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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 prospect 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
- Solid 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 (Sydney)
🏢 Latitude IT
📍 Sydney