Data Engineer

Job Description Y OUR ROLE AS A: Data Engineer. Whether you’re applying for a developer, customer happiness, or crew role, at AirAsia we act as One AirAsia. If you are hungry to make a difference with one of the most well-known low-cost airlines and work in a dynamic technology hub, this is the perfect journey for you to take off as an Allstar employee! AirAsia.com’s data team drives conversion, personalization, and revenue growth across flights and other lines of business. We are looking for forward-thinking Allstars to join an innovative, dynamic team that works in tandem with product and tech departments. In this role, you will help develop future models and tools to drive better decisions and accelerated growth. WHAT YOU’LL CHAMPION: As a Data Engineer, your day-to-day duties will encompass the following areas: • Operational Excellence: Provide essential operational support, including system troubleshooting and implementing technical fixes. • Data Quality Assurance: Ensure absolute data integrity and data quality across environments. • Process Optimization: Continuously improve internal processes through automation, pipeline optimization, and infrastructure re-design. • Cross-Functional Collaboration: Support and collaborate closely with cross-functional and multidisciplinary teams in a fast-paced environment. • Data Impact: Leverage data visualization tools and techniques to maximize the business impact and intrinsic value of data. • Internal Stakeholder Management: Manage technical communication, alignment, and relationships with internal business units, product managers, and engineering teams to ensure data deliverables align with organizational goals. • Governance & Compliance: Contribute to improving data governance policies and maintaining data compliance standards. • Continuous Learning: Keep continuously current with the latest technical and industry developments. WHO YOU ARE: We are looking for someone who meets the following profile: Education & Experience • Education: BS in IT, Mathematics, Science, or an Engineering discipline. • Experience: Up to 4+ years of relevant data engineering experience beyond your first degree. Core Technical Skills • Data Pipelines: Familiarity with data ETL (Extract, Transform, Load) processes from a wide variety of data sources. • Databases: Hands-on experience working with both SQL and NoSQL databases. • Workflow Management: Proven experience with pipeline and workflow management tools. • Streaming & Messaging: Experience with various messaging protocols and stream processing frameworks. • Programming: Strong experience with object-oriented or object-functional scripting languages. • Cloud & Infrastructure: Familiarity with containerization and orchestration tools , alongside strong proficiency with the Google Cloud Platform (GCP) and its suite of tools/services. • Big Data & Distributed Systems: Proficient understanding of distributed computing principles with the ability to select and integrate big data tools and frameworks. • Engineering Best Practices: Practical experience with code versioning, structured code reviews, and comprehensive documentation practices. • Productivity Tools: Good working knowledge of collaboration tools such as G Suite, Git, Jira, and Confluence. Behavioral Competencies Ideal Competencies for Operations Support & AI Troubleshooting To excel in providing operational support and handling live production troubleshooting, the ideal candidate must possess the following behavioral traits: • AI-Augmented Problem Solving: A proactive instinct to pair traditional debugging methods with AI diagnostic tools, maximizing efficiency when isolating complex system errors. • Analytical Diagnostics: The ability to approach ambiguous, live system issues logically, isolating root causes quickly rather than just treating symptoms. * Resilience & Agility Under Pressure: The capacity to maintain composure and focus during critical system outages or rapid operational shifts, balancing speed with reliability. • Accountability & Ownership: A proactive mindset that takes full ownership of operational issues from the moment they are detected until they are completely resolved and documented. • Clear Incident Communication: The skill to translate complex technical blockers into clear status updates for cross-functional stakeholders and external vendors during high-stakes situations. General Competencies • Balanced Execution: Ability to work effectively under pressure and change, balancing trade-offs between speed, reliability, and interpretability. • Design & Innovation Mindset: Familiar with or naturally prone to adopting design thinking methods. • Growth Mindset: High level of openness to experimenting with new techniques, tools, and modern ways of working.