Data and Analytics Engineer

Fuku; Kuala Lumpur; Hybrid; MYR 70,000 - 90,000; Full time

Job summary

A data-driven tech spin-off in Kuala Lumpur is seeking a Data & Analytics Engineer to design data pipelines, build scalable models, and deliver insights for informed decision-making. The ideal candidate has 4-5+ years of experience, strong analytical skills, and proficiency in Python and SQL. This role is hybrid, requiring 3 days at the office in Bangsar South, and offers significant growth potential. Join a team of ambitious professionals with international exposure and a modern tech stack.

Qualifications

• 4–5+ years of hands-on data experience.
• Not suitable for data analysts with experience limited to building dashboards.

Responsibilities

• Deliver impactful solutions combining data engineering and analysis.
• Design and implement data pipelines to ingest and transform data.
• Build scalable data models for the core platform.
• Analyze trends and perform ad-hoc analysis for insights.

Skills

Proficiency in Python

Strong analytical skills

Excellent communication

Problem-solving abilities

Education

Quantitative degree or consulting background

Tools

Databricks

AWS cloud infrastructure

Job description

Data & Analytics Engineer: pyspark • databricks • aws

Why is this role awesome?

• Join a data-driven technology spin-off from a leading aviation strategy, logistics, and air cargo consultancy.
• Contribute to building SaaS tools that empower airlines to make informed commercial decisions across routes, maintenance, demand planning, operations, and forecasting.
• Work with a niche market leader, gain international exposure, and enjoy optional international travel opportunities.
• Modern tech stack includes: Angular 19 & RxJS, Nest.js, AWS, Databricks, Node.js, MongoDB, Micro‑services, and CI/CD.

Projects

• Support and enhance two core SaaS products that are mature, actively used by customers, and continuously evolving.
• Contribute to a successful data product providing market insights from the supply side.
• Participate in the development and scaling of a new data product targeting the demand side, currently in its initial phase, with significant growth planned for H2 2025 and into 2026.

Role and Responsibilities

• Combine data engineering and analysis to deliver impactful solutions.
• Design, develop, and implement data pipelines to ingest and transform large volumes of data.
• Build scalable data models that power the core platform.
• Identify and analyze trends, and perform ad‑hoc analysis to generate insights that help clients make informed decisions.

Team Organization & Culture

• Report to either the Product Manager or Head of Engineering (relocated from EU to Malaysia), and collaborate with a Lead Data Engineer.
• Be part of an entrepreneurial and ambitious team from Malaysia and Europe, including ex‑management consultants.
• The engineering hub in Kuala Lumpur (15 staff) supports software development, data engineering, and analytics.

Must Have

• Proficiency in Python and SQL.
• Strong analytical skills and a passion for working with numbers to deliver actionable insights.
• Excellent communication and problem‑solving abilities.

Nice to Have

• Experience with Databricks and/or AWS cloud infrastructure.
• Background in consulting or a quantitative degree.

Grade / Level

• 100% individual contributor role.
• 4–5+ years of hands‑on data experience.
• Not suitable for data analysts with experience limited to building dashboards.

Work Arrangement

• Hybrid work model: 3 days in the office.
• Office located in Bangsar South / KL Gateway (close to MRT / LRT).