Senior Data Analytics Engineer / Lead

Fuku; Kuala Lumpur; Hybrid; MYR 89,000 - 156,000; Full time

Job summary

Fuku in Malaysia (KL Bangsar South) is seeking a Senior Data Analytics Engineer / Lead to drive both data engineering and analytics in a hybrid setup. You will design pipelines, transform large datasets, and build scalable models powering the core platform for enterprise clients.

The role demands 4–8+ years of experience, strong SQL/Python skills, and a background in Mathematics/Statistics or Data Science. Hybrid collaboration with a European tech product team is offered.

Qualifications

• Educational background in Mathematics and Statistics, Analytics, Actuarial Science, or Data Science.
• Strong analytical mindset with ability to transform data into insights.
• Proficiency in SQL and Python for data transformation and preparation.

Responsibilities

• Split your role between 50% data engineering and 50% analytics.
• Identify trends and conduct ad-hoc analyses to support client decisions.
• Collaborate with project managers and engineers to understand client needs and deliver tailored solutions.
• Design, develop, and implement data pipelines and scalable data models for the core platform.
• Perform data integration and ETL to streamline analysis workflows.

Skills

SQL

Python

Education

Mathematics & Statistics

Data Science

Job description

Senior Data Analytics Engineer / Lead

Location & Compensation

• - KL Bangsar South (Hybrid)
• - RM 8,000-14,000 Basic + Benefits

Why You Should Apply

• - Join a data-first business intelligence platform and tech product company from Europe.
• - Discover hidden value in unstructured data that drives significant business impact.
• - Engage in a process of tracking, measuring, and iterating—not just handling data in and out.
• - Provide actionable insights to corporate and enterprise clients, going beyond standard reporting.
• - Future-proof your career by developing as a full stack data engineer and analytics professional, gaining a comprehensive understanding of the data lifecycle.

Key Responsibilities

• - Split your role between 50% data engineering and 50% analytics.
• - Identify and analyze trends, and conduct ad-hoc analyses to generate insights that support client decision-making.
• - Collaborate with project managers and engineers to understand client needs, connect data sources, and deliver tailored solutions.
• - Design, develop, and implement data pipelines to ingest and transform large volumes of data, and build scalable data models that power the core platform.
• - Perform data integration and preparation, including ETL processes and data structure optimization, to streamline analysis workflows.

Requirements

• - Educational background in Mathematics and Statistics, Analytics, Actuarial Science, or Data Science.
• - Strong analytical mindset with a passion 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.
• - Proficiency in SQL and Python for data transformation, cleaning, and preparation.
• - Current role could in Data Analytics or Data Analyst / Data Engineer / Business Intelligence but you must have the Analytics experience

About the Company & Team

• - A scaling European tech company with a Malaysian Engineering Hub, serving B2B enterprise customers.
• - Specializes in niche, data-driven business insights tools for cargo, logistics, aviation, and shipping sectors.
• - Supports clients in making informed commercial decisions related to routes, maintenance, demand planning, operations, and forecasting models.
• - Opportunity to work with global customers, with a European head office and a Malaysian engineering hub.

Additional Notes

• - Employment passes, work visas, or relocation support are not provided.
• - Only candidates with work rights in Malaysia will be considered.
• - This role is not suitable for fresh graduates; 4-8+ years of relevant experience is required.