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

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.

Data Engineering, Consultant

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