AddressAnalytics & Data Science | Sydney, Australia | Remote, Remote | Auckland, New Zealand | Full-Time
Apply for this jobWe are looking for a Data Engineer to join our UIP - Frontend Observability team.
The Frontend Observability team is part of the UI Platform organisation.
Our team’s mission is to help teams build fast experiences and make sure they stay fast. We build tools for measuring, monitoring and catching regressions in frontend performance.
UI Platform delivers libraries, infrastructure and tools that power the development of fast, scalable and familiar frontend experiences across Atlassian. We are a growing team working on many impactful projects. If you are passionate about building innovative capabilities that advance the way Atlassian develops and delivers experiences, this is where the action is.
We’re the team behind solutions like Performance Portal and Unified Frontend Observability.
That’s where you come in. We’re looking for a Data Engineer familiar with data pipelines, analysis, and modeling to help our team tackle the big problems, delivering high quality data solutions.
Launch new data capabilities to Atlassian developers through Performance Portal.
Build tooling to empower the business to launch new data capabilities faster and easier.
Collaborate with teams across Atlassian to build high quality data models for our customers.
Work alongside a team of engineers, contributing to the team culture through your passion, creativity, and experience.
Learn and grow as an engineer through various career development opportunities.
BS in Computer Science or equivalent experience with 2+ years of Data Engineering experience
Fluency in Python
SQL skills that enable advanced analysis and data modeling
Experience with data pipeline tooling and warehouses, specifically DBT, AWS data services (Redshift, Athena, EMR), and Apache projects (Spark, Flink, Hive, and Kafka)
Familiar with modern software development practices (Agile, TDD, CICD) applied to Data Engineering
General familiarity with cloud environments such as AWS, Azure or GCP
