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Senior Data & ML Engineer builds automated data pipelines, a central SSOT database, and AI/ML-ready data models to support reporting, analytics, and machine learning across the business.
Principal Data Engineer builds and optimizes high-performance data pipelines for a fast-growing fintech, using Azure, Snowflake, dbt, and Airbyte to power analytics and ML at scale.
Build and operate cloud-native data platforms using Python, Spark, and AWS/GCP, designing scalable ETL/ELT pipelines and modern data warehouses.
Senior Data Scientist to design Azure data pipelines, build ML models, and implement MLOps for enterprise-scale analytics and AI solutions in a 12-month contract.
Design and build scalable data pipelines on Azure Databricks and Microsoft Fabric to ingest, process, and transform financial data for analytics and AI initiatives.
Build and scale Python applications that integrate ML models, using PySpark and Kubernetes; collaborate with data scientists to deploy end-to-end ML pipelines.
Builds systems that gather, store, and process large volumes of data for analysis. Responsibilities: Develop ETL pipelines, ensure data quality, optimize data storage solutions. Skills: Python, SQL, cloud data tools…
Build and maintain scalable backend systems in .NET/C# on Azure to power H&M’s pricing and adjustment capabilities, ensuring security, performance, and reliability at scale.
Design and lead the architecture of a governed self-service data platform for a global retail enterprise using Microsoft Fabric and Azure services.
Designs and maintains scalable Azure data pipelines using Data Factory, Databricks, and Synapse to enable ETL/ELT workflows, data quality, and automation.
Design and build scalable Azure-based data pipelines and lakehouse architectures to power enterprise reporting, analytics, and AI initiatives using Azure Data Factory, Microsoft Fabric, and Power BI.
Build and maintain scalable Azure data pipelines using Data Factory, Databricks, and Synapse to ensure reliable, high-quality data flows and ETL/ELT processes.
Designs, builds, and maintains scalable data pipelines and cloud-based data platforms to ensure reliable data ingestion, transformation, and delivery for analytics and downstream systems.
Build and maintain secure data pipelines and curated datasets in Microsoft Fabric/Azure for analytics and reporting, using PySpark, SQL, dbt and medallion architecture.
Senior Data Engineer builds and optimizes SQL Server ETL pipelines to migrate legacy data into a modern CRM for a top ASX-listed enterprise.
Build and maintain data pipelines, migrate and integrate datasets, and enhance analytics capabilities using SQL, Python, and Azure tools for a federal government department.
Senior Data Engineer builds and maintains scalable data pipelines and analytics solutions on Azure Databricks, Azure Data Factory, and Azure Data Lake Storage to power Tennis Australia’s reporting and AI needs.
Senior Data Engineer builds and maintains Azure Data Factory pipelines and data models to deliver analytics insights for Melbourne's tram network.
Senior Data Engineer builds and maintains Azure-based data pipelines and analytics tools for Melbourne’s tram network, ensuring scalable data ingestion and reporting for insights.
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