Job Description

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We are implementing a contemporary data and analytics platform to strengthen data quality, governance, automation, and insight generation across our insurance and broader enterprise reporting functions. We operate in a regulated, high-sensitivity environment and are building sustainable internal capability to operate and extend our data solutions over time.

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This is a hands-on technical role contributing directly to our Databricks platform implementation. You will work alongside engineering, architecture, and data governance colleagues, collaborating across actuarial, IT, security, and implementation partners.

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The Responsibilities

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- Contribute to day-to-day technical delivery across actuarial, business, IT, and vendor stakeholders.
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- Build and maintain Databricks pipelines, notebooks, Unity Catalog configurations, orchestration workflows, and performance optimisations.
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- Support migration of priority data assets, processing logic, and analytics code into Databricks.
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- Develop reusable patterns that support maintainability, governance, auditability, and performance.
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- Apply governance practices: version control, code review, CI/CD, access control, data quality checks, and documentation standards.
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- Adhere to and contribute to standards for open source, libraries, and third-party components including security and licensing compliance.
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- Participate in technical reviews of key artefacts; support management of technical debt and BAU readiness.
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- Contribute to knowledge sharing and capability building to reduce reliance on external vendors.
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The Requirements

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- Solid Databricks / Spark delivery in production: pipeline build, orchestration, performance tuning, and operationalisation.
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- Exposure to data governance practices: RBAC, audit logging, lineage, data quality gates, and change control.
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- Experience working in a regulated or high-sensitivity data environment with strong security discipline.
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- Ability to collaborate effectively in co-delivery models with vendors and internal teams.
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- Strong SQL and Python (including PySpark); solid software engineering discipline including Git, PR/code review, and CI/CD.
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To be considered for this position, you must have real world working experience in Databricks - only those who have the same will be considered.

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NB: **This position requires you to be an Australian Citizen & living in Sydney**

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📌 Data Engineer - Databricks (New South Wales)
🏢 Precision Sourcing
📍 New South Wales