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Randstad are currently working with a Queensland Government Department to find an Analytics Engineer for an initial contract until 30/06/2026. This role is based in Brisbane city with WFH flexibility, or it can be worked remote from anywhere within Australia. Working within a team of professionals, the Business Intelligence Analytics Engineer will create and manage BI and analytics solutions within a Data Lakehouse that will be used to visualise information and support analytical needs in the various organisational areas within the Department. ...

Pay Rate: $787.60 a day + super for PAYG (or $878.17 a day + GST for ABN)

Key responsibilities:

Design, develop, and maintain data models in dbt for structured, scalable analytics using Data Vault 2.0 methods.
Build and optimise data pipelines.
Work closely with data platform engineers, analysts, and business stakeholders to improve data accessibility and usability.
Optimise queries for performance and efficient creation of data products.
Implement best practices for data quality monitoring and automation.

Essential requirements

2+ years of Databricks experience.
Demonstrated experience in analytics engineering, data engineering, or BI development.
Understanding of data modelling, governance, and performance optimisation.
Excellent communication and team skills.
Experience in Azure and an understanding of modern data platforms.
Analytical mind with a problem-solving aptitude.

Desirable requirements:

Data engineering capability
Experience working in Databricks, including using Python.
Understanding of Data Lakehouse principals.
Experience in Data Vault 2.0 modelling methods
Experience work in Agile teams.
Microsoft Power BI experience using DAX, Power Query.
Development of Azure Data Factory pipelines, mapping, and wrangling dataflows

If interested, please hit "APPLY" or email your CV to sian.asnicar@randstaddigital.com.au

At Randstad, we are passionate about providing equal employment opportunities and embracing diversity to the benefit of all. We actively encourage applications from any background.

Key responsibilities:

Design, develop, and maintain data models in dbt for structured, scalable analytics using Data Vault 2.0 methods.
Build and optimise data pipelines.
Work closely with data platform engineers, analysts, and business stakeholders to improve data accessibility and usability.
Optimise queries for performance and efficient creation of data products.
Implement best practices for data quality monitoring and automation.

Essential requirements

2+ years of Databricks experience.
Demonstrated experience in analytics engineering, data engineering, or BI development.
Understanding of data modelling, governance, and performance optimisation.
Excellent communication and team skills.
Experience in Azure and an understanding of modern data platforms.
Analytical mind with a problem-solving aptitude.

Desirable requirements:

Data engineering capability
Experience working in Databricks, including using Python.
Understanding of Data Lakehouse principals.
Experience in Data Vault 2.0 modelling methods
Experience work in Agile teams.
Microsoft Power BI experience using DAX, Power Query.
Development of Azure Data Factory pipelines, mapping, and wrangling dataflows

If interested, please hit "APPLY" or email your CV to sian.asnicar@randstaddigital.com.au

At Randstad, we are passionate about providing equal employment opportunities and embracing diversity to the benefit of all. We actively encourage applications from any background.

skills
databricks, azure, python, lake house, DAX, power query
qualifications
- Any relevant qualifications desired.
education
Secondary School/High School

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summary

brisbane, queensland
contract
full-time

specialism
it & ict
sub specialism
information management, business intelligence & data analytics
reference number
90M0662879_3691779137613009593

apply with randstad.
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Once it is determined whether or not you’re suitable for the role, a consultant will be in touch to discuss your application further.
getting you registered.
If you’ve never worked with us before, we’ll need some basic additional pieces of information to confirm your eligibility to work in Australia.
compliance check.
Next, we just need to verify a few things - we’ll make the relevant compliance checks and keep you posted.
reference and background check.
As part of the process in ensuring you’re perfect for the role, we’ll make contact with any relevant references you’ve provided.
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sian asnicar

sian.asnicar@randstaddigital.com.au

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analytics engineer - can be remote from anywhere in australia.

job details

skills

qualifications

education

share this job.

the application process.

apply with randstad.

we'll give you a call.

getting you registered.

compliance check.

reference and background check.

the perfect job for you.

the interview and negotiation.

start your new job.

get in touch

sian asnicar

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