Data Engineer

Working at AtlassianAtlassian 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 return to an office as they reopen (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.Atlassian is looking for a Data Engineer to join our Customer Success and Support (CSS) Data Engineering team and build world-class data solutions and applications that power crucial decisions throughout the organisation. We are looking for someone who is passionate about building services that scale.Your Future TeamData 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.The data engineering team manages several data models and data pipelines across Atlassian, including finance, growth, product analysis, customer support, sales, marketing. You'll join a team that is smart and very direct. We ask hard questions and challenge each other to constantly improve our work.As a Data Engineer you will directly report to the Data Engineering Manager who manages CSS Data Engineering. You will apply your technical expertise to build analytical data models that supports a broad range of analytical requirements across the company. You will work with extended teams to evolve solutions as business processes and requirements change. You'll own problems end-to-end and on an ongoing basis, you'll improve the data by adding new sources, coding business rules, and producing new metrics that support the business.

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

• BS/BA in Computer Science, Engineering, Information Management, or other technical fields, or 3 or more years of data engineering experience
• High proficiency in SQL/Spark in a distributed computing environment to profile, cleanse, transform, and analyze data
• Experience working with varied forms of data infrastructure, including relational databases (e.g. SQL), Spark, and column stores (e.g. Redshift)
• Experience in some scripting languages (Python, Shell, Java). You can build/maintain transformation scripts for different types of data.
• Experience with data modelling and using REST APIs
• Experience with Git or other version control systems
• You're the type of person that publishes good documentation to help people use the information you provide.
• A willingness to accept failure, learn and try again

Our perks & benefitsTo support you at work and play, our perks and benefits include ample time off, an annual education budget, paid volunteer days, and so much more.About AtlassianThe world’s best teams work better together with Atlassian. From medicine and space travel, to disaster response and pizza deliveries, Atlassian software products help teams all over the planet. At Atlassian, we're motivated by a common goal: to unleash the potential of every team.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 learn more about our culture and hiring process, explore our Candidate Resource Hub.