Analytics Engineer/ Senior: Pyspark / Databricks
Fuku
Posted: January 8, 2026
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Quick Summary
Contribute to building SaaS tools that empower airlines to make informed commercial decisions across routes, maintenance, demand planning, operations, and forecasting.
Required Skills
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).