Data Engineering, Consultant
Kuala Lumpur, MY-AIA Malaysia
- Pay
- Pay not listed
- Work setting
- Not stated
- Employment
Full-time — employment source
Employment type in the employer’s listing: Full time
From the employer’s posting
What you’ll work on
Full postingThis role is hands-on and will focus on designing, implementing, and integrating advanced data engineering with AI solutions integration across the enterprise.
Act as the technical lead for data engineering initiatives.
Design, build, and optimize scalable data pipelines and architectures
Oversee end-to-end project execution, from design through deployment
Define the BAU support model after project implementation
Manage external vendors to meet quality, security, and performance standards
From the employer’s posting
This role is hands-on and will focus on designing, implementing, and integrating advanced data engineering with AI solutions integration across the enterprise.
Act as the technical lead for data engineering initiatives.
Design, build, and optimize scalable data pipelines and architectures using
Oversee end-to-end project execution, from design through deployment.
Define and establish the Business-As-Usual (BAU) support model post-project implementation.
Serve as the primary technical liaison with external vendors, ensuring deliverables meet quality, security, and performance standards.
What you’ll bring
All qualificationsCore experience
- Strong Azure Databricks data engineering experience
- PySpark, pipeline building, and Spark performance tuning
- Advanced SQL, including joins, window functions, and data modeling
- Delta Lake skills: MERGE, Time Travel, partitioning, OPTIMIZE and VACUUM
Qualification wording
Strong experience in Azure Databricks Data Engineering
1) PySpark Building data pipelines Data transformations Spark performance tuning
2) SQL Complex queries Joins, window functions Data modeling
3) Delta Lake MERGE (upsert) Time Travel Partitioning OPTIMIZE and VACUUM
Education & alternatives
- Able to work with peers and other stakeholders, a team. player experience and best practices in financial industries. - Bachelor of Science Degree in Computer Science or related. #LI-DNI
Tools in this posting
- Python
- Scala
- SQL
- Azure
- Databricks
- Delta Lake
- Kafka
- Terraform
- PySpark
Source — Tool mentions in context
2) Programming - Python (mandatory) - Scala (optional)
- Python (mandatory) - Scala (optional) - Sound experience in execution of IT projects with high level of expertise in system application and technology implementation delivery.
- Spark performance tuning 2) SQL - Complex queries
- Governance & Compliance - Adhere to company governance processes for Azure service provisioning, access management, and security compliance. - Work closely with the Group CCoE and technical counterparts for component provisioning, user access, and platform governance.
- Experienced in engaging business stakeholders for requirement analysis and discussions - Strong experience in Azure Databricks Data Engineering in the following context: Must-Have Skills:
1) Cloud Knowledge - Azure Databricks (preferred for many enterprises) - ADLS Gen2
- ADF - Azure DevOps 2) Streaming
- OPTIMIZE and VACUUM 4) Databricks Platform - Notebooks
- Terraform - Databricks Asset Bundles 2) Programming
- Data modeling 3) Delta Lake - MERGE (upsert)
- Structured Streaming - Kafka or Event Hub 3) Governance & Security
- CI/CD pipelines - Terraform - Databricks Asset Bundles
Must-Have Skills: 1) PySpark - Building data pipelines
Posting record
Report an errorOpen 3 monthsWe first saw this listing 91 days ago and it is still up. Roles open this long are often slow to fill or kept open to collect applications.
- Status in our records
- Live
- First seen by us
- Jul 23, 2026 · 91 days ago
- Recorded sightings
- 106
- Last seen by us
- Oct 22, 2026
These dates show when we found the listing. Check the employer’s website to confirm it is still accepting applications.
Your next step
- Have your resume and examples of relevant work ready.
- Check the listed location, eligibility and core experience before starting.
- Ask the employer about the pay range before committing time to the process.
Complete your application on aia.wd3.myworkdayjobs.com. The employer’s form will show what is required.
Already applied? Track this application
Job description
At AIA we’ve started an exciting movement to create a healthier, more sustainable future for everyone.
