Data Engineer (R&D Digital Innovation)

Daikin Malaysia; Sungai Buluh; On-site; IDR 757.703.000 - 1.094.461.000; Full time

Job summary

A leading company in the data engineering field is seeking a detail-oriented Data Engineer in Indonesia, Riau, Sungai Buluh. You will be responsible for data integration, workflow optimization, and maintaining ETL pipelines. The ideal candidate has a degree in Computer Engineering or related fields, hands-on experience with data governance, and a strong analytical mindset. This role offers a dynamic work environment where your ideas matter and your growth is part of the mission.

Qualifications

• Bachelor's or Master's degree with CGPA 3.0/ 2nd upper and above.
• Experience with ETL/ELT pipelines.
• Familiarity with data governance and compliance.

Responsibilities

• Connect multiple data sources and structure raw data.
• Design and maintain automated data pipelines.
• Work with internal teams for data solutions.
• Troubleshoot data issues and ensure quality.
• Optimize existing data processes.

Skills

Analytical mindset

Problem-solving with data

Hands-on ETL/ELT experience

Good communication skills

Basic SQL knowledge

Education

Bachelor's or Master's Degree in Computer Engineering, Computer Science, Data Science

Tools

ETL tools

Data visualization tools (e.g., Power BI)

Python

R

Job description

Are you passionate about making data work smarter, not harder? Do you enjoy building data pipelines that hum like a well-oiled machine? If you’re the type who gets excited about transforming chaos into clarity—read on!

We’re looking for a detail-oriented, analytical, and innovative Data Engineer to join our growing team. You’ll play a crucial role in shaping how we collect, structure, and use data to drive smarter decisions across the organization.

🔍 What You’ll Do:

• Data Integration & Transformation – Connect the dots across multiple data sources and make raw data usable, structured, and impactful.
• Pipeline Automation – Design, build, and maintain automated data pipelines that are efficient, reliable, and scalable.
• Stakeholder Collaboration – Work hand-in-hand with internal teams to turn complex data needs into elegant, scalable solutions.
• Data Quality & Troubleshooting – Dive deep into data issues, get to the root cause, and make sure our data stays trustworthy.
• Workflow Optimization – Tune up existing data processes for performance and maintainability.
• Tool Development – Create handy scripts and tools to support analytics, reporting, and automation efforts.
• Standards & Compliance – Ensure our systems meet internal policies and align with ISO 9001, 14001, and 45001 standards.
• Continuous Improvement – Propose and drive enhancements to make our data systems even better.

🎓 What We’re Looking For:

• A Bachelor's or Master's Degree in Computer Engineering, Computer Science, Data Science or any related background from a reputable university with CGPA 3.0/ 2nd upper and above.
• A strong analytical mindset and genuine love for solving problems with data.
• Hands‑on experience building and maintaining ETL (Extract, Transform, Load) / ELT pipelines.
• Familiarity with data governance, security, and compliance standards.
• Great communication and documentation skills—you’re comfortable working independently and cross‑functionally.
• Basic knowledge of SQL, Python, or R.
• Familiarity with data visualization tools (e.g., Power BI).

💡 Why Join Us?

You’ll work in a dynamic environment where your ideas matter, your work has impact, and your growth is part of our mission.

📩 Ready to engineer something amazing with data? Apply now or connect with us directly!