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Data Engineer, GTM

Atlassian can hire people in any country where we have a legal entity, assuming candidates have eligible working rights and a sufficient timezone overlap with their team. As our offices re-open, Atlassians can choose to work remotely or return to an office, unless it’s necessary for the role to be performed in the office. Interviews and onboarding are conducted virtually, a part of being a distributed-first company.

Job Description

Atlassian is looking for a Data Engineer to join our Go-To-Market Data Engineering (GTM-DE) team which is responsible for building our data lake, maintaining our big data pipelines/services, and facilitating the movement of billions of messages each day. We work directly with the business stakeholders and plenty of platform and engineering teams to enable growth and retention strategies at Atlassian. We are looking for an open-minded, structured thinker who is passionate about building services that scale.On a typical day, you will help our stakeholder teams ingest data faster into our data lake, you’ll find ways to make our data pipelines more efficient, or even come up with ideas to help instigate self-serve data engineering within the company. Then you will move on to building micro-services, architecting, designing, and enabling self-serve capabilities at scale to help Atlassian grow.You’ll get the opportunity to work on a AWS based data lake backed by the full suite of open source projects such as Presto, Spark, Airflow and Hive. We are a team with little legacy in our tech stack and as a result you’ll spend less time paying off technical debt and more time identifying ways to make our platform better and improve our users experience.

More about you

As a data engineer in the GTM-DE team, you will have the opportunity to apply your strong technical experience building highly reliable services on managing and orchestrating a multi-petabyte scale data lake. You enjoy working in a fast paced environment and you are able to take vague requirements and transform them into solid solutions. You are motivated by solving challenging problems, where creativity is as crucial as your ability to write code and test cases.

On your first day, we'll expect you to have:

  • At least 2 years professional experience as a software engineer or data engineer
  • A BS in Computer Science or equivalent experience
  • Strong programming skills (some combination of Python, Java, and Scala preferred)
  • Experience with data modeling
  • Knowledge of data warehousing concepts
  • Experience writing SQL, structuring data, and data storage practices
  • Experienced building data pipelines and micro services
  • Experience with Spark, Hive, Airflow and other streaming technologies to process incredible volumes of streaming data
  • A willingness to accept failure, learn and try againAn open mind to try solutions that may seem crazy at first
  • Experience working on Amazon Web Services (in particular using EMR, Kinesis, RDS, S3, SQS and the like)

It's preferred, but not technically required, that you have:

  • Experience building self-service tooling and platforms
  • Built and designed Kappa architecture platforms
  • A passion for building and running continuous integration pipelines
  • Built pipelines using Databricks and well versed with their API’s
  • Contributed to open source projects (Ex: Operators in Airflow)

More about the team

Data is a BIG deal at Atlassian. We ingest over 180 billion events each month into our analytics platform and we have dozens of teams across the company driving their decisions and guiding their operations based on the data and services we provide.It’s the data engineering teams job to make more Atlassian’s data-driven and facilitate growth. We do this by providing metrics and other data elements which are reliable and trustworthy, as well as services and data products to help teams better self-serve and improve their time to reliable insights.You’ll be joining a team with a brand new mission, expanding into a new office. There will be plenty of challenges and scope to grow. We work very closely with Sales, Marketing and Commerce teams. We value when people ask hard questions and challenge each other to constantly improve our work. We are independent but love highly collaborative team environments, so you'll get the opportunity to work with lots of other awesome people just like you. We're all about enabling teams to execute growth and customer retention strategies by providing the right data fabrics and tools.

More about our benefits

Whether you work in an office or a distributed team, Atlassian is highly collaborative and yes, fun! To support you at work (and play) we offer some fantastic perks: ample time off to relax and recharge, flexible working options, five paid volunteer days a year for your favourite cause, an annual allowance to support your learning & growth, unique ShipIt days, a company paid trip after five years and lots more.

More about Atlassian

Creating software that empowers everyone from small startups to the who’s who of tech is why we’re here. We build tools like Jira, Confluence, Bitbucket, and Trello to help teams across the world become more nimble, creative, and aligned—collaboration is the heart of every product we dream of at Atlassian. From Amsterdam and Austin, to Sydney and San Francisco, we’re looking for people who want to write the future and who believe that we can accomplish so much more together than apart. At Atlassian, we’re committed to an environment where everyone has the autonomy and freedom to thrive, as well as the support of like-minded colleagues who are motivated by a common goal to: Unleash the potential of every team .

Additional Information

We believe that the unique contributions of all Atlassians is the driver of our success. To make sure that our products and culture continue to incorporate everyone's perspectives and experience we never discriminate on the basis of 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.

If your experience looks a little different from what we’ve identified and you think you can rock the role, we’d love to learn more about you.

Learn more about Atlassian’s culture, interviewing flow, and hiring process by checking out our Candidate Resource Hub .





Job type



Data Engineering


AirflowAWSBig DataData pipelines
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