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Analytics and Data Engineer

Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia Posted

Summary

Written in English from the original posting

The role combines data engineering and analytics responsibilities, including building data pipelines, scalable data models, and ad-hoc analyses. It is based in Kuala Lumpur with a hybrid work arrangement and a stated salary range in Malaysian ringgit.

Job description

*Full Stack Data (Analytics and Engineering)*
Location: KL Bangsar South (Hybrid)
Salary: RM 8,000 - 12,000

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*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.

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*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.

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*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.

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*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.

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*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.

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