Time since we first saw it
Day 37
Similar jobs usually come down between day 6 and day 54.
At Atlassian, jobs usually come down by about day 25.
From 11,436 similar postings that came down, and 26 of Atlassian’s. Coming down is not always a hire.
Work setup in the employer’s posting: TELECOMMUTEFrom the employer’s posting
Design, develop and own delivery of big data and software solutions
Review code and set coding standards and best practices for the team
Drive improvements in security, reliability, availability and performance
Collaborate with senior engineers and architects to design and ship features
Use data to guide decisions and propose technical solutions to ambiguity
Design, develop and own delivery of high quality big data and software solutions
Contribute to uplifting and maintaining high code quality through peer code reviews, defining and establishing coding standards/guidelines/best practices in the team.
Establish and drive improvements to operational excellence - security, reliability, availability, performance, procedures and processes etc.
Collaborate with cross-functional teams, senior engineers and architects across multiple disciplines to spar, design, and ship new features.
Use data driven approach to drive decisions and propose technical solutions to navigate ambiguity and change
- 5+ years of experience in Data/Software Engineering role with relevant exposure to the Big data ecosystems - Bachelor's or Master's degree (preferably a Computer Science degree or equivalent experience). - Expertise in handling complex problems in a distributed and big data environment.
From the employer’s posting.
At Atlassian, we're motivated by a common goal: to unleash the potential of every team.
In the employer’s words · Read in context
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
Day 37
Similar jobs usually come down between day 6 and day 54.
At Atlassian, jobs usually come down by about day 25.
From 11,436 similar postings that came down, and 26 of Atlassian’s. Coming down is not always a hire.
48 open jobs
Open jobs by the week we first saw them, last 12 weeks.
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- Expertise in handling complex problems in a distributed and big data environment. - Experience building applications in one or more languages (Kotlin, Scala, Java, Python) - Strong knowledge of AWS or GCP services
- Experience building applications in one or more languages (Kotlin, Scala, Java, Python) - Strong knowledge of AWS or GCP services - Experience in building services from the ground up – from gathering requirements, designing, building, deploying, and ownership
- Familiarity with cloud architecture patterns and an engineering discipline to produce software with quality, performance, scalability, reliability, high availability, and operational excellence - Experience with any of the big data processing frameworks and technologies - Spark, Flink, StarRocks, Databricks, DBT, Airflow, etc. Qualifications
Complete your application on careers-apac-atlassian.icims.com. The employer’s form will show what is required.
Already applied? Track this application
New Data Engineer postings at the employers we follow are up 8% over the last 5 weeks compared with the 5 before.
Each bar is one week of new postings. The darkest bars are the last 5 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
We file this job under Data Engineer, by the work the posting describes.
Data engineers build and run the pipelines that copy data out of apps and outside services into a warehouse or lake, and fix them when a source changes or a load fails.
Expect SQL, Python, a cloud platform, a scheduler such as Airflow, and often tools for large data such as Spark or Kafka.
An analytics engineer works one step later, turning the raw data a data engineer lands into clean tables people can query.
The government has no code for data engineers, so these figures are for the closest group, database architects, which includes data integration and data warehousing specialists.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.
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.
We are hiring a Data Platform Engineer to report to the Engineering Manager for the Internal Data Platform team. This role suits candidates with experience building data platforms at scale and a passion for solving complex analytical problems with modern technologies.
The successful candidate will have experience with big data systems and will design and develop high-quality software services. As part of our team, you will help develop and maintain solutions for Atlassian's data platform, focusing on reliability, scalability and performance.
This role presents a unique opportunity to thrive in a fast-paced, challenging, and innovative environment that demands strong problem-solving skills. You will have the chance to create and implement cutting-edge solutions tailored to our business needs.
In this position, you will collaborate with a diverse team of engineers, including backend specialists and core data engineers, who are dedicated to managing Atlassian's customer-facing data platform.
Design, develop and own delivery of high quality big data and software solutions aiming to solve business needs.
Collaborate with cross-functional teams, senior engineers and architects across multiple disciplines to spar, design, and ship new features.
Contribute to uplifting and maintaining high code quality through peer code reviews, defining and establishing coding standards/guidelines/best practices in the team.
Establish and drive improvements to operational excellence - security, reliability, availability, performance, procedures and processes etc.
Use data driven approach to drive decisions and propose technical solutions to navigate ambiguity and change, learn and adapt to changing landscape.
5+ years of experience in Data/Software Engineering role with relevant exposure to the Big data ecosystems
Bachelor's or Master's degree (preferably a Computer Science degree or equivalent experience).
Expertise in handling complex problems in a distributed and big data environment.
Experience building applications in one or more languages (Kotlin, Scala, Java, Python)
Strong knowledge of AWS or GCP services
Experience in building services from the ground up – from gathering requirements, designing, building, deploying, and ownership
Familiarity with cloud architecture patterns and an engineering discipline to produce software with quality, performance, scalability, reliability, high availability, and operational excellence
Experience with any of the big data processing frameworks and technologies - Spark, Flink, StarRocks, Databricks, DBT, Airflow, etc.
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.
This role may also be eligible for benefits, bonuses, commissions, and equity.
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.
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No pay amount identified in the saved description.
Sydney
Working pattern and location restrictions need checking in the full posting.
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