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In this episode, I’ll dive into the flavours of Australia with a taste test of local cider 🍏 “Sidewood” and explore data jobs, the tech stack, and popular data tools specific to this region.
I’ll also examine the average house pricing 🏠 and net pay 💰 for data roles, drawing on the information available in job descriptions.
Additionally, I will assess the overall quality of these job descriptions and share essential tips for HR and recruitment professionals on crafting compelling job ads to attract the right talent.
Some Insights:
– Most jobs in Australia are On-site or Hybrid but still many remote jobs, especially for engineer. 🔄
– There are lots of data jobs across Australia
– There are many consulting companies who are hiring data generalist positions
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– Didn’t see any MAANG or other Big Tech company among jobs description
Technology Stack Insights:
– SQL Server and Microsoft on premise data stack (SSIS, SSAS, SSRS) is popular
– Many companies are investing in Microsoft Azure (cloud) and require knowledge of Synapse, Fabric or Databricks
– Power BI is the most popular, but still many jobs for Tableau and some for Looker
– AWS and GCP are popular to
– Many jobs with BigQuery
– Databricks probably the most popular (on top of Azure/AWS/GCP) and I didn’t notice many jobs with Snowflake
– Almost all jobs requires knowledge of DevOps practices such as CI/CD, containers
Salary Insights:
– Data Engineers net around 150k-180k a year, while Data Analysts average 120k a year 💵
– Staff DE up to 220k per year
– Head of Data or Director roles up up to 250k per year
Housing Information:
– The average 3-bedroom house costs 1,5 million+ 💸
– Locations farther from major cities are cheaper
– For now mortgage rate is around 6% and you would need 20% downpayment for something around 1mln.
Watch the video to catch all the key points.
Let me know if you’d like me to review your country/city in the comments below! 🌍✍️
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What is Surfalytics?
Inspired by West Coast surfing spots 🏖️ and Pacific Ocean vibes 🌊. Created to help you start a new career in the data analytics space, and develop data engineering and analytics skills through coaching. It will teach you not just dry skills, but will keep your focus on delivering significant value to businesses in the analytics realm as well as help to get fair compensation 💰 for the work you’re passionate about ❤️🔥.
The goal of Surfalytics is to assist you in achieving one of the following:
🏄♂️ Land your first job in the data industry with literally zero experience. I have accomplished this many times across the globe.
🏄 Advance from a middle-level role to a senior position (as an Analyst or Engineer).
🏄♀️ Transition from a non-technical Analyst role to a technical Engineer role.
Moreover, we will focus on creating a highly competitive CV and securing top job offers. We will not consider any lowball offers, focusing only on top-tier companies and well-paid opportunities.
Finally, Surfalytics is a results-driven community with a very narrow focus, resulting in a high return on investment (ROI). Here, ‘investment’ does not mean money but your time. I am literally fighting for your attention to encourage you to study and work hard, instead of watching Netflix or playing video games.
Want to be part of our growing community? Join on Surfalytics.com
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