Senior Data Engineer

Working at Atlassian
Atlassian 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.
To help our teams work together effectively, this role requires you to be located in the Australia Eastern timezone.Your future teamOur Data Engineering Team is comprised of data experts. We build world-class data solutions and applications that power crucial business decisions throughout the organisation. We manage multiple analytical data models and pipelines across Atlassian, covering finance, growth, product analysis, customer analysis, sales and marketing, and so on. We maintain Atlassian's data lake that provide a unified way of analysing our customers, our products, our operations, and the interactions among them.We're hiring a Senior Data Engineer, reporting to the Data Engineering Manager based in Sydney. Here, you'll enable a world-class engineering practice, drive the approach with which we use data, develop backend systems and data models to serve the needs of insights, and help build Atlassian's data-driven culture. You love thinking about the ways the business can consume data and then figuring out how to build it.

What you'll do

• You'll partner with the product analytics and data scientist team to build the data solutions that allow them to obtain more insights from our data and use that to support important business decisions.
• You'll work with different stakeholders to understand their needs and architect/build the data models, data acquisition/ingestion processes and data applications to address those requirements.
• You'll add new sources, code business rules, and produce new metrics that support the product analysts and data scientist.
• You'll be the data domain expert who understand all the nitty-gritty of our products.
• You'll own a problem end-to-end. Requirements could be vague, and iterations will be rapid
• You'll improve data quality by using & improving internal tools/frameworks to automatically detect DQ issues.

Your background

• A BS in Computer Science or equivalent experience with 5+ years professional experience as a Sr. Data Engineer or in a similar role.
• Strong programming skills using Python
• Working knowledge of relational databases and query authoring (SQL).
• Experience designing data models for optimal storage and retrieval to meet product and business requirements.
• Experience building scalable data pipelines using Spark (SparkSQL) with Airflow scheduler/executor framework or similar scheduling tools.
• Experience working with AWS data services or similar Apache projects (Spark, Flink, Hive, and Kafka).
• Understanding of Data Engineering tools/frameworks and standards to improve the productivity and quality of output for Data Engineers across the team.
• Well versed in modern software development practices (Agile, TDD, CICD)

Our perks & benefits
To 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 Atlassian
The 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.