Senior Snowflake Data Engineer - Remote & Flexible Hours

Intelligen Group

City of Melbourne

Hybrid

AUD 120,000 - 150,000

Full time

14 days+
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Benefits offered by this job

Work From Home - Flexible hours
Training & Development
Free Food & Snacks in the office
Multiple socials and community groups
Opportunity to drive projects

Job summary

Intelligen is expanding its Melbourne consulting team with experienced dbt / Snowflake data engineers to re-engineer and optimise data models and pipelines.

You’ll work closely with architects, senior consultants, and client-side stakeholders in fast-moving, delivery-focused environments. The role emphasises hands-on execution, collaboration, and contribution to lasting data solutions for enterprise clients.

Qualifications

  • Strong, practical Snowflake engineering experience.
  • 4-6+ years’ experience in data engineering.
  • Hands-on ETL expertise with SQL-based transformations.
  • Experience with data modelling and modern data stack tooling is a plus.
  • Experience collaborating with client data teams in consulting settings.
  • Experience working to documentation standards and delivering in a structured engagement.
  • Eligible to work in Australia.

Responsibilities

  • Solid Snowflake experience, including schema design, performance tuning, and warehousing best practices.
  • Contribute to solution design, technical decisions, and modelling best practices.
  • Work with client data teams to ensure maintainability, performance, and lineage clarity.
  • Support CI/CD, testing, and documentation of all data engineering aspects.
  • Collaborate with the Intelligen consulting practice as part of a multi-resource delivery team.
  • Contribute to ongoing engagements beyond the initial project.

Skills

Snowflake engineering
ETL development
SQL transformations
Data modelling
Client collaboration
Documentation

Tools

CI/CD

Job description

Intelligen is expanding its Melbourne consulting team with experienced dbt / Snowflake data engineers to re-engineer and optimise data models and pipelines.

You’ll work closely with architects, senior consultants, and client-side stakeholders in fast-moving, delivery-focused environments. The role emphasises hands-on execution, collaboration, and contribution to lasting data solutions for enterprise clients.

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