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The Senior Software Engineer will design and maintain data solutions for the mortgage lifecycle, focusing on ETL pipelines, cloud infrastructure, and modernizing systems using serverless and CI/CD practices.
The Senior Python AI Platform Engineer will build and scale production AI solutions for finance and procurement compliance. The role involves developing automated workflows using Azure AI, Document Intelligence, and LLMs to process contracts and invoices.
Job Description 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:…
Showtime Consulting is seeking a Senior Data & AI Engineer to design and deliver enterprise-scale AI, data platforms, and agentic solutions. The role involves building production-ready data pipelines, implementing RAG and LLM frameworks, and providing technical leadership in cloud-native environments.
The Enterprise Data & AI Engineer Lead will design, build, and govern an enterprise data platform while leading data modeling, pipeline development, and the implementation of AI-enabled solutions to drive business outcomes.
The Data and Analytics Software Engineering Specialist will manage and process microscopy research data, focusing on cryo EM workflows and 3D volume imaging. The role involves developing data management plans, utilizing machine learning for image analysis, and providing technical training to researchers at the Centre for Advanced Microscopy.
The Data and AI Engineer will establish and lead the enterprise data and AI capability for Alder Group, designing data architecture, building pipelines, and developing AI-enabled solutions. This role involves hands-on development of data platforms and reporting frameworks using tools like Power BI, Fabric, Snowflake, or Databricks.
Lead the design and development of enterprise data and analytics platforms on Azure, acting as a technical SME to deliver reporting and insights for Transport for NSW.
Lead data and software engineering for Sydney Metro's large transport infrastructure program, driving the enterprise data platform and enabling reporting and analytics.
Analytics Engineer building reusable data marts, semantic layers, and reporting datasets using SQL Server, PostgreSQL, and BI tools (Tableau, SSRS, Apache SuperSet) for a mining and infrastructure contractor in Perth.
Analytics Engineer building reusable data marts, defining KPIs with stakeholders, and transforming raw data into trusted models using SQL Server and PostgreSQL for consumption via SSRS, Tableau, and Superset.
This role involves leading the technical delivery of end-to-end data and analytics projects for a consultancy, focusing on the Microsoft Azure stack and Databricks. The engineer will design cloud-native data pipelines, guide clients through migrations, and mentor junior team members.
The Senior Analytics Engineer will design and deliver scalable data products and semantic layers within Azure, Databricks, and dbt environments to support university-wide decision-making. The role involves mentoring team members, establishing data governance standards, and contributing to AI-ready analytics initiatives.
Senior Data Engineer/Architect designing, building, and maintaining data architecture and BI solutions for NSW Health's Sydney Local Health District, working with cloud data infrastructure, SQL, and Python.
Chief Architect leading a Databricks practice at a tech consultancy—designing Lakehouse platforms, owning enterprise architecture, leading large-scale cloud/data migrations, and mentoring engineering teams across APAC, with hands-on Spark work.
Design and build scalable cloud-native data solutions, ETL/ELT pipelines, and governed data platforms using SQL, AWS services, Python/PySpark, and CI/CD practices.
Lead data engineering and reporting at IAG, building scalable data pipelines and products using SQL, DBT, Tableau, and AI-driven approaches in a hybrid role on Australia's East Coast.
Modernize a legacy SQL Server platform into AWS-native data capabilities—designing, building, and optimizing cloud data solutions and migrating databases, ETL, reporting, and analytics workloads using SQL and AWS services.
Design and lead enterprise data and AI platforms on Azure and Databricks, building scalable data pipelines, implementing CI/CD, and mentoring teams to support analytics and ML initiatives.
The Senior Data Engineer will lead the design and implementation of a real-time event-streaming platform using Kafka, Flink, and ClickHouse. The role involves managing end-to-end data pipelines and establishing observability and quality standards for analytics-ready datasets in BigQuery.
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