About Megaport
We’re not your typical tech company – and we don’t want to be. Megaport is the global leader in Network as a Service (NaaS), and has transformed the way businesses connect to the cloud, data centers, and each other. We’re publicly listed on the Australian Stock Exchange and partnered with the biggest names in tech like Amazon, Microsoft, Google, Oracle, IBM, and more. Headquartered in Brisbane with a crew of over 400 people spread across Asia-Pacific, Europe, and the Americas, our employees enjoy an environment that is collaborative, supportive, and (actually) fun.
Our Team Culture
We’re a team of problem solvers, pixel pushers, code slingers, and cloud fanatics. Culture is more than a poster on the wall here – collaboration beats hierarchy, curiosity fuels our growth, and everyone’s voice matters. We take our work seriously, but not ourselves. We work across time zones to execute on our global vision, trust each other to get things done, and never compromise our values for commercial gain. Most importantly, we place our customers at the center of everything we do.
We’re committed to increasing representation in the tech industry and welcome applicants from all backgrounds. Don’t meet every requirement? That’s okay. If you’re excited about this role, we encourage you to apply.
The Role
Reporting to the Head of Data & Analytics, the DataOps Engineer is responsible for
designing, implementing, and maintaining the Megaport Data Warehouse.
The DataOps Engineer is also responsible for working with key stakeholders within the
business as it relates to Data Asset integration, technical design, and management of the
underlying data warehouse to facilitate reporting, BI and Data Science activities.
The position will play a key role in driving operational excellence, focusing on security
and reliability and ease of access to all underlying data assets, as well as responsibility
for maintaining the availability and reliability of the data warehouse.
The DataOps Engineer will work closely across departments to continue the
development of the Data Warehouse, ensuring that the underlying architecture scales
with the business’ growth and evolving requirements, as well as managing the day-to-
day operational aspects critical to this high availability system.