Job Description

Data & Analytics Engineer: pyspark o databricks o 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).