Atlassian
Data Engineer
To help unleash the potential of every team
Software engineering
Full-time
Office | Sydney, NSW, Australia
Visa sponsorship · No
Entry Level · A role for someone with underlying potential, good motivation and ability to learn. Typically no direct experience is required.
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Why Atlassian
G’day, we’re Atlassian. We make tools like Jira and Trello that are used by thousands of teams worldwide. And we’re serious about creating amazing products, practices, and open work for all teams.
About the role
Working at Atlassian Atlassians can choose where they work – whether in an office, from home, or a combination of the two. That way, Atlassians have more control over supporting their family, personal goals, and other priorities. We can hire people in any country where we have a legal entity. Interviews and onboarding are conducted virtually, a part of being a distributed-first company.
Responsibilities
You will be part of a world-class Data Engineering team, where you will:
- influence product teams
- inform Data Science and Analytics Platform teams
- partner closely with data consumers and producers to ensure quality and usefulness of data assets
You will be involved in strategizing measurement, collecting data, and generating insights. This work will help understand and improve product experience and engagement, optimize efficiency and costs, and drive strategy.
In this role, you will: Data Engineering is a multi-faceted role, where you can have focused or broad set of responsibilities, including:
- Defining metrics
- Instrumenting logging
- Acquiring/ingesting data
- Architecting & modeling data
- Transforming data
- Ensuring data quality, governance, and enablement
- Alerting, visualization, and reporting
- Developing at scale and improving efficiency
Qualifications
Minimum Qualifications / Your background:
- Bachelor’s degree (or equivalent work experience) in a STEM field and due to finish studies in 2025
- Proficiency in Python or other modern programming language development experience
- Proficiency in SQL and relational databases experience
Additional / Desirable Qualifications:
- An understanding of the SaaS business model and data structures
- Experience in Enterprise Software product development
What you'll be responsible for
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Data Pipelines
Develop and maintain processes for the extraction, flow, and transformation of data
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SQL and Databases
Use SQL to query databases to extract and process data
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Scripting and Automation
Develop scripts and automated workflows to improve the efficiency and accuracy of repeated tasks
Skills you'll need
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Collaboration
Works with others by being open, clear in communication and listening to achieve goals
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Numerical problem solving
Works with numerical information and performs mathematical calculations to solve problems
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Attention to detail
Accurately identifies and rectifies discrepancies or errors that exists in information and deliverables
Meet the team
