Time since we first saw it
Day 48
Up longer than most. Similar jobs usually come down between day 6 and day 47.
From 1,409 similar postings that came down. Coming down is not always a hire.
Analytics Engineer (mat contract)
Bris, QLD (preference), Melb, VIC and Syd, NSW, Australia
Live, first seen by us 48 days ago- Pay
- Pay not listed
- Work setting
Hybrid — work setting source
You will have broad technical skills of developing strategic models to support a wide range of use cases for analytics, business intelligence, self-service and other data driven projects. This is a hybrid role (2 days in the office per week) that can be done from Brisbane (preferred), Melbourne or Sydney. What you'll do:
Read the full posting- Employment
- Not stated
What you’ll work on
Full postingThis is a 6 month contract position for maternity cover as an Analytics Engineer in the Customer Insights and Reporting team.
You will be responsible for leveraging large and complex data sets to build robust, reusable and optimised data models for use across the organisation.
Create standardised logical and physical data models for high data quality
Design, develop and maintain scalable data pipelines for ingesting, transforming and storing data
Work with the business and Customer Insights Analysts to surface enterprise-level views
Support data quality and validation through data analysis
Improve data quality procedures and how data quality is measured and reported
From the employer’s posting
This is a 6 month contract position for maternity cover as an Analytics Engineer in the Customer Insights and Reporting team.
You will be responsible for leveraging large and complex data sets to build robust, reusable and optimised data models for use across the organisation.
Create standarised logical and physical data models, using best practices, to ensure high data quality and reduced data redundancy.
Design, develop and maintain scalable data pipelines for ingesting, transforming and storing data.
Work closely with the business and Customer Insights Analysts to surface enriched enterprise level views enabling data driven decisions.
Provide support to data quality and data validation through analysis of data and assisting in understanding the meaning of data.
Help drive continuous improvements to data quality procedures and a consistent approach to how data quality is measured, monitored and reported.
Posting record
Report an error- Status in our records
- Live
- First seen by us
- Sep 16, 202648 days ago
- Recorded sightings
- 40
- Last seen by us
- Nov 3, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
How this job compares
Ray White is hiring
5 open jobs
Open jobs by the week we first saw them, last 12 weeks.
Hiring recordSee how this role fits your experience
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.
- SQL
- dbt
- GCP
Where the posting names them
- Proven experience with Cloud based technologies and databases - GCP is essential. - Strong experience in SQL and dbt is essential. - Hands on experience in designing and implementing dbt pipelines, setting up monitoring and troubleshooting issues
- Strong experience in SQL and dbt is essential. - Hands on experience in designing and implementing dbt pipelines, setting up monitoring and troubleshooting issues - Confidence in collecting, collating and interpreting business requirements in order to produce quality outcomes.
What we're looking for: - Proven experience with Cloud based technologies and databases - GCP is essential. - Strong experience in SQL and dbt is essential.
Your next step
Complete your application on raywhiteloanmarket.applytojob.com. The employer’s form will show what is required.
Applying through JazzHR
- No account needed: one application form on the employer’s applytojob.com page.
Already applied? Track this application
About the role
We file this job under Analytics Engineer, by the work the posting describes.
Analytics engineers turn raw warehouse data into clean, tested and documented tables that analysts and dashboards can rely on, often with dbt.
Expect strong SQL, data modeling, Git, and a warehouse such as Snowflake, BigQuery or Redshift.
A data engineer gets data into the warehouse; an analytics engineer shapes it once it is there and works closer to the analysts who use it.
US government figures for database architects
- Median yearly pay, May 2025
- $139,500
- Expected change, 2025 to 2035
- 9.4% more jobsagainst 3.5% for all jobs
The government has no code for analytics engineers, so these figures are for the closest group, database architects, the same group we use for data engineers.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.
Job description
About the role
This is a 6 month contract position for maternity cover as an Analytics Engineer in the Customer Insights and Reporting team.
You will be responsible for leveraging large and complex data sets to build robust, reusable and optimised data models for use across the organisation.
You will have broad technical skills of developing strategic models to support a wide range of use cases for analytics, business intelligence, self-service and other data driven projects.
This is a hybrid role (2 days in the office per week) that can be done from Brisbane (preferred), Melbourne or Sydney.
What you'll do:
- Create standarised logical and physical data models, using best practices, to ensure high data quality and reduced data redundancy.
- Design, develop and maintain scalable data pipelines for ingesting, transforming and storing data.
- Collaborate with various stakeholders to understand data requirements and implement solutions.
- Work closely with the business and Customer Insights Analysts to surface enriched enterprise level views enabling data driven decisions.
- Provide support to data quality and data validation through analysis of data and assisting in understanding the meaning of data.
- Help drive continuous improvements to data quality procedures and a consistent approach to how data quality is measured, monitored and reported.
- Ensure data governance standards are incorporated at the implementation level.
What we're looking for:
- Proven experience with Cloud based technologies and databases - GCP is essential.
- Strong experience in SQL and dbt is essential.
- Hands on experience in designing and implementing dbt pipelines, setting up monitoring and troubleshooting issues
- Confidence in collecting, collating and interpreting business requirements in order to produce quality outcomes.
- Experience working with product managers, platform owners and different stakeholders to gather data requirements and provide solutions.
- Experience in data engineering with in-depth knowledge of data warehousing, ETL processes and data integration techniques in cloud environments.
- Experience with ThoughtSpot is advantageous but not essential.
Source details
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
No pay amount identified in the saved description.
- Location & working pattern
Bris, QLD (preference), Melb, VIC and Syd, NSW, Australia
You will have broad technical skills of developing strategic models to support a wide range of use cases for analytics, business intelligence, self-service and other data driven projects. This is a hybrid role (2 days in the office per week) that can be done from Brisbane (preferred), Melbourne or Sydney. What you'll do:
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.