InfoCentric is one of the largest Australian-owned specialist Data Consultancies, specialising in Cloud Data Platforms, Analytics and AI. At InfoCentric, we deliver leading solutions in Data Strategy and Advisory, Cloud Data Platforms, Artificial Intelligence, GenAI, and Business Analytics and Insights to Australia’s largest organisations.

About the role:

We are seeking a Data / Analytics Engineer to design and deliver modern data pipelines and analytics platforms. The role involves building scalable data solutions, automating workflows, and delivering high-quality datasets for reporting and analytics, while collaborating with stakeholders and teams throughout the data lifecycle.

Key responsibilities:

• Build ETL/ELT pipelines using Python & SQL
• Develop data models with dbt & dimensional modelling
• Manage data warehouses (Snowflake, PostgreSQL)
• Deliver BI-ready datasets and automate processes with Python

About you:

To be successful in this role, you’ll need:

• Experience in data engineering/analytics roles
• Strong Python and SQL for data processing
• Building and maintaining ETL/ELT pipelines and automated workflows
• Knowledge of data modelling (dimensional modelling, star schema)
• Experience with data warehouses (Snowflake, PostgreSQL)
• Working with cloud and integrating external APIs / data sources
• Delivering curated datasets for BI and analytics
• Strong problem-solving and Agile/Scrum experience

You’ll be at an advantage if you also have

• Experience working with the financial, banking, government, and retail sectors
• Relevant cloud certifications

About us:

Our team focuses on building modern data platforms, automated pipelines, and scalable analytics solutions that help organisations unlock value from their data. We work across industries, including banking, manufacturing, and enterprise technology, delivering solutions that improve reporting efficiency, operational visibility, and data-driven decision-making.

Our core values reflect what’s important to us:

Build Impactful Data Solutions

Design and deliver scalable pipelines, modern data models, and analytics platforms that enable business insights.

Continuous Learning & Innovation

Work with modern tools and frameworks, including Python, Airflow, dbt, Snowflake, and cloud data platforms.

Collaboration & Knowledge Sharing

Partner with engineers, analysts, and business stakeholders to deliver high-quality data solutions.

Think Long Term

Build reliable, maintainable, and scalable data architectures that support future growth and advanced analytics.

Applications

Due to the high volume of applications we receive, you will be contacted if you are successful. We thank you for your interest. If you are unsuccessful for this role, your details may be retained for consideration for future opportunities.