Snowflake Engineer

Hawksworth Consulting; Sydney; On-site; AUD 140,000 - 210,000; Full time

Job summary

Hawksworth Consulting, on behalf of a leading Data & AI practice, seeks an experienced Snowflake Engineer to deliver large-scale transformation programs across enterprise environments. You will design, develop and optimise cloud-based data solutions using Snowflake and modern tools, collaborating with client-facing delivery teams.

This hands-on role focuses on scalable data platforms, data products and robust pipelines in a fast-paced consulting setting.

Qualifications

• Minimum 5+ years' experience in Data Engineering and Data Warehousing.
• Strong SQL and scripting skills.
• Hands-on Snowflake experience.
• Experience with Azure, AWS or GCP.
• Excellent client-facing communication.

Responsibilities

• Design and build scalable data products and solutions on Snowflake.
• Develop and maintain ETL/ELT pipelines and workflows.
• Perform data modelling, mapping and transformation activities.
• Integrate Snowflake with cloud platforms including Azure, AWS or GCP.
• Work with modern data engineering tools such as dbt.
• Optimise Snowflake performance, storage and query efficiency.
• Collaborate with stakeholders, architects and engineering teams on solution delivery.
• Support best practices across data engineering, security and platform optimisation.

Skills

SQL

Programming languages (Python/Java/Sca

Data modelling

RBAC & security

Cloud platforms (Azure/AWS/GCP)

Data warehousing

ETL/ELT design

Client-facing communication

Tools

Snowflake

dbt

Job description

We're partnering with a leading consultancy to recruit an experienced Snowflake Engineer to join a growing Data & AI practice delivering large-scale, client-facing transformation programs across enterprise environments.

This is an opportunity to work with modern cloud and data technologies, helping clients build scalable, AI-ready data platforms while collaborating with high-performing engineering and architecture teams.

The Opportunity As a Snowflake Engineer, you will be responsible for designing, developing and optimising cloud-based data solutions using Snowflake and modern data engineering tools. You'll work closely with clients, architects and delivery teams to build scalable data products, develop robust pipelines and support enterprise data transformation initiatives.

This role would suit someone who enjoys hands-on engineering work in a fast-paced consulting environment and is passionate about modern cloud data platforms.

Key Responsibilities

• Design and build scalable data products and solutions on Snowflake
• Develop and maintain ETL/ELT pipelines and workflows
• Perform data modelling, mapping and transformation activities
• Integrate Snowflake with cloud platforms including Azure, AWS or GCP
• Work with modern data engineering tools such as dbt
• Optimise Snowflake performance, storage and query efficiency
• Collaborate with stakeholders, architects and engineering teams on solution delivery
• Support best practices across data engineering, security and platform optimisation

Key Skills & Experience

• Strong SQL skills with the ability to write complex queries for data extraction, transformation and analysis
• Proficiency in at least one programming language such as Python, Java or Scala
• Hands-on experience setting up and managing Snowflake environments
• Strong understanding of Snowflake security and RBAC,Performance tuning and optimisation, Data warehousing best practices
• Experience working with at least one major cloud platform: Azure, AWS, GCP
• Minimum 5+ years' experience in Data Engineering and Data Warehousing
• Strong experience with ETL/ELT processes and related tooling
• Strong communication skills and ability to work in client-facing environments

If you're passionate about cloud data engineering and enjoy building modern, scalable data solutions, we'd love to hear from you.