Analytics Engineer/ Senior: Pyspark / Databricks

Fuku; Kuala Lumpur; Hybrid; MYR 100,000 - 150,000; Full time

Job summary

A data-driven technology firm is seeking an Analytics Engineer/Senior to design and implement data pipelines, build scalable models, and generate business insights. The role requires proficiency in SQL and Python, an analytical mindset, and 4–5+ years of experience. You will work in a collaborative hybrid environment based in Kuala Lumpur. This position offers an opportunity to engage with advanced technologies like Pyspark and Databricks while contributing to impactful data products.

Qualifications

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

Responsibilities

• Design, develop, and implement data pipelines for large volumes.
• Build scalable data models powering core platform.
• Identify and analyze trends for client insights.

Skills

Proficiency in SQL

Proficiency in Python

Analytical mindset

Problem-solving skills

Education

Quantitative degree

Tools

Pyspark

Databricks

AWS cloud infrastructure

Job description

Analytics Engineer / Senior: Pyspark / Databricks

Why Join Us?

• Be part of 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 two mature core SaaS products that are 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, with major growth planned for H2 2025 and into 2026.

Role and Responsibilities

• Combine data engineering and analytics to deliver business value.
• Design, develop, and implement data pipelines for ingesting and transforming 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).
• Collaborate with lead/senior Data Engineers based in Kuala Lumpur and Europe.
• Join 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 SQL and Python for data transformation, cleaning, and preparation.
• Strong analytical mindset with a passion for working with numbers and turning data into actionable insights.
• Ability to define and solve ambiguous, open‑ended business problems through exploratory and analytical approaches.
• Excellent communication and problem‑solving skills.

Nice to Have

• Experience with Pyspark, Databricks, and 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 office per week.
• Office located in Bangsar South / KL Gateway (close to MRT / LRT).