# Analytics & Data Engineer

**Company:** [Fuku](http://jobs.workable.com/companies/cVzy4Zi49yLx9EZznjyX2v.md)
**Location:** Kuala Lumpur, Malaysia
**Workplace:** on site
**Employment type:** Full-time

[Apply for this job](http://jobs.workable.com/view/12e19821-9c91-45b4-a333-c9de83f11cc0)

## Description

\*Full Stack Data (Analytics and Engineering)\*  
Location: KL Bangsar South (Hybrid)  
Salary: RM 8,000 - 12,000  
  
\---  
  
\*Why You Should Apply\*  
\- Discover hidden value in unstructured data to drive significant business impact.  
\- Engage in continuous tracking, measurement, and iteration—not just simple data input/output.  
\- Provide actionable insights to corporate and enterprise clients, going beyond standard reporting.  
\- Future-proof your career by developing expertise as a full stack data engineer and data analyst, understanding the complete data lifecycle.  
  
\---  
  
\*What You Will Do\*  
\- Combine data engineering and analytics responsibilities.  
\- Design, develop, and implement data pipelines to ingest and transform large volumes of data.  
\- Build scalable data models that support the core platform.  
\- Identify and analyze trends, and perform ad-hoc analyses to generate insights that assist clients in decision-making.  
  
\---  
  
\*What You Will Need\*  
\- Proficiency in SQL and Python for data transformation, cleaning, and preparation.  
\- Strong analytical mindset with enthusiasm for working with numbers and converting data into actionable insights.  
\- Ability to define and solve ambiguous, open-ended business problems using exploratory and analytical approaches.  
  
\---  
  
\*About the Company & Team\*  
\- Specializes in niche, data-driven business insights tools for cargo, logistics, aviation, and shipping industries.  
\- Supports clients in making informed commercial decisions related to routes, maintenance, demand planning, operations, and forecasting.  
\- Collaborate with global customers, with a head office in Europe and an engineering hub in Malaysia.  
  
\---  
  
\*How to Apply\*  
\- Click the “apply” button. You may submit your CV or share your LinkedIn profile—whichever you prefer.  
\- The recruiter (Graham) is available to provide more information before you apply.  
\- Every applicant or enquiry will receive a reply.