Grow your Azure data engineering experience in a flexible, hands-on contract role.Your new company Our client is seeking to engage a mid-level Data Engineer to join its Business Intelligence and data team on a short-term contract.
With an established enterprise data warehouse environment already in place, the team is looking for an additional Data Engineer to support delivery through to the end of the year.This is a hands-on development role suited to someone with around 2–3 years of data engineering experience who is comfortable working within an established team, taking direction from a Senior Data Engineer and owning allocated technical tasks through to completion.The role offers a hybrid working arrangement, with the flexibility to work from their Sippy Downs or Petrie offices 2 to 3 days per week.Your new role Working closely with the Senior Data Engineer and wider BI team, you'll help develop and maintain data solutions across an Azure-based setting.Your responsibilities will include:Developing SQL stored procedures, tables, views and data transformationsBuilding and maintaining ETL/ELT processes across multiple source systemsDeveloping scalable data pipelines using Azure Synapse Analytics and Azure Data FactoryApplying Kimball dimensional modelling and medallion architecture principlesSupporting the ongoing development of an established enterprise data warehousePreparing and executing unit, integration and data reconciliation testingUsing Python for data engineering, transformation and automation activitiesTroubleshooting and optimising pipelines and data integration processesMaintaining clear technical documentation covering transformations, business rules,



testing and handoverWorking collaboratively with the broader team while independently delivering assigned development tasksWhat you'll need to succeed We're looking for someone who has approximately 2–3 years of hands-on data engineering experience and is comfortable getting into the technical detail.You'll ideally bring:Hands-on experience with Azure Synapse AnalyticsExperience developing pipelines using Azure Data FactoryStrong SQL skills, including stored procedures, complex queries, views and data transformationsPractical Python experience in a data engineering environmentExperience with ETL/ELT and data integrationKnowledge of Kimball dimensional modellingUnderstanding of medallion architectureExperience working with enterprise data warehousesExposure to data warehouse testing, including unit, integration and data validation testingGood communication and collaboration skillsThe ability to take direction and independently deliver allocated technical workExperience with Azure Databricks would be beneficial but isn't essential.
Experience with higher education data, student datasets or student lifecycle reporting would also be advantageous.What you'll get in return This is a great short-term opportunity for a developing Data Engineer to gain further experience in an established enterprise data environment without needing to step into a senior or lead-level position.You'll get:Exposure to an established enterprise data warehouseA collaborative BI and data team environmentA short-term engagement through to the end of ****What you need to do now If you're interested in this role, click 'apply now' to forward an up-to-date copy of your CV, or call us now.If this job isn't quite right for you, but you are looking for a new position, please contact us for a confidential discussion on your career.
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📌 Data Engineer (Queensland)
🏢 Hays
📍 Queensland