Technical Lead – Data Engineering

AIA

Technical Lead - Data Engineering at AIA Australia leading Azure Databricks migration efforts for data systems. Overseeing technical design and development with a focus on efficiency and collaboration.

Posted 7/22/2026full-timeSydney • 🇦🇺 AustraliaSeniorWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in data engineering, including designing and implementing scalable solutions using Azure Databricks, data modeling, and ETL automation. Proven ability to lead and mentor teams while ensuring alignment of technical delivery with business objectives.

Highest-signal resume keywords

Azure DatabricksData EngineeringETL AutomationPythonSQL

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

Data ModelingTechnical Solution DesignPerformance OptimizationData QualityData Security

Soft Skills

Problem-SolvingCommunicationLeadershipMentoringCollaboration

Tools & Technologies

Azure Cloud PlatformADFADLS

Certifications & Qualifications

Databricks Certification

Industry Keywords

InsuranceBankingFinancial Services

Tech Stack

Tools & technologies

AzureCloudETLPythonSQL

About the role

Key responsibilities & impact

Take full responsibility for defining a detailed technical solution and managing technical delivery of the data engineering team (onshore and offshore) based on detailed Business Requirements and aligned to the high level solution architecture
Design, Build and maintain scalable and efficient detailed design and frameworks using Azure Databricks for ingestion, curation and transformation of data
Responsible for data modelling, ETL automation, DevOps, data quality, data security and performance optimization leveraging best practices of Azure cloud platform
Work collaboratively with key stakeholders across Business, Analytics, IT teams (local and offshore) and vendors, ensuring alignment of data engineering efforts with business priorities
Mentor and support a team of data engineers and analysts, in development of best engineering practice and upskilling engineers in Azure databricks toolset

Requirements

What you’ll need

Extensive previous data design related experience including hands-on Data engineering and detailed design, preferably in insurance, banking or financial services industry
Demonstrated hands-on experience with developing and implementing data engineering and architecture frameworks and processes using Databricks, data modelling, and automation of ETL processes
Demonstrated proficiency with the use of relevant programming languages, tools, and technologies such as Python and SQL
Experience with Azure cloud platform and their data services like ADF, ADLS, SQL
Strong problem-solving skills with the ability to analyze complex technical issues and propose effective solutions
Excellent communication skills with the ability to convey technical concepts to both technical and non-technical stakeholders
Strong leadership skills, including the ability to mentor, coach, and develop a high-performing data engineering team
Certification in Databricks will be highly regarded
Knowledge of/or previous engineering experience within the Insurance industry would be highly regarded

Benefits

Comp & perks

Access our training and development to build on your current skills
Career development through internal mobility opportunities
Work for a business helping millions of Australians and make a difference to someone’s life everyday
Access additional leave days a year to recharge and refresh yourself
Enjoy wonderful Health and Wellbeing initiatives that support you
Work with supportive and inclusive working environment
Flexible working arrangement