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Senior Data Engineer (Snowflake and DBT)

InfoCentricMelbourne, Victoria🇦🇺AustraliaPosted 24 May 2026

Quick Overview

Work Type
Hybrid
Schedule
Full Time
Level
Mid Senior

Job Description

InfoCentric is one of the largest Australian-owned specialist Data Consultancies, specialising in Cloud Data Platforms, Analytics and AI. At InfoCentric, we are driven by reliability, care for our people and pride in delivering exceptional data solutions across Strategy, Platform, AI and Managed Services to Australia's largest organisations.

About the Role

As a Senior Data Engineer, you will play a key role in designing, building and optimising our data platform. You'll work with large, complex data sets and be responsible for developing robust data pipelines and scalable data warehouse solutions. This is a hands on role suited to someone who enjoys both architecture and implementation.

Key Responsibilities
  • Design and build scalable data pipelines to support analytics and reporting
  • Develop and maintain data warehouse solutions, primarily using Snowflake
  • Implement data transformation workflows using dbt
  • Work with large and complex data sets, ensuring data quality and integrity
  • Collaborate with analysts, data scientists and stakeholders to understand data requirements
  • Optimise performance and cost efficiency of data processes
  • Contribute to best practices in data engineering and platform architecture
About You
  • 8+ proven years of experience as a Senior Data Engineer or similar role
  • Strong expertise in data engineering and data warehousing concepts
  • Hands on experience with Snowflake and dbt
  • Experience working with large-scale data sets
  • Proficiency in SQL and modern data pipeline tools
  • Strong problem solving skills and attention to detail
  • Ability to work collaboratively in a cross functional team
You'll be at an advantage if you also have
  • Experience working in the banking and retail space
  • Experience working on two or more cloud (e.g. AWS, Azure)

Skills

SQL
AWS
Snowflake
Azure
Data Pipeline
dbt

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