Data Engineer - Team Insights

Sydney, Australia

Applications have closed

Atlassian

Atlassian's team collaboration software like Jira, Confluence and Trello help teams organize, discuss, and complete shared work.

View company page

Working at Atlassian
Atlassian can hire people in any country where we have a legal entity. Assuming you have eligible working rights and a sufficient time zone overlap with your team, you can choose to work remotely or return to an office as they reopen (unless it’s necessary for your role to be performed in the office). Interviews and onboarding are conducted virtually, a part of being a distributed-first company.
With a sufficient timezone overlap with the team, we’re able to hire eligible candidates for this role from any location in Australia and New Zealand. If this sparks your interest, apply today and chat with our friendly Recruitment team further.
Atlassian is looking for a Data Engineer to help found a new and exciting team within Atlassian. As part of the Insights Data team within Team Insights, you’ll be responsible for the data pipelines and models that underpin the signals we send to our engineering teams and leadership across Atlassian on their engineering and operational health.
You’ll play a pivotal role in working with domain experts in ensuring the data we use is both standardised and trustworthy. By building frameworks and supporting tooling for data ingestion from a complex variety of sources, you’ll make it easy for us to bring new metrics and insights to teams quickly and be able to highlight source systems any data quality issues in the pipeline.
On an ongoing basis, you’ll be modelling our data for increased visibility and performance, building pipelines and tooling and working with both teams that produce and consume data to create the glue that translates the noise into meaningful signals for engineers and leaders to make the right decisions.

On your first day, we’ll expect you to have

  • Demonstrated experience as a data engineer, BI developer or similar role
  • Excellent experience with SQL, Data Modelling and Data Governance principles
  • Experience working with big data and complex data sources.
  • Ability to build robust data pipelines
  • Enjoy working fast-paced environment redefining vague requirements into proven solutions.
  • A willingness to accept failure, learn and try again
  • An open mind to try solutions that may seem crazy at first

We would love if you have:

  • Experience manipulating data with languages like Python (Pandas, NumPy) and R.
  • Confidence building data pipelines using Spark and/or Hive
  • Experience in implementing data ingestion pipelines using Databricks
More about the team:
Team Insights is responsible for developing and operating tools which provide insights, metrics and reports to engineering teams across Atlassian. Our mission is to provide teams with the information they need to ensure Atlassian’s products are available, scalable and engineered to meet the ever increasing demand for functionality and speed. Our tools uplift all of Atlassian’s teams by helping every team improve their engineering excellence.
Insights Data is a new part of Team Insights designed to help standardise and build trust in the data we provide other teams.
Our perks & benefits
To support you at work and play, our perks and benefits include ample time off, an annual education budget, paid volunteer days, and so much more.
About Atlassian
The world’s best teams work better together with Atlassian. From medicine and space travel, to disaster response and pizza deliveries, Atlassian software products help teams all over the planet. At Atlassian, we're motivated by a common goal: to unleash the potential of every team.
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 learn more about our culture and hiring process, explore our Candidate Resource Hub.

* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

Tags: Big Data Databricks Data pipelines Engineering NumPy Pandas Pipelines Python R Spark SQL

Perks/benefits: Health care Travel

Region: Asia/Pacific
Country: Australia
Job stats:  5  0  0
Category: Engineering Jobs

More jobs like this

Explore more AI, ML, Data Science career opportunities

Find even more open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general - ordered by popularity of job title or skills, toolset and products used - below.