Job Description
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Recruitment Specialist - Data & Analytics Practice
We're partnering with a leading insurer undergoing major digital transformation to find a Lead Data Engineer with deep expertise in Azure and a passion for building scalable, intelligent data solutions.
This is your opportunity to drive cloud-first data engineering practices and lead the development of a best-in-class data platform powering analytics, reporting, and machine learning across the enterprise.
What You'll Be Doing:
Lead the architecture and evolution of a modern data platform built on Azure cloud technologies
Design and implement robust data pipelines, ensuring they're modular, testable, and reusable
Define and champion engineering best practices across the data lifecycle, from ingestion to consumption
Mentor a team of data engineers and provide technical oversight across internal and partner teams
Drive improvements in code quality, monitoring, deployment, and infrastructure automation
Collaborate with architects, analysts, and stakeholders to deliver trusted, high-quality data assets
Lead initiatives around data modelling, metadata, governance, and lineage visibility
What We're Looking For:
10+ years of experience in data engineering or software development roles
Deep, hands-on experience with Azure data services including Azure Data Lake, Synapse, Azure SQL, and Spark/PySpark
Solid understanding of data architecture concepts including lakehouse patterns, star/snowflake schema, and dimensional modelling
Strong skills in Python, SQL,



and infrastructure-as-code (e.g., YAML, Bicep)
Experience deploying data solutions using CI/CD pipelines and DevOps practices
Ability to lead complex data initiatives, influence engineering decisions, and guide technical teams
Bonus points for exposure to MLOps, data observability tools, and insurance or financial services
Why You'll Love This Role
Be a key player in a large-scale data modernisation journey
Join a skilled, tight-knit data team with a strong engineering culture
Make a real impact by shaping the tools, processes, and standards used across the enterprise
Work for an organisation committed to innovation, inclusion, and doing meaningful work
Seniority level
Seniority level
Mid-Senior level
Employment type
Employment type
Full-time
Job function
Job function
Information Technology
Industries
Information Services
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📌 Technical Lead - Data Engineering (New South Wales)
🏢 Latitude IT
📍 New South Wales