.
• Collaborate with business stakeholders to understand data requirements and translate them into technical solutions.
• Lead cloud-based data transformation programs leveraging Azure, AWS, or Google Cloud technologies.
• Establish and enforce best practices in data governance, data quality, metadata management, security, and compliance.
• Design and optimize ETL/ELT frameworks for ingesting, transforming, and processing large volumes of structured and unstructured data.
• Support the development of AI, machine learning, and analytics solutions by providing reliable and scalable data foundations.
• Lead technical teams of data engineers across multiple client engagements and provide coaching and mentorship.
• Conduct architecture reviews, solution assessments, and performance optimization initiatives.
• Support business development activities, solutioning workshops, proposal responses, and client pursuits.

Skills

Data architecture

Data pipelines

Cloud platforms

Stakeholder management

Team leadership

Education

Bachelor's or Master's degree in Computer Science, Information Technology, Data Engineering, Engineering, Mathematics, or a related field

Tools

Azure

AWS

Google Cloud

Job description

EY's AI & Data team in Kuala Lumpur is seeking an experienced Manager (Data Engineering) to lead the design and delivery of enterprise data platforms, cloud-based data solutions, and large-scale data transformation initiatives for clients across industries.

You will work with business stakeholders, data architects, data scientists, and technology teams to implement robust data solutions enabling advanced analytics, AI, and BI capabilities.