About the job
As a Data & Analytics Engineer, you will leverage technologies such as PySpark, Databricks, and AWS to drive impactful data solutions. Join a groundbreaking technology spin-off from a prestigious aviation consultancy, where your work will directly influence the development of SaaS tools that empower airlines in commercial decision-making across various operational areas like route management, maintenance, demand planning, and forecasting.
Why is this role exceptional?
- Work with a market leader in a niche industry, gaining valuable international exposure and the potential for optional travel.
- Collaborate with a modern tech stack, including Angular 19, RxJS, Nest.js, AWS, Databricks, Node.js, MongoDB, Microservices, and CI/CD practices.
Project Engagements
- Enhance and support two core SaaS products that are well-established and continuously evolving.
- Contribute to a successful data product offering market insights from the supply side.
- Engage in the development and scaling of a new data product aimed at the demand side, currently in its early stages with significant growth projected for H2 2025 and beyond.
Role & Responsibilities
- Integrate data engineering with analytical practices to deliver substantial solutions.
- Design, develop, and implement data pipelines for the ingestion and transformation of large datasets.
- Create scalable data models that underpin the core platform.
- Identify trends and conduct ad-hoc analyses to generate insights that guide client decision-making.
Team Culture & Organization
- Report to the Product Manager or Head of Engineering (recently relocated from the EU to Malaysia) and work alongside a Lead Data Engineer.
- Join an ambitious, entrepreneurial team comprised of members from Malaysia and Europe, including former management consultants.
- The engineering hub in Kuala Lumpur consists of 15 staff members focusing on software development, data engineering, and analytics.

