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Azure Data Engineer for AI-Driven Data Platforms
Builds Azure data pipelines and ETL/ELT processes in Microsoft Fabric or Azure Databricks, collaborates with AI agents, and consults with customers to deliver AI-driven data solutions.
Data Engineer
Build and maintain data pipelines and cloud integrations for a national homebuilder, using Boomi, SSIS, Snowflake and Microsoft Fabric to deliver reliable analytics.
Data Engineer
Builds and maintains scalable data pipelines using PySpark and Azure Data Factory to process and transform large datasets for analytics and reporting.
Data Engineer with GCP
Senior Data Engineer builds and optimizes large-scale data pipelines on GCP, focusing on BigQuery, Dataflow, and real-time processing to support analytics and reporting.
Data Engineer
Build and maintain scalable data pipelines and ETL workflows for a travel platform, enabling reliable analytics and AI-driven insights.
Data Engineer
Builds and deploys production-grade AI/data pipelines: LLM apps (RAG, agents), graph/ETL workflows, and cloud-native data platforms using Python, FastAPI, Airflow, Snowflake, and vector stores.
Data Engineer
Build and run AWS/Snowflake data pipelines for a global mobility operator, industrializing a new Data Lake and supporting analytics teams with curated datasets.
Data Engineer
Designs and builds Azure-based data pipelines and cloud data platforms using Microsoft Fabric, SQL, and ETL/ELT processes to modernize enterprise reporting and analytics.
Data Engineer
Build and run a data-migration pipeline that moves audit tables from a legacy system into Microsoft Fabric, ensuring accuracy and audit-readiness.
Data Engineer
Build and maintain scalable data pipelines and ML models to power Kogan.com’s eCommerce operations, enabling data-driven decisions across marketing, logistics, and finance.
Data Engineer (Contract)
Builds and maintains scalable Azure data pipelines using Data Factory, Databricks, and Synapse to support ETL/ELT workflows and ensure data quality and reliability.
Azure Data Engineer: Pipelines, Databricks & Synapse
Build and maintain Azure data pipelines and ETL/ELT processes using Data Factory, Databricks, and Synapse for scalable analytics.
Data Engineer
Builds scalable cloud data pipelines and modern analytics platforms using Microsoft Fabric, Azure, Databricks, and Snowflake to enable AI and business insights for enterprise clients.
Data Engineer (Finance)
Build and maintain cloud-based data pipelines for finance reporting and analytics using AWS and Snowflake, improving data quality and reliability for financial decision-making.
Data Engineer
Design and maintain secure data pipelines and a Medallion architecture on Delta Lake to deliver analytics and insights for a healthcare nonprofit.
Data Engineer
Build and maintain Azure-based data pipelines for a large Australian insurer using Synapse, PySpark, Data Factory, and Data Lake Gen2.
Senior Data Engineer - AI-Powered Data Platform Leader
Builds and maintains scalable ETL/ELT pipelines and MLOps workflows for an AI-driven data platform, enabling customer-centric AI use cases with tools like dbt, Databricks, Redshift, and Airflow.
Senior Data Engineer - AI-Driven Cloud Platform
Build and maintain AI-driven data pipelines and cloud data warehouses for a financial-services business, modernizing analytics and reporting infrastructure.
Data Engineer
Build and maintain scalable data pipelines on Azure and Databricks to integrate clinical, financial, and care systems for analytics and reporting in a large not-for-profit aged care provider.
Data Engineer
Build and maintain scalable data pipelines for Helfie.ai’s AI-powered preventative healthcare platform, transforming raw health data into real-time insights and analytics.