Job description

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. Atlassian is looking for a Data Engineer to join our Data Engineering team and build world-class data solutions and applications that power crucial decisions throughout the organization. We are looking for an open-minded, structured thinker who is passionate about building systems at scale. You will enable world-class data engineering practices, drive the approach with which we use data, develop backend systems and data models to serve the analytical needs and play an active role in building Atlassian’s data-driven culture. Data is a BIG deal at Atlassian. We ingest billions of 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, and 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 apply your technical expertise to build analytical data models that support 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. • BS/BA in Computer Science, Engineering, Information Management, or other technical fields and 4+ years of data engineering experience • Strong programming skills using Python or Java. • Working knowledge of relational databases and query authoring via 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. • Understanding of Data Engineering tools/frameworks and standards to improve the productivity and quality of output for Data Engineers across the team. • Strong ability to partner directly with cross-functional stakeholders (Product, Analytics, Finance, Operations) to translate complex business questions into data-driven insights. • Experience with reporting tools like Databricks and Tableau with a keen eye for visual clarity, data storytelling, and user experience. Benefits & Perks Atlassian offers a wide range of perks and benefits designed to support you, your family and to help you engage with your local community. Our offerings include health and wellbeing resources, paid volunteer days, and so much more. To learn more, visit go.atlassian.com/perksandbenefits . 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 . In line with local law, identity verification (which may include use of biometric data) is a condition of employment with Atlassian for employment fraud purposes. At Atlassian, we strive to design equitable, explainable, and competitive compensation programs. We follow consistent hiring practices and account for each candidate's skills, knowledge, and experience when setting base pay within the range. Please visit go.atlassian.com/payzones for more information on which locations are included in each of our geographic pay zones. However, please confirm the zone for your specific location with your recruiter. This role may also be eligible for benefits, bonuses, commissions, and equity.

Requirements

Must-haves

Working at Atlassian
BS/BA in Computer Science, Engineering, Information Management, or other technical fields and 4+ years of data engineering experience
Strong programming skills using Python or Java.
Working knowledge of relational databases and query authoring via 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.
Understanding of Data Engineering tools/frameworks and standards to improve the productivity and quality of output for Data Engineers across the team.
Strong ability to partner directly with cross-functional stakeholders (Product, Analytics, Finance, Operations) to translate complex business questions into data-driven insights.
Experience with reporting tools like Databricks and Tableau with a keen eye for visual clarity, data storytelling, and user experience.

Nice-to-haves

None flagged.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

pythonjavasqlgo

Platform: atlassian
Effort: medium