Principal Data Engineer

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. Interviews and onboarding are conducted virtually, a part of being a distributed-first company.

Our 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 Atlassians data lake that provide a unified way of analysing our customers, our products, our operations, and the interactions among them.

Were hiring a Data Engineer, reporting to the Data Engineering Manager. Here, youll 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 Atlassians data-driven culture. You love thinking about the ways the business can consume data and then figuring out how to build it.

Minimum Qualifications / Your background:

• BS in Computer Science or equivalent experience with 8+ years as a Senior Data Engineer or similar role

• 10+ Years of progressive experience in building scalable datasets and reliable data engineering practices.

• Proficiency in Python, SQL, DBT, and data platforms like DataBricks

• Proficiency in relational databases and query authoring (SQL).

• Demonstrable expertise designing data models for optimal storage and retrieval to meet product and business requirements.

• Experience building and scaling experimentation practices, statistical methods, and tools in a large scale organization

• Excellence in building scalable data pipelines using Spark (SparkSQL) with Airflow scheduler/executor framework or similar scheduling tools.

• Expert 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)

Desirable Qualifications

• Experience working in a consumer or B2C space for a SaaS product provider, or the enterprise/B2B space

• Familiarity working with Core engineering datasets like Monitoring, Observability, Performance, Reliability, etc..

• Excelling in solving ambiguous and complex problems, being able to navigate through uncertain situations, breaking down complex challenges into manageable components and developing innovative solutions

Our perks & benefits

Atlassian offers a variety of perks and benefits to support you, your family and to help you engage with your local community. Our offerings include health coverage, paid volunteer days, wellness resources, and so much more. Visit