Analytics Engineer - Snowflake/ DBT

Konnexus; City of Melbourne; On-site; AUD 90,000 - 150,000; Full time

Job summary

Konnexus in Melbourne is seeking an Analytics Engineer to join a growing data team. This hands‑on role focuses on Snowflake and dbt Cloud, building analytics-ready datasets and modelling, with exposure to Power BI.

You’ll contribute to CI/CD practices, collaborate with analysts and business teams, and help drive data quality and scalable data solutions across the organisation.

Qualifications

• Strong experience with Snowflake and dbt Cloud.
• Advanced SQL with data modelling background.
• Experience building analytics-ready datasets and dimensional models.
• Familiar with modern analytics engineering practices.
• Experience with Git, Azure DevOps and automated deployment.
• Exposure to Power BI and the broader reporting layer.
• Focus on data quality, performance and maintainability.
• Able to work with technical and business stakeholders.

Responsibilities

• Develop and enhance transformation layers across dbt Cloud and Snowflake.
• Create scalable data models to support analytics, reporting and business use cases.
• Review existing data solutions and improve performance, reliability and cost efficiency.
• Work across the Power BI environment, including semantic modelling and DAX.
• Improve development and deployment practices through Azure DevOps, Git and CI/CD.
• Investigate data issues and resolve problems across complex datasets.
• Ensure data quality and testing are embedded throughout the lifecycle.
• Partner with analysts and business teams to translate requirements into data solutions.
• Support good engineering practices through code reviews, documentation and knowledge sharing.

Skills

Data modelling

SQL

Stakeholder communication

Tools

Snowflake

dbt Cloud

Power BI

Azure DevOps

Git

CI/CD

Job description

We're currently recruiting for an Analytics Engineer to join a growing data team in Melbourne.

This is a hands-on role with a strong focus on Snowflake and dbt Cloud, working across data transformation, modelling and the broader analytics environment. You’ll also have exposure to Power BI and play an important role in improving CI/CD and development practices across the team.

Key responsibilities:

• Developing and enhancing transformation layers across dbt Cloud and Snowflake
• Creating scalable data models that support analytics, reporting and wider business use cases
• Reviewing existing data solutions and improving performance, reliability and cost efficiency
• Working across the Power BI environment, with exposure to semantic modelling, DAX and Power Query
• Improving development and deployment practices through Azure DevOps, Git and CI/CD
• Investigating data issues and resolving problems across complex datasets
• Ensuring data quality and testing are embedded throughout the development lifecycle
• Partnering with analysts and business teams to understand requirements and turn them into practical data solutions
• Supporting good engineering practices through code reviews, documentation and knowledge sharing

What we’re looking for:

• Strong experience working across Snowflake and dbt Cloud
• Advanced SQL skills with a strong background in data modelling
• Experience building analytics-ready datasets and dimensional models
• Good understanding of modern analytics engineering principles and development practices
• Experience working with Git, Azure DevOps and automated deployment processes
• Exposure to Power BI and the broader reporting layer
• A strong focus on data quality, performance and maintainability
• Comfortable working with both technical teams and business stakeholders