Software Developer - Data Engineer

About the Role

Employment type: Full time
Location: Melbourne, Australia
Company: InfoCentric

$100,000 - $140,000 including superannuation.

At InfoCentric, we aren’t driven by hype. Quality, accountability and honesty do not need to be flashy, they quietly outperform. When paired with a genuine commitment to a healthy, supportive team, they create something powerful. Our people work with integrity, we deliver data expertise as promised, and we show up for each other in all scenarios.

Responsibilities

• Built ETL packages for large data pipelines, using Python
• Build packages and scripts for transformations within Data Warehouses, using Python, Snowflake and either ADF or DBT
• Create and provision Cloud environments like Azure or AWS to ensure security, role-based user access and Data Masking for sensitive data
• Develop unit test scripts for all the new and existing features using Python and SQL, to deliver reliable and robust IT products to the users.
• Create documentation of your code using tools including Confluence and GitHub, to create an end-user document and technical document for the users.
• Perform requirement and risk analysis, which include activities like consulting with stakeholders, gathering business requirements and creating risk reports for the IT projects.
• Automate IT processes by using Automation and Orchestration tools including Control‑M, GIT and Ansible, for continuous integration, testing and deployment of programming code to deliver an IT product effectively.
• Performing system support activities like auditing systems, planning for upgrades and communicating impacted users to ensure systems are in good health.

Qualifications

• At least 5 years experience working in Data Engineering roles
• Excellent communications and client-facing consulting skills
• Exposure in building Cloud based systems on Azure or AWS.
• Strong development and scripting experience with Python and SQL
• Exposure in building systems with event streaming, service bus or message queues (Azure Event Hubs/Service Bus, Kafka, RabbitMQ or similar)
• Understanding code testability, experience in build pipelines and DevOps (CI/CD systems, Infrastructure as Code)

Values

Act with integrity — we do what we say we will do

Thrive together — we believe strong teams produce strong outcomes

Grow expertise — we invest deeply in data and AI capability

Build Trusted Partnerships — we are grounded in trust and shared purpose

Think big picture — we maximise positive impact, beyond projects

Embrace diversity — we create space for people to be themselves

These values reflect who we are and how we work. We are proud to be a diverse team where knowledge flows freely, allowing us to do our best.