Senior Data Engineer
Posted Updated 3
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Summary
Senior Data Engineer joining an enterprise insurance claims transformation squad in Sydney, building a greenfield Snowflake data warehouse: designing scalable pipelines and data models, migrating SharePoint-based data, and contributing to DataOps/CI-CD practices. Core stack: Snowflake, DBT, SQL, Azure; day rate up to $1,000.
Salary: Up to $1000/day
About the RoleAn exciting opportunity is available for a Senior Data Engineer to join a growing Information Technology team within a large, enterprise environment.
In this role, you will play a key part in executing the organisation's data strategy, contributing to the design, build, and ongoing enhancement of an Enterprise Data Warehouse. You'll work closely with engineers, architects, and business stakeholders to deliver scalable data solutions that support advanced analytics and decision-making.
This position sits within a Claims-focused enterprise squad, supporting a major transformation initiative. You will be involved in migrating and modernising data pipelines (including large volumes of SharePoint-based data) into Snowflake, modelling data, and enabling analytics capabilities for business users.
This is a greenfield project, offering the opportunity to shape new solutions while leveraging existing platforms and best practices already established across the organisation.
Key Responsibilities
- Design, build, and maintain scalable data pipelines and data warehouse solutions
- Develop and optimise data models to support analytics and reporting use cases
- Work with stakeholders to understand data requirements and deliver high-quality data solutions
- Contribute to DataOps/DevOps practices, including pull requests, deployments, and CI/CD processes
- Support and continuously improve existing data pipelines and warehouse structures
- Collaborate within an agile delivery environment to deliver incremental value
- 7-8+ years' experience in data engineering or data warehousing roles
- Strong hands-on experience with Snowflake, DBT, and SQL (essential)
- Solid experience with DataOps/DevOps practices, ideally within an Azure environment
- Proven experience in data modelling and enterprise data warehouse design
- End-to-end data warehousing experience (ETL/ELT, modelling, reporting/analytics enablement)
- Experience working with SQL-based data tools and modern data platforms
- Exposure to AWS is beneficial
- Experience with Informatica Intelligent Data Management Cloud (IDMC) is highly regarded
- Background in insurance or claims data is preferred
- Strong analytical thinking and problem-solving capability (including working in environments with AI-assisted tooling)
- Experience working in agile frameworks (e.g. SAFe)
- Excellent communication skills and ability to engage with technical and non-technical stakeholders
- Opportunity to work on a high-impact, enterprise-wide data transformation
- Greenfield initiative with strong existing platform support
- Collaborative environment with experienced engineers and architects
- Exposure to modern data technologies and AI-enabled tooling