- 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 productive 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
- Robust 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 (City of Sydney)
🏢 Jobtailor
📍 City of Sydney