Senior Data Engineer – Snowflake, Databricks & Forecasting

Zone IT Solutions; Western Australia; On-site; AUD 120,000 - 160,000; Full time

Job summary

Zone IT Solutions Pty Ltd in Western Australia is seeking a seasoned Business Analyst with strong data platform, analytics, and digital-product experience to shape business outcomes and translate them into actionable requirements.

You will own data engineering tasks—designing data models with dbt, building robust Snowflake pipelines, and enabling forecasting workloads in collaboration with data scientists and analysts.

Qualifications

• 5+ years of data engineering experience.
• Bachelor's degree in Computer Science, Engineering, Statistics, Data Science, or related field.
• Strong problem-solving and analytical thinking.
• Ability to work with complex business and data requirements.
• Clear communication and stakeholder engagement skills.
• Ownership mindset and attention to detail.

Responsibilities

• Design, develop, and maintain scalable data models using dbt.
• Build high-quality datasets through complex transformations, joins, and aggregations.
• Apply testing, documentation, and data quality practices to analytical assets.
• Develop and optimise SQL-based solutions within Snowflake.
• Design performant, maintainable transformation pipelines.
• Support data governance and efficient use of platform resources.
• Develop and maintain Databricks notebooks and workflow pipelines.
• Support automated forecasting using Databricks Workflows.
• Prepare datasets to support forecasting and analytics workloads.
• Collaborate with data scientists, analysts, and engineers.

Skills

5+ years data engineering

Strong problem solving

Clear communication

Ownership mindset

Stakeholder engagement

Education

Bachelor's degree in Computer Science or related

Tools

Snowflake

Databricks

Python

R

dbt

SQL

Job description

Zone IT Solutions Pty Ltd in Western Australia is seeking a seasoned Business Analyst with strong data platform, analytics, and digital-product experience to shape business outcomes and translate them into actionable requirements.

You will own data engineering tasks—designing data models with dbt, building robust Snowflake pipelines, and enabling forecasting workloads in collaboration with data scientists and analysts.