Working at Atlassian

Atlassian can hire people in any country where we have a legal entity. Assuming you have eligible working rights and a sufficient time zone overlap with your team, you can choose to work remotely or from an office (unless it’s necessary for your role to be performed in the office). Interviews and onboarding are conducted virtually, a part of being a distributed-first company.

With a sufficient timezone overlap with the team, we're able to hire eligible candidates for this role from any location in Australia and New Zealand.

Your future team

In this role as a Data Engineer, reporting into the Engineering Manager - FinOps, you'll be an important part of our cost efficiency strategy across Atlassian. As a member of our Industry-leading Cloud FinOps team, part of our Engineering Excellence department, you'll own the data model and pipelines related to our infrastructure spend.

It's your job to ensure our cost data is available, complete, accurate, and able to be trusted by teams to make high quality data driven decisions.

What you'll do

• Contribute to our data model for Atlassian costs.
• Build and run our data pipelines to ingest our vendor costs with a focus on solid engineering principals.
• Ensure our data is of high quality and well understood.
• Work with large datasets.
• Partner with analysts to ensure our data meets downstream requirements.
• Work as part of a fast-growing, multi-disciplinary, high impact, industry recognised FinOps team.
• Get exposure, impact and visibility across Atlassian engineering teams and senior execs.

Your background

• 2+ years of technical experience as a data or software engineer.
• 1+ years experience with AWS.
• Demonstrative ability to build data pipelines with solid software engineering principals in mind.
• Strong SQL and Python skills.

It's great but not required if you have

• A background in FinOps or Finance.
• Experience working with Databricks