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dataroles

Senior Data Engineer

Airasia Open
Kuala Lumpur - RedQ Full-time Senior Data Engineering

At a glance

Senior Data Engineering role at Airasia. Kuala Lumpur - RedQ · full-time.

Pay not stated Data Engineer salary

RoleData Engineering
SenioritySenior
LocationKuala Lumpur - RedQ
EmploymentFull-time
PostedNov 3, 2026
Role brief

dataroles summary, based on the employer's posting.

What you'll do

  • Troubleshoot systems and apply technical fixes to keep data operations running
  • Protect data integrity across environments and strengthen quality checks
  • Automate processes, tune pipelines and redesign infrastructure to improve how data work gets done
  • Use visualization methods to increase the usefulness and business impact of data
  • Coordinate delivery with business units, product managers and engineering teams, while contributing to governance and compliance

What you bring

  • A degree in IT, mathematics, science or engineering, with up to four or more years of relevant work afterward
  • Hands-on experience with Python or Spark, plus DAGs, Airflow or Terraform
  • Experience handling ETL across varied sources, databases, pipelines and workflow tools
  • Working knowledge of distributed computing, code review and version control, with the ability to choose and connect big-data tools

Who this fits

This role suits a senior data engineer comfortable balancing speed, reliability and interpretability while working through pressure and change. You’ll collaborate with internal teams and keep learning as tools and practices evolve.

From the employer


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
Opportunity

Data Engineering work from LinkedIn, X, Reddit and Upwork, in one list.

Each morning you get everything that fits, strongest first.

Data Engineering

Find me work

By the team behind dataroles.

Find me work
Opportunity

Data Engineering work from LinkedIn, X, Reddit and Upwork, in one list.

Each morning you get everything that fits, strongest first.

Find me work

By the team behind dataroles.