Software is changing the world, and we're at the center of it all. With more than 100,000 global customers (including 85 of the Fortune 100) and a highly disruptive business model, we're advancing the art of team collaboration with products like JIRA, Confluence, Trello and Strideand we're just getting started. Driven by honest values, an amazing culture, and consistent revenue growth, we're out to unleash the potential of every team. From Amsterdam and Austin to Sydney and San Francisco, we're looking for people who are powered by passion and eager to do the best work of their lives in a highly autonomous yet collaborative, no B.S. environment.
Atlassian is looking for a Senior Data Engineer to join our Data Engineering team and build world-class data solutions and applications that powers crucial business decisions throughout the organization. We are looking for an open minded, structured thinker who is passionate about building systems at scale. You'll be the genius who understands data at Atlassian, knows where to find it, and manages the process to make that data useful for Analytics. You love thinking about the ways the business can consume this data and then figuring out how to build it.
On a typical day you may be consulted on the information architecture of our website, and help design the event collection infrastructure. Then you will move on to building the data models and ETL processes to provide this data for business use. You've got industry experience working with large datasets. You are interested in reporting platforms and data visualization. As the data domain expert, you will be partnering with our technology teams, analytical teams, and data scientists across various initiatives.
You'll own a problem end-to-end, so those skills will come in handy not just to collect, extract, and clean the data, but also to understand the systems that generated it, and automate your analyses and reporting. On an on-going basis, you'll be responsible for improving the data by adding new sources, coding business rules, and producing new metrics that support the business. Requirements will be vague. Iterations will be rapid. You will need to be nimble and take smart risks.
MORE ABOUT YOU
As a data engineer, you will have the opportunity to apply your strong technical experience on building analytics data models that supports a broad range of analytical requirements across the company. You will work with other teams to continually evolve solutions as business processes and the requirements change. 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.
On your first day, we'll expect you to have:
5-10 years professional experience as a data engineer or in a similar role
Strong programming skills (some combination of Python, Java, and Scala preferred)
Experienced in data warehouse modeling
Experience building data pipelines using Spark and/or Hive
Experience writing SQL
Experience working with DynamoDb or other No-SQL databases
Experience working with realtime streaming applications
Working knowledge of how personalization platforms work
A willingness to accept failure, learn and try again
An open mind to try solutions that may seem crazy at first
It's great, but not required, if you have:
Experience working on Amazon Web Services (in particular using EMR, Kinesis, RDS and the like)
Experienced in building analytical model in big data platform
Experienced in Tableau or other visualization tools
Experience developing micro-services
You've used version control systems like Git and Subversion
You strive for continuous integration best practices
An MS in Computer Science or equivalent experience
Above all else, as a senior data engineer you will be leading the development process, driving architectural decisions, and incorporating business and technology strategy. You will be earning the trust of other developers in the team and then coaching and influencing them into the right behaviors to build the ultimate analytical data model and pipelines.
MORE ABOUT THE TEAM
The data engineering team is responsible for running multiple analytical data models and data pipelines all across Atlassian, including finance, growth, product analysis, customer support, sales, marketing, etc - so there are endless opportunities for growth. We maintain Atlassian's data lake and build creative and reliable analytics data model that provides a unified way of analyzing our customers, our products, our operations and the interactions among them.
You'll be joining a team that is smart and very direct. We ask hard questions and challenge each other to constantly improve our work. We are self-driven but team oriented. We're all about enabling growth by delivering the right data and insights in the right way to partners across the company.
More about our benefits
Our offices are open, 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 to support your favorite cause, plenty of food and beverages, ergonomic workstations with sit/stand desks, unique ShipIt days, a company paid trip after five years, generous employer-paid insurance coverage (medical, dental, and vision) for you and your family, 401k matching and more.
More about Atlassian
Software is changing the world, and we're at the center of it all. With a customer list that reads like a who's who in tech, and a highly disruptive business model, we're advancing the art of team collaboration with products like Jira Software, Confluence, Bitbucket, and Trello. Driven by honest values, an amazing culture, and consistent revenue growth, we're out to unleash the potential of every team. From Amsterdam and Austin to Sydney and San Francisco, we're looking for people who are powered by passion and eager to do the best work of their lives in a highly autonomous yet collaborative, no B.S. environment.
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.