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Assistant Manager, Data Platform Engineer

Amplify Health (AIA Digital) Open
Kuala Lumpur Full-time Manager Data Engineering

At a glance

Manager-level Data Engineering role at Amplify Health (AIA Digital). Kuala Lumpur · full-time.

Pay not stated Data Engineering salary

RoleData Engineering
SeniorityManager
LocationKuala Lumpur
EmploymentFull-time
PostedFeb 12, 2026
Role brief

dataroles summary, based on the employer's posting.

What you'll do

  • Keep the big data cloud systems and applications running, tuned and monitored against agreed service levels
  • Build monitoring measures and diagnostic tools that help teams spot issues and investigate them in depth
  • Analyze platform faults, resolve live production problems quickly and take steps to prevent repeat incidents
  • Lead data platform support agents in delivering routine support to stakeholder service commitments
  • Improve analytics platforms and processes while applying existing standards and integrating changes consistently

What you bring

  • At least five years supporting database platforms in roles such as platform engineering, DBA or data platform engineering
  • A relevant bachelor's degree, with Azure big data cloud technology experience required
  • Two years using object-oriented languages such as Python or Java, plus advanced SQL and relational database knowledge
  • Experience with large-scale data processing tools such as Hadoop or Hive, and analytics products such as PowerBI

Who this fits

This manager-level role suits someone who can lead platform support agents while also troubleshooting systems independently. You may need to be on standby and work weekends to meet critical reporting or data deadlines. English communication is required.

From the employer

Are you ready to shape a better tomorrow?

AIA Digital+ is a Technology, Digital and Analytics innovation hub dedicated to powering AIA to be more efficient, connected and innovative as it fulfils its Purpose to help millions of people across Asia-Pacific live Healthier, Longer, Better Lives.

If you are hungry and driven to play an active role in shaping a better tomorrow, we want to hear from you. Because the work we do at AIA Digital+ makes a difference in the lives of millions of people, every day. We will equip you with the critical skills, tools and technology, and endless opportunities to learn, contribute and thrive in a dynamic and exciting environment.

If you want to shape a brighter future at AIA Digital+, please read on.

About the Role

Providing technical support for Group Application Data Platform. Support, maintain and monitor big data cloud-based technologies and applications including ETL tools, data repositories and databases as well as data pipeline components under Group Application Data Platform against SLAs as agreed with various business stakeholders. Manage the team of data platform support agents to ensure BAU support provided according to SLAs set with various business stakeholders.

Key responsibilities

  • Responsible for maintaining and optimizing big data cloud-based systems and applications.
  • Able to work and implement advanced monitoring and metrics to provide operational rigor and oversight for all levels of business expectation.
  • Analyze and troubleshooting issues related to big data cloud-based systems and applications under Group Application Data Platform.
  • Develop and manage diagnostic and instrumental tools for troubleshooting and in-depth analysis
  • Continuously refine and improve of Data Analytics platforms and systems
  • May require standby and work during weekend to meet the critical business reporting timeline and/or data needs Support / Standardize
  • Ensure that existing guidelines, standards and best practices are followed and applied to development projects
  • Take ownership for issues to reach resolutions to prevent recurrences
  • Troubleshoot and resolve production issues under tight deadlines
  • Proactively identify the impact of potential process changes, integrate new initiatives with existing processes, and ensure that all processes are consistent and fit together.
  • Ability to effectively present information and respond to questions from groups of managements, business users, expertise from other technical areas, and peers
  • Able to work independently and strong problem-solving skill.

Minimum Job Requirements:
Education:

  • Bachelor’s degree in IT or other relevant discipline.

Experience:

  • 5+ years IT work experience in database platform support role e.g. Platform Engineer, DBA and/or Data Platform Engineer.
  • Tertiary qualification in ANY of the following: Degree in Information Technology or Computer Science or Maths/Statistical

Technical skills:

  • Azure Big Data Cloud Technologies experience is a mandatory requirement
  • Solid understanding and some practical experience in:
  • 2 years of experience in object-oriented programming languages, like Python, Java, and Scala.
  • Advanced SQL skills and relational database management.
  • Experience with Hadoop/MapReduce/Pig/Hive/EMR/Redshift for large data processing
  • Experience in managing Data Analytics tools such as PowerBI and Alteryx.
  • Cloud computing certifications/licenses – Azure certification could be an advantage.

Soft Skills

  • Excellent language and visual skills for producing well-structured technical documentation and operational procedures in English
  • Able to communicate English.
  • Knowledge on ITIL processes
  • Strong customer focus with excellent client engagement, verbal and written communication skills.
  • Ability to innovate under pressure, analyze complex problems and find solutions.

Build a career with us as we help our customers and the community live healthier, longer, better lives.

You must provide all requested information, including Personal Data, to be considered for this career opportunity. Failure to provide such information may influence the processing and outcome of your application. You are responsible for ensuring that the information you submit is accurate and up-to-date.

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.