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The Senior Azure Data Platform Engineer will design, build, and maintain cloud-hosted data and analytics platforms using Azure Databricks, Data Factory, and Microsoft Fabric. The role involves implementing Infrastructure as Code and secure IAM settings within an Agile team environment.
Design, build, and support scalable cloud data solutions and modern data pipelines using Snowflake, DBT, AWS, Python, and SQL, while implementing data models, quality controls, and governance.
The Lead Data Engineer will build and maintain enterprise data platforms to support analytics, AI, and ML initiatives within a Federal Government environment using Azure Databricks and Microsoft Fabric.
The Data Engineering Manager will lead a team to build and maintain scalable data pipelines for high-resolution aerial imagery and 3D geospatial products. This hands-on role involves collaborating with leadership to set priorities and ensure the delivery of high-quality geospatial data solutions.
The Data Engineering Lead will oversee the development of scalable, secure data platforms and drive data governance and responsible AI adoption at Barwon Water. This role involves leading a team and collaborating with senior stakeholders to deliver high-value data products.
The Lead, Enterprise Data & Platform Engineering will oversee data strategy, platform architecture, and pipelines for a major infrastructure program in Sydney. The role involves managing data and software engineering functions to deliver insights and improve services.
The Head of Data & Platform Engineering leads the data and software engineering function for NSW's major transport program. This role oversees enterprise data platforms, analytics, and technology roadmaps within a safety-critical environment.
This contract role involves building enterprise data pipelines and Lakehouse architectures for a government organization focused on climate and environmental resources. The position requires expertise in Databricks, PySpark, and Azure cloud services.
The Analytics Engineer will curate analytical datasets and develop scalable ETL pipelines to support enterprise reporting and decision-making for Queensland X-Ray. This role bridges data engineering and analytics to standardize reporting processes across multiple radiology entities.
The Senior SQL & Data Platform Engineer will manage and optimize Microsoft SQL services within complex environments. The role focuses on technical leadership, database administration, and automation to ensure secure and scalable data platforms.
The Cloud Data Engineer will manage and optimize AWS infrastructure, MuleSoft integrations, and data pipelines to support health research at the Murdoch Children's Research Institute. The role involves implementing Infrastructure as Code using Terraform and maintaining secure, scalable cloud services.
Own the dbt transformation layer and semantic/AI semantics that turn raw data into curated models for BI, self-service analytics, and AI agents at a large Australian property group.
The Senior Data Platform & Analytics Engineer will manage the full data lifecycle, transforming source data and business rules into governed, analytics-ready assets. The role involves collaborating with cross-functional teams to improve data reuse and quality across the organization.
Insight Timer is looking for a Senior or Lead Analytics Engineer to build scalable data systems, own key metrics, and advance self-serve analytics. This role focuses on product-minded data modeling and mentoring to drive impact across the user experience.
Data Integration Engineer - Business In Scale Up! We are excited to bring to market a newly created role with a financial services client that is in scale-up mode after launching a new and innovative lending product…
The Senior Databricks & Cloud Data Engineer will lead end-to-end data projects and architecture decisions using the Azure stack, Databricks, and Power BI. The role involves collaborating with cross-functional teams to deliver scalable analytics solutions.
The Senior Database & Analytics Engineer will build and govern data foundations within an AI and analytics team, focusing on data modeling, ETL/ELT, and establishing engineering standards. The role involves working with cloud data platforms like Azure and Microsoft Fabric to transform raw data into analytics-ready assets.
The Technical Lead will design and implement data platform components for Generative AI initiatives using Databricks, Apache Spark, and Python. The role involves both hands-on development and technical leadership to guide delivery teams in building scalable, secure solutions.
The Analytics Engineer will manage the transformation and modelling layer, utilizing dbt to convert raw data into curated models for BI and AI applications. The role involves building end-to-end data pipelines on cloud platforms and implementing DataOps practices to ensure data quality.
Select how often (in days) you would like to receive alerts Senior Manager Data & Software Engineering (Temporary Opportunity - Up to 12 months) Organisation/Entity: Transport For NSW Job category: Information…
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