AI
AirAsiaSenior Data Engineer
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Before you apply
LocationKuala Lumpur - RedQ
Typefull-time
SenioritySenior
Experience4+ yrs
Company size10,000+ people
PostedSep 15, 2026 · 1mo ago
Verified live1d ago
At a glanceSummarised by Seekless from the posting.
BS/MS/PhD in IT, Mathematics, Science or Engineering discipline
Up to 4+ yrs relevant experience beyond first degree
Experience with one of the following languages: Python, Spark
Experience with DAG, airflow, terraform
Familiar with data ETL from a wide variety of data sources
Experience with SQL and NoSQL databases
Experience with pipeline and workflow management tools
Experience with various messaging and stream processing
Experience with object-oriented/object function scripting languages
Familiar with containerisation and orchestration tools
Familiar with one of the following cloud-based services: GCP and its tools and services
Ability to work under pressure and change, and balance among speed, reliability, and interpretability
Good working knowledge of productivity tools such as G Suite, Git, Jira, Confluence
Experience with code versioning, code review and documentation
Proficient understanding of distributed computing principles
Able to select and integrate big data tools and frameworks
Familiar or prone to adopt design thinking methods
Openness to experimenting with new techniques and new ways of working
Background check and/or other assessments
Skills
Python
Spark
DAG
Airflow
Terraform
SQL
NoSQL
GCP
Git
Jira
Confluence
G Suite
Benefits
Health insurance
Insurance
Maternity expenses
Flexible work arrangement
Fitness amenities
Paid time off
Wellness programmes
Childcare amenities
Career growth programmes
Free flights
Unlimited discounted flights
Exclusive discounts
Wellness
Remote stipend
About the role
Job Description
WHAT YOU’LL CHAMPION:
As a Senior 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:
•
BS/MS/PhD in IT, Mathematics, Science or Engineering discipline Up to 4+ yrs relevant experience beyond first degree
•
Experience with one of the following languages: Python, Spark
•
Experience with DAG, airflow, terraform
•
Familiar with data ETL from a wide variety of data sources.
•
Experience with SQL and NoSQL databases.
•
Experience with pipeline and workflow management tools.
•
Experience with various messaging and stream processing.
•
Experience with object-oriented/object function scripting languages.
•
Familiar with containerisation and orchestration tools.
•
Familiar with one of the following cloud-based services: GCP and its tools and services.
•
Ability to work under pressure and change, and balance among speed, reliability, and interpretability.
•
Good working knowledge of productivity tools such as G Suite, Git, Jira, Confluence.
•
Experience with code versioning, code review and documentation.
•
Proficient understanding of distributed computing principles.
•
Able to select and integrate big data tools and frameworks.
•
Familiar or prone to adopt design thinking methods.
•
Openness to experimenting with new techniques and new ways of working.
WHAT YOU’LL ENJOY:
•
Physical Wellbeing: Key medical and insurance benefits, maternity expenses, flexible work arrangement, and health and fitness amenities.
•
Emotional Wellbeing: Paid time off, wellness programmes, and childcare amenities.
•
Financial Wellbeing: Resources relating to financial, personal skills and career growth programmes.
•
Allstars Specials: Free flights, unlimited discounted flights, and exclusive discounts with partners.
•
A unique Allstar culture like no other
OUR HIRING PROCESS:
•
Application received
•
Candidate screening
•
Interview(s) and assessment(s)
•
Background check and/or other assessments
•
Offer and negotiation
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