As an Azure Snowflake Data Engineer you will play a key role in designing and delivering modern data platforms for our clients. This is a client-facing role suited to someone who thrives in consulting environments and enjoys solving complex business and technical challenges.
Key Responsibilities
- Design and deliver scalable secure and cost-effective data platforms on Microsoft Azure
- Build and orchestrate robust data pipelines using Azure Data Factory (ADF)
- Develop optimise and manage enterprise-grade data models in Snowflake
- Implement transformation and analytics engineering frameworks using dbt
- Lead or contribute to large-scale data transformation programs
- Work closely with client stakeholders to gather requirements and translate business needs into technical solutions
- Establish best practices across data architecture modelling governance and CI/CD
- Optimise performance reliability and cost in cloud environments
Required Experience & Skills
- 5 years experience in data engineering ideally within consulting or professional services
- Demonstrated experience delivering large-scale enterprise data projects (multi-source integrations high-volume datasets complex transformations)
- Strong hands-on expertise in:
- Microsoft Azure data services (Data Lake Synapse Azure SQL etc.)
- Azure Data Factory (ADF)
- Snowflake
- dbt
- Advanced SQL and strong data modelling skills (dimensional modelling ELT patterns)
- Experience designing cloud-native architectures
- Strong understanding of DevOps CI/CD and infrastructure-as-code principles
- Experience implementing data quality lineage and governance frameworks
- Excellent stakeholder communication skills
Highly Regarded
- Experience in Australian enterprise environments (banking & finance retail government)
- Microsoft Azure or Snowflake certifications
- Experience with Agile delivery methodologies
- Experience contributing to solution architecture and technical design documentation
What Were Looking For
- A consulting mindset with strong client engagement capability
- Proven ability to deliver in complex multi-stakeholder environments
- Strong ownership and accountability across the full delivery lifecycle
- Ability to balance technical excellence with pragmatic business outcomes
- Passion for mentoring and uplifting engineering capability
Required Experience:
IC
As an Azure Snowflake Data Engineer you will play a key role in designing and delivering modern data platforms for our clients. This is a client-facing role suited to someone who thrives in consulting environments and enjoys solving complex business and technical challenges.Key ResponsibilitiesDesig...
As an Azure Snowflake Data Engineer you will play a key role in designing and delivering modern data platforms for our clients. This is a client-facing role suited to someone who thrives in consulting environments and enjoys solving complex business and technical challenges.
Key Responsibilities
- Design and deliver scalable secure and cost-effective data platforms on Microsoft Azure
- Build and orchestrate robust data pipelines using Azure Data Factory (ADF)
- Develop optimise and manage enterprise-grade data models in Snowflake
- Implement transformation and analytics engineering frameworks using dbt
- Lead or contribute to large-scale data transformation programs
- Work closely with client stakeholders to gather requirements and translate business needs into technical solutions
- Establish best practices across data architecture modelling governance and CI/CD
- Optimise performance reliability and cost in cloud environments
Required Experience & Skills
- 5 years experience in data engineering ideally within consulting or professional services
- Demonstrated experience delivering large-scale enterprise data projects (multi-source integrations high-volume datasets complex transformations)
- Strong hands-on expertise in:
- Microsoft Azure data services (Data Lake Synapse Azure SQL etc.)
- Azure Data Factory (ADF)
- Snowflake
- dbt
- Advanced SQL and strong data modelling skills (dimensional modelling ELT patterns)
- Experience designing cloud-native architectures
- Strong understanding of DevOps CI/CD and infrastructure-as-code principles
- Experience implementing data quality lineage and governance frameworks
- Excellent stakeholder communication skills
Highly Regarded
- Experience in Australian enterprise environments (banking & finance retail government)
- Microsoft Azure or Snowflake certifications
- Experience with Agile delivery methodologies
- Experience contributing to solution architecture and technical design documentation
What Were Looking For
- A consulting mindset with strong client engagement capability
- Proven ability to deliver in complex multi-stakeholder environments
- Strong ownership and accountability across the full delivery lifecycle
- Ability to balance technical excellence with pragmatic business outcomes
- Passion for mentoring and uplifting engineering capability
Required Experience:
IC
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