Azure Data Engineer

About the Role

We are looking for a highly skilled Mid to Senior Data Engineer to join our team and support a key project involving the migration of data from a legacy system to a Snowflake Data Warehouse. The ideal candidate has strong experience in data engineering, data warehousing, and building scalable data pipelines, along with hands-on expertise in dbt for data transformation within a modern ELT architecture.

This role will play a critical part in designing, building, and optimising enterprise data pipelines and warehouse structures, ensuring data quality and enabling scalable and efficient data integration across our platforms.

Key Responsibilities

• Design and implement scalable data pipelines and data warehouse solutions to support the migration to Snowflake.
• Develop and maintain ELT pipelines using Azure Data Factory and dbt to transform and load data into the Snowflake data warehouse.
• Build and manage dbt transformations and models to support structured, maintainable warehouse layers.
• Implement data warehouse best practices, including schema design, data partitioning, and performance optimisation in Snowflake.
• Work closely with engineering and business stakeholders to understand data requirements and deliver reliable data solutions.
• Ensure data quality, reliability, and integrity through validation, testing, and monitoring frameworks.
• Optimise Snowflake workloads, including query performance, storage management, and cost efficiency.
• Troubleshoot and resolve pipeline failures, performance bottlenecks, and data inconsistencies.
• Contribute to improving data platform architecture, pipeline standards, and engineering practices.

Required Qualifications

• 5+ years of experience in Data Engineering or Data Warehousing.
• Strong hands-on experience with Snowflake (data warehousing, performance optimisation, SQL, tasks, streams, etc.).
• Hands-on experience with dbt for building and maintaining ELT data transformation pipelines.
• Strong experience with Azure services, including Azure Data Factory, Azure Data Lake, and related components.
• Strong SQL skills and experience working with large-scale datasets.
• Solid understanding of data warehousing concepts (dimensional modeling, star/snowflake schemas, data layers).
• Experience designing and operating production-grade data pipelines and data platforms.
• Familiarity with CI/CD practices for data pipelines and data platforms.
• Experience with Salesforce APIs or related integration tools is a plus.
• Excellent problem-solving and communication skills.

About Us

At InfoCentric, our employees are the heart of our business. We have had many employees start their careers with us and grow into positions of responsibility. We are at the forefront of Data Platforms, Analytics and AI driving innovation and delivering smart solutions for our clients.

Our Core Values Reflect What's Important To Us

Realise Opportunity

• We’ll cover the cost of your training and certifications in the latest tools and technologies, including AWS, Azure, Snowflake, and AI
• You'll work with industry leaders and gain experience in complex Data Platforms and AI projects from the start.
• You'll gain mentorship and collaboration from industry leaders

Thrive Together & Embrace Diversity

• Receive genuine recognition for work and valued behaviour.
• Regular social events to connect. Previous events include private cinema screenings, bubble soccer, minigolf, bowling, and social drinks.
• Be part of embracing and celebrating team diversity
• Work alongside and collaborate with experienced technical professionals in Data Platforms, AI and GenAI

Think Big Picture

• Work flexibly to balance family, life, and career
• Create impact and positive change for the team and business
• Drive process improvement

To find out more, check out our LinkedIn Life Page or www.infocentric.com.au.

Applications

Due to the high volume of applications, we receive, you will be contacted if you are successful. We thank you for your interest in InfoCentric and working with us. If you're unsuccessful for this role we will keep your details and reach out to you with any suitable roles in the future.