Data Engineer

Whizdom; Western Australia; On-site; AUD 120,000 - 170,000; Part time

Job summary

Whizdom is partnering with a leading global technology and consulting organisation delivering a major data and analytics transformation programme for a large Australian infrastructure client. They seek an experienced Data Engineer to join a modern data environment supporting enterprise analytics, forecasting and data science.

The role involves designing and maintaining scalable data solutions using Snowflake, dbt and Databricks, building pipelines and collaborating with data scientists, analysts

Qualifications

• 5+ years of experience in data engineering.
• Strong commercial Snowflake experience.
• Advanced SQL and data modelling skills.
• Hands-on experience with dbt.
• Experience with Databricks notebooks and workflows.
• Exposure to Databricks CLI and Asset Bundles.
• Strong understanding of ETL/ELT, pipeline development and data quality.
• Experience with Git, CI/CD and deployment automation.
• Experience supporting analytics, forecasting or data science environments.
• Exposure to time-series data, forecasting concepts or statistical analysis.

Responsibilities

• Designing and developing scalable data models using dbt.
• Building complex data transformations, joins and aggregations.
• Developing and optimising SQL solutions within Snowflake.
• Building reliable and maintainable data pipelines.
• Developing Databricks notebooks and workflows.
• Using Databricks CLI and Asset Bundles to support deployments.
• Preparing high-quality datasets for forecasting and advanced analytics.
• Implementing testing, documentation and data-quality practices.
• Supporting data governance and platform optimisation.
• Working closely with data engineers, analysts and data scientists.
• Applying strong software engineering, Git and CI/CD practices.

Skills

Snowflake

Advanced SQL

dbt

Databricks

ETL/ELT pipelines

CI/CD

Git

Data governance

Time-series data

Forecasting awareness

Tools

Snowflake CLI

Databricks CLI

Databricks Asset Bundles

dbt

Job description

Our client is a leading global technology and consulting organisation delivering a major data and analytics transformation programme for a large Australian infrastructure organisation.

They are looking for an experienced Data Engineer to join a modern data environment supporting enterprise analytics, forecasting and data science capabilities.

This is an excellent opportunity to work across Snowflake, dbt and Databricks within a large-scale, complex enterprise environment.

About the Role

As a Data Engineer, you will be responsible for designing, developing and maintaining scalable data solutions supporting analytics, forecasting and broader data science workloads.

Key responsibilities will include:

• Designing and developing scalable data models using dbt
• Building complex data transformations, joins and aggregations
• Developing and optimising SQL solutions within Snowflake
• Building reliable and maintainable data pipelines
• Developing Databricks notebooks and workflows
• Using Databricks CLI and Databricks Asset Bundles to support deployments
• Preparing high-quality datasets for forecasting and advanced analytics
• Implementing testing, documentation and data-quality practices
• Supporting data governance and platform optimisation
• Working closely with data engineers, analysts and data scientists
• Applying strong software engineering, Git and CI/CD practices

The Successful Candidate

You will be an experienced Data Engineer with strong hands‑on capability across modern cloud data platforms.

Ideally, you will have:

• 5+ years’ experience in data engineering
• Strong commercial Snowflake experience
• Advanced SQL and data modelling skills
• Hands‑on experience with dbt
• Experience with Databricks, including notebooks and Workflows
• Exposure to Databricks CLI and Asset Bundles
• Strong understanding of ETL/ELT, pipeline development and data quality
• Experience with Git, CI/CD and deployment automation
• Experience supporting analytics, forecasting or data science environments
• Exposure to time-series data, forecasting concepts or statistical analysis
• Exposure to R would be advantageous
• Strong communication and stakeholder engagement skills

What’s on offer?

• Initial 8-month contract
• Perth-based opportunity
• Modern technology stack across Snowflake, dbt and Databricks
• Major enterprise data and analytics transformation programme
• Exposure to advanced analytics, forecasting and data science
• Opportunity to work within a complex enterprise technology environment