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dataroles

Data Engineer

Fuku Open · verified Oct 24, 2026
On-site Kuala Lumpur Full-time Mid-level Data Engineering

At a glance

Mid-level Data Engineering role at Fuku. Kuala Lumpur · full-time.

Pay not stated Data Engineer salary

RoleData Engineering
SeniorityMid-level
LocationKuala Lumpur
WorkplaceOn-site
EmploymentFull-time
PostedFeb 10, 2026 · 8mo ago
Role brief

dataroles summary, based on the employer's posting.

What you'll do

  • Create and look after the data lake, building the pipelines that bring information into it
  • Rework the data warehouse and improve how it performs
  • Shape data flows, databases and AWS cloud resources for BI and data science decision tools
  • Build trial models and prototypes, then confirm they work with stakeholders

What you bring

  • At least two years of Python and SQL experience
  • You have built data pipelines using AWS
  • You know BI platforms, including Power BI, Metabase or another listed tool

Who this fits

This role suits a mid-level data engineer based in Klang Valley who can attend a weekly team meeting. Applicants need existing permission to work in Malaysia; visa sponsorship and relocation support are unavailable.

From the employer

Data Engineer (Remote)

Location & Work Arrangement
- Remote / Work from home position
- Must be based in Klang Valley to attend one team meeting per week

Why You Should Apply
- Join a data-first, AI-enabled, fast-growing Malaysian tech company with recent funding
- Access to all the tools, support, and training needed to succeed
- Be part of a strong data team including senior data engineers, business intelligence professionals, and data scientists to learn from
- Work for an award-winning company recognized as one of the “Best Places to Work,” with low staff turnover and high chances of internal promotions
- Excellent opportunity to learn, grow, and progress your career in a positive company culture

Key Responsibilities
- Build and maintain a data lake solution, including developing pipelines into the lake
- Revamp and optimize the data warehouse
- Design data pipelines and optimize databases and AWS Cloud infrastructure to support BI and data science teams in building crucial decision support tools
- Build prototypes and models, and validate solutions with stakeholders

Requirements
- Minimum 2 years of experience in Python and SQL
- Experience building data pipelines within an AWS environment
- Familiarity with BI tools such as Power BI, Metabase, and Google Analytics

About the Company & Team
- Malaysian tech-first product company established for 10 years and experiencing rapid growth
- Led by a leadership team, including a CEO with IPO experience
- Provides a suite of Health-Tech products to enterprise customers across Southeast Asia
- Operates on a SaaS business model with strong customer retention, growth, and recent new funding

How to Apply
- Click the “apply” button to submit your application
- You may submit an updated CV or simply share your LinkedIn profile—just send what you have
- The recruiter is happy to provide more information before you proceed
- Every applicant or enquiry will receive a reply

Additional Notes
- The company cannot provide employment passes, work visas, or relocation assistance
- Only applicants with work rights in Malaysia will be considered

Opportunity

Data Engineering work from LinkedIn, X, Reddit and Upwork, in one list.

Each morning you get everything that fits, strongest first.

Data Engineering

Find me work

By the team behind dataroles.

Find me work
Opportunity

Data Engineering work from LinkedIn, X, Reddit and Upwork, in one list.

Each morning you get everything that fits, strongest first.

Find me work

By the team behind dataroles.