Analytics Engineer/ Senior: Pyspark / Databricks

• 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).

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