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 effective 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
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
Core Competencies
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 Databricks
Data Engineering
ETL Automation
Python
SQL
ATS Optimization Keywords
Hard Skills
Data Modeling
Technical Solution Design
Performance Optimization
Data Quality
Data Security
Soft Skills
Problem-Solving
Communication
Leadership
Mentoring
Collaboration
Certifications & Qualifications
Databricks Certification
Industry Keywords
Insurance
Banking
Financial Services
Tools & Technologies
Azure Cloud Platform
ADF
ADLS
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📌 Technical Lead – Data Engineering (Sydney)
🏢 Jobtailor
📍 Sydney