Join Centorrino Technologies: Innovate, Grow, and Thrive with Us!
At Centorrino Technologies (CT), we’re more than just tech—we’re a community that goes beyond expectations. We’ve been recognised as a Great Place to Work in 2024-2025 and one of the Best Places to Work Medium & Large Size in Australia for 2025, with an outstanding eNPS score of 68. And we’re not stopping there. We're on a mission to redefine the customer experience, and we need a passionate Data Engineer to join our Data team in Melbourne.
The Database Analyst is responsible for the maintenance, performance, integrity, and security of enterprise databases used across education environments. This includes supporting education-specific platforms (e.g., TASS, Synergetic, Schoolbox, Edval, Canvas) You will ensure the availability of data to end users while implementing policies and procedures for database governance, optimisation, and disaster recovery.
This role involves working closely with internal teams, clients, and vendors to provide database support, ensure system integrations, and drive performance improvements in line with best practices and regulatory requirements (e.g., privacy and data sovereignty standards).
Requirements
What you'll do:
What you'll bring:
Benefits
Why You'll Love Working Here:
Our company is more than just a workplace, it's a hub of inspiration and creativity where employees love to work! Here's why:
CT celebrates diversity and enables every voice to be heard as we drive to create the world we want. Apply today and be part of a team that values innovation, inclusivity, variety and diverse backgrounds.
Note: A valid Vulnerable People / Working with Children Check (WWCC) and Police Check are required.
Here at Centorrino Technologies, or CT as we like to call ourselves, we put a lot of effort into delivering the best customer experience of any managed ICT provider in Australia.
Please mention you found this job on AI Jobs. It helps us get more startups to hire on our site. Thanks and good luck!
Understand the required skills and qualifications, anticipate the questions you may be asked, and study well-prepared answers using our sample responses.
Data Analyst Q&A's