Atlassian's software powers teams in every industry to collaborate, ideate, and innovate.

Senior Data Engineer

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Employer Provided Salary: 135,600-217,700 Annually
Salary data is provided by the employer. Please note this is not a guarantee of compensation.

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 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.
At Atlassian, we strive to design equitable, explainable, and competitive compensation programs. To support this goal, the baseline of our range is higher than that of the typical market range, but in turn we expect to hire most candidates near this baseline. Base pay within the range is ultimately determined by a candidate's skills, expertise, or experience. In the United States, we have three geographic pay zones. For this role, our current base pay ranges for new hires in each zone are:
Zone A: $163,300 - $217,700
Zone B: $147,000 - $196,000
Zone C: $135,600 - $180,700
This role may also be eligible for benefits, bonuses, commissions, and equity.
Please visit 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.

  • You'll partner with the data 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.

  • BS in Computer Science or equivalent experience with 8+ years as a Senior Data Engineer or 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)
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What are Atlassian Perks + Benefits

Atlassian Benefits Overview

Our offices are open, highly collaborative and yes, fun! To support you at work (and play) we offer some fantastic perks: ample time off to relax and recharge, five paid volunteer days a year for your favorite cause, plenty of food and drinks, ergonomic workstations, employer-paid insurance coverage for you and your family, pension and more.

We're a global company and each of our office locations also has its own unique perks and benefits. Some of our benefits vary slightly by location.

Volunteer in local community
Partners with nonprofits
Open door policy
OKR operational model
Team based strategic planning
Pair programming
Open office floor plan
Flexible work schedule
Remote work program
Documented equal pay policy
Dedicated diversity and inclusion staff
Mandated unconscious bias training
Diversity manifesto
Mean gender pay gap below 10%
Diversity employee resource groups
Hiring practices that promote diversity
Health Insurance + Wellness
Flexible Spending Account (FSA)
Disability insurance
Dental insurance
Vision insurance
Health insurance
Life insurance
Wellness programs
Team workouts
Mental health benefits
Financial & Retirement
401(K) matching
Company equity
Performance bonus
Charitable contribution matching
Child Care & Parental Leave
Childcare benefits
Generous parental leave
Family medical leave
Adoption Assistance
Company sponsored family events
Vacation + Time Off
Unlimited vacation policy
Generous PTO
Paid volunteer time
Paid holidays
Paid sick days
Office Perks
Commuter benefits
Company-sponsored outings
Free daily meals
Free snacks and drinks
Some meals provided
Company-sponsored happy hours
Onsite office parking
Pet friendly
Relocation assistance
Fitness stipend
Home-office stipend for remote employees
Onsite gym
Professional Development
Job training & conferences
Tuition reimbursement
Lunch and learns
Promote from within
Mentorship program
Continuing education stipend
Continuing education available during work hours
Online course subscriptions available
Customized development tracks
Paid industry certifications

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