As a Data Engineer II, you will define metrics, instrument logging, acquire data, and ensure data quality while partnering with teams to drive insights and improve product strategies.
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.
Your future team
You will be part of a world-class Data Engineering team, where you will:
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:
Minimum Qualifications / Your background:
Additional / Desirable Qualifications:
Our perks & benefits
Atlassian offers a variety of perks and benefits to support you, your family and to help you engage with your local community. Our offerings include health coverage, paid volunteer days, wellness resources, and so much more. Visit go.atlassian.com/perksandbenefits to learn more.
About Atlassian
At Atlassian, we're motivated by a common goal: to unleash the potential of every team. Our software products help teams all over the planet and our solutions are designed for all types of work. Team collaboration through our tools makes what may be impossible alone, possible together.
We believe that the unique contributions of all Atlassians create our success. To ensure that our products and culture continue to incorporate everyone's perspectives and experience, we never discriminate based on race, religion, national origin, gender identity or expression, sexual orientation, age, or marital, veteran, or disability status. All your information will be kept confidential according to EEO guidelines.
To provide you the best experience, we can support with accommodations or adjustments at any stage of the recruitment process. Simply inform our Recruitment team during your conversation with them.
To learn more about our culture and hiring process, visit go.atlassian.com/crh .
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.
Your future team
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
- Working autonomously and adding perspective to the team
Minimum Qualifications / Your background:
- Bachelor's / Masters degree (or equivalent work experience) in a STEM field
- 2+ Years of Experience in Data Engineering or related fields
- Expertise in Python or other modern programming language development experience
- Knowledge of advanced level capabilities in SQL and relational databases experience
- Solid working knowledge of ETL (ELT), Data modeling, DataQuality, and Data Visualization/Dashboarding
- Experience working with product analytics
Additional / Desirable Qualifications:
- 4+ Years of Experience in Data Engineering or related fields OR 2+ Years of experience in Data Engineering along with a post-graduate degree or equivalent in a related field
- An understanding of the SaaS business model and data structures
- Experience in Enterprise Software product development
Our perks & benefits
Atlassian offers a variety of perks and benefits to support you, your family and to help you engage with your local community. Our offerings include health coverage, paid volunteer days, wellness resources, and so much more. Visit go.atlassian.com/perksandbenefits to learn more.
About Atlassian
At Atlassian, we're motivated by a common goal: to unleash the potential of every team. Our software products help teams all over the planet and our solutions are designed for all types of work. Team collaboration through our tools makes what may be impossible alone, possible together.
We believe that the unique contributions of all Atlassians create our success. To ensure that our products and culture continue to incorporate everyone's perspectives and experience, we never discriminate based on race, religion, national origin, gender identity or expression, sexual orientation, age, or marital, veteran, or disability status. All your information will be kept confidential according to EEO guidelines.
To provide you the best experience, we can support with accommodations or adjustments at any stage of the recruitment process. Simply inform our Recruitment team during your conversation with them.
To learn more about our culture and hiring process, visit go.atlassian.com/crh .
Top Skills
Data Modeling
Data Quality
Data Visualization
ETL
Python
SQL
Atlassian Australia Office
Atlassian Australia Office
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