As pioneering innovators for over 100 years, we’re now transforming our organisation to be faster, simpler and more connected. Because we want to be even better equipped to develop digital solutions and experiences that help more people live Healthier, Longer, Better Lives.
To get there, we need people with tech/digital/analytics expertise and passion to help develop positive, sustainable change through digitally enhanced experiences that will impact the lives of millions of people and create a healthier future for everyone.
If you believe in developing a better tomorrow, read on.
About the Role
This role is hands-on and will focus on designing, implementing, and integrating advanced data engineering with AI solutions integration across the enterprise.Roles and Responsibilities:
- Technical Leadership
Act as the technical lead for data engineering initiatives.
Design, build, and optimize scalable data pipelines and architectures using enterprise tools and software.
Drive integration of API services and components together with enterprise data platforms for digital applications.
- Project Delivery & Integration
Collaborate with internal application teams to align on project deliverables, timelines, integration requirements, and implementation strategies.
Ensure adherence to company processes for services and infra provisioning, including user access management and compliance with governance standards.
Oversee end-to-end project execution, from design through deployment.
- Operation Excellence
Define and establish the Business-As-Usual (BAU) support model post-project implementation.
Participate in BAU support activities as needed, ensuring smooth operations and issue resolution.
Drive continuous improvement in data engineering practices and operational processes.
- Vendor & Stakeholder Management
Serve as the primary technical liaison with external vendors, ensuring deliverables meet quality, security, and performance standards.
Manage vendor relationships to align with project goals, budgets, and timelines.
Communicate effectively with stakeholders across business and technology teams.
- Innovation & Best Practices
Stay current with emerging Data Engineering technologies and assess their applicability to enterprise data solutions.
Champion best practices in data engineering, cloud architecture, and AI integration.
Contribute to the development of enterprise standards, frameworks, and reusable components.
- Governance & Compliance
Adhere to company governance processes for Azure service provisioning, access management, and security compliance.
Work closely with the Group CCoE and technical counterparts for component provisioning, user access, and platform governance.
Minimum Job Requirements:
Min 8-10 years of data engineering design and development Plan and manage end-to-end delivery and work assignments within the assigned projects.
Excellent skills in Business user engagement and stakeholder management
Experienced in engaging business stakeholders for requirement analysis and discussions
Strong experience in Azure Databricks Data Engineering in the following context:
Must-Have Skills:
1) PySpark
Building data pipelines
Data transformations
Spark performance tuning
2) SQL
Complex queries
Joins, window functions
Data modeling
3) Delta Lake
MERGE (upsert)
Time Travel
Partitioning
OPTIMIZE and VACUUM
4) Databricks Platform
Notebooks
Workflows/Jobs
Cluster management
Git integration
5) Lakehouse Architecture
Bronze, Silver, Gold layers
ETL/ELT design
Important Skills:
1) Cloud Knowledge
Azure Databricks (preferred for many enterprises)
ADLS Gen2
ADF
Azure DevOps
2) Streaming
Auto Loader
Structured Streaming
Kafka or Event Hub
3) Governance & Security
Unity Catalog
Access control
Data lineage
Nice-to-Have Skills:
1) DevOps/DataOps
CI/CD pipelines
Terraform
Databricks Asset Bundles
2) Programming
Python (mandatory)
Scala (optional)
- Sound experience in execution of IT projects with high level of expertise in system application and technology implementation delivery.
- Strong communication skills with ability to communicate with stakeholders.
- Strong analytical and problem-solving skills.
- Domain proficiency in insurance business and its operations.
- Able to work independently and highly self-motivated.
- Able to work with peers and other stakeholders, a team. player experience and best practices in financial industries.
- Bachelor of Science Degree in Computer Science or related.
#LI-DNI
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.
Source details
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
No pay amount identified in the saved description.
- Location & working pattern
Kuala Lumpur, MY-AIA Malaysia
Working pattern and location restrictions need checking in the full posting.
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.
See how this role fits your experience
Add your resume to compare the role’s scope, tools and requirements with your experience.