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AWS Data Engineer: PySpark & Databricks for HealthTech
Build and maintain secure, scalable data pipelines on AWS and Databricks to process clinical data for health analytics, using PySpark, Python, and SQL.
Data Engineer Analyst (Fabric, Power BI)
Build and maintain data pipelines and Power BI reports using Microsoft Fabric and Azure services to deliver analytics and reporting solutions.
Data Engineer Consultant (Fabric, Power BI)
Builds scalable data pipelines and Power BI dashboards using Microsoft Fabric to deliver analytics and insights for clients.
Quantexa Data Engineer — Spark, Scala, Azure
Builds and optimizes ETL pipelines and scoring models using Quantexa, Scala, and Spark on Azure for client projects in Australia.
Azure Data Engineer: Build Scalable Cloud Pipelines
Build and maintain scalable cloud data pipelines using SQL, Python, Databricks, and Scala/Java to process and transform data for analytics.
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Amazon Web Services (AWS) Data Engineer — Network Operations & Fabric Analytics
Build and maintain AWS-based ETL/ELT pipelines and data models for network operations, ensuring data quality and migrating legacy systems to cloud-native platforms.
Data Engineer – Azure & Fabric | Flexible Hours & Leave
Build and maintain Azure-based data pipelines and warehouses using SQL, Databricks, and ETL to deliver business insights for a water utility.
GCP Data Engineer: Real-Time Pipelines & BigQuery
Designs and builds scalable GCP data pipelines using BigQuery, Dataflow, Pub/Sub and Cloud Storage, focusing on batch and streaming ETL/ELT workflows and BigQuery data models.
GCP Data Engineer — BigQuery & Dataflow Architect
Design and build scalable GCP data pipelines using BigQuery, Dataflow, and Pub/Sub to process petabyte-scale data for analytics and ML workloads.
Data Engineer — PySpark, ADF & ETL Specialist
Build and maintain ETL/ELT pipelines using PySpark and Azure Data Factory to process large-scale data operations.
Azure Data Engineer
Builds and maintains cloud-based data pipelines using SQL, Python, and Azure tools to transform and analyze data at scale.
AWS Data Engineer
Build and optimize AWS-based data pipelines and ML workflows using SageMaker, Kinesis, Glue, and Redshift, ensuring low-latency real-time and batch processing with Python and AWS services.
Data Engineer-GCP
Build and maintain scalable data pipelines on GCP using BigQuery, Dataflow, and Pub/Sub, with Python and SQL.
Data Engineer-GCP
Designs and builds scalable data pipelines on GCP using BigQuery, Dataflow, and Pub/Sub, with Python and SQL.
Google Data Engineer - GCP
Design and build scalable GCP data pipelines (BigQuery, Dataflow, Pub/Sub) to process petabyte-scale data for analytics and ML, ensuring reliability and security.
Data Engineer-GCP
Builds and maintains scalable data pipelines on GCP using BigQuery, Dataflow, and Pub/Sub, with Python, SQL, and Apache Beam/Spark.
Databricks Data Engineer - Cloud Pipelines Architect
Designs and builds end-to-end cloud data pipelines on Databricks for a large resources-sector company, focusing on ETL/ELT, data governance, and platform engineering.
Data Engineer (Sydney Australia)
Build and modernise client data pipelines using Microsoft/Azure tech, then deliver analytics tools that turn raw data into business insights across industries.
Data Engineer: Modern Cloud Data Platforms & Analytics
Designs and builds scalable cloud data pipelines using Microsoft Fabric, Azure, and Snowflake to support analytics and ETL workflows.
Data Engineer | Databricks Pipelines & Analytics | Flexible
Build and maintain Databricks pipelines and analytics for Velocity Frequent Flyer’s loyalty program, creating scalable data products and ETL workflows.