Data Engineering Lead

Ring Inc; Malaysia; Hybrid; MYR 80,000 - 100,000; Full time

Job summary

A leading technology firm in Malaysia is seeking a Data Engineer to develop their data platform. This role involves building scalable data systems and collaborating closely with AI/ML Engineers. The ideal candidate has at least 5 years of software development experience, including 2 years in Data Engineering. Key requirements include a Bachelor's degree in Computer Science and familiarity with SQL Databases and core technologies like Kafka and AWS. The company offers comprehensive benefits, including flexible work arrangements.

Benefits

Medical, dental, and vision benefits

Flexible PTO policy

401(k) plan

Flexible work-from-home policy

Home office stipend

Employee Assistance Program

Gym/Wifi reimbursement

Education assistance

Parental Leave

Qualifications

• Minimum 5 years of software development experience, including 2 years in Data Engineering.
• Experience with SQL Databases and relational data modeling.
• Familiarity with data at scale.

Responsibilities

• Contribute to the design and development of the Data platform.
• Work closely with AI/ML Engineers to integrate intelligence and automation.
• Design and implement data models, pipelines, and architectures.

Skills

Software development

Data Engineering

SQL Databases

Relational data modeling

Communication

Ownership and accountability

Collaboration with stakeholders

Education

Bachelor's degree in Computer Science

Tools

Kafka

PostgreSQL

AWS

Snowflake

Dbt

Airflow

Job description

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Data Engineer. In this vital role, you will contribute to the development of the data foundations for an industry-leading platform. You will work closely with a dynamic team to build scalable, reliable, and maintainable data systems that drive the company's growth. Your efforts will directly impact the creation of innovative data models and pipelines, establishing a strong architecture to support new product offerings. Collaboration with AI/ML Engineers will enhance the system's intelligence and automation, making your work essential to the team's success.

Accountabilities

• Contribute to the design and development of the Data platform.
• Work closely with AI/ML Engineers to integrate intelligence and automation into systems.
• Design and implement data models, pipelines, and architectures for new products.
• Act as Data Engineering representative in cross-functional teams.
• Build observable systems and lead in operational excellence.

Requirements

• Minimum 5 years of software development experience, with 2 years in Data Engineering.
• Experience with SQL Databases and relational data modeling.
• Familiarity with data at scale.
• Demonstrated sense of ownership and accountability.
• Curiosity and eagerness to learn new technologies.
• Strong communication skills.
• Experience collaborating with both technical and non-technical stakeholders.
• Bachelor's degree in Computer Science, Engineering, or a related field (or equivalent experience).
• Knowledge of core technologies: Kafka (preferred), PostgreSQL, AWS, Snowflake, Dbt (preferred), Airflow.

Benefits

• Medical, dental, and vision benefits.
• Flexible PTO policy.
• 401(k) plan.
• Flexible work-from-home policy.
• Home office stipend.
• Employee Assistance Program.
• Gym/Wifi reimbursement.
• Education assistance.
• Parental Leave.

Why Apply Through Jobgether?

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.