Remote Senior Data Engineer

Jobgether; Malaysia; Hybrid; MYR 100,000 - 130,000; Full time

Job summary

A recruitment partner is seeking a Senior Data Engineer in Malaysia to design, build, and optimize essential data pipelines. This role involves driving scalable data solutions and providing technical leadership. Candidates should have substantial experience with programming, data architecture, and tools such as PySpark and AWS CDK. The company offers flexible remote working arrangements and opportunities for professional development in a collaborative and innovative team environment.

Benefits

Flexible remote working arrangements

Opportunity to work on meaningful projects

Collaborative team environment

Professional development opportunities

Access to latest tools and technologies

Qualifications

• 5+ years of programming experience with Java or Python.
• 5+ years of experience with PySpark specifically.
• Experience leading design or architecture of systems.
• Experience in full software development life cycle.

Responsibilities

• Design, build, and optimize data pipelines and workflows.
• Drive scalable data solutions to support business decisions.
• Contribute to architectural decisions and provide technical leadership.
• Mentor junior team members and promote best practices.

Skills

Programming experience (Java, Python)

Experience with PySpark

Team leadership

Full software development life cycle experience

Building large-scale data ingestion

Low latency distributed systems

CI/CD

Tools

AWS CDK

Job description

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Senior Data Engineer. In this role, you will design, build, and optimize data pipelines that are crucial to supporting key business decisions. You will be responsible for driving scalable data solutions, contributing to architectural decisions, and providing technical leadership across various projects. A strong emphasis will be placed on data quality and reliability in collaboration with cross‑functional teams, while your passion for mentoring and promoting best practices in data engineering will be highly valued.

Accountabilities

• Design, build, and optimize data pipelines and workflows
• Drive scalable data solutions to support business decisions
• Contribute to architectural decisions and provide technical leadership
• Collaborate with cross‑functional teams to ensure data quality and reliability
• Mentor junior team members and promote best practices in data engineering

Requirements

• 5+ years of programming experience with one or more software programming languages (e.g., Java, Python)
• 5+ years of experience with PySpark
• 5+ years in leading design or architecture of systems
• 5+ years in full software development life cycle experience
• 3+ years of experience leading team and cross‑team architecture and design
• Experience in building large‑scale data ingestion and processing
• Experience with low latency distributed systems coding and troubleshooting
• Experience with CI/CD and Infrastructure‑as‑Code such as AWS CDK

Benefits

• Flexible remote working arrangements
• Opportunity to work on meaningful projects
• Collaborative and innovative team environment
• Professional development and mentoring opportunities
• Access to the latest tools and technologies

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.

#LI-CL1