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AWS Data Engineer – Microsoft Fabric
Designs and maintains scalable AWS data pipelines and Microsoft Fabric environments, building ETL/ELT processes and data warehouses to support enterprise analytics and reporting.
Modern Ops Data Engineer: Cloud & Data Platform
Build and maintain scalable, secure data platforms for enterprise clients, focusing on CI/CD, automation, and performance in a collaborative onsite role.
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.
GCP Data Engineer – Growth-Driven Tech Consultancy
Designs and builds cloud data pipelines, data lakes, and warehouses using GCP for clients, while advising on secure, cost-effective solutions.
Data/ML DevOps Engineer
Build and own the data infrastructure and MLOps tooling for Neurode’s brain-computer interface, turning raw neural signals into pipeline-ready training data at petabyte scale.
Lakehouse Data Engineer - Power BI & Fabric
Builds scalable data pipelines and Power BI reports using Microsoft Fabric, Python, and SQL to modernize legacy data systems.
Data Engineer: Scale-Up with Relocation Support
Design, expand, and optimize data pipelines and architecture for predictive models at a growing fintech company on Australia’s Sunshine Coast.
Lead Data Engineer - Databricks
Lead a team to design and deploy Databricks-based data pipelines and Lakehouse architectures, using PySpark/SQL and cloud platforms to build AI-ready data platforms for enterprise clients.
GCP Data Engineer: Build Scalable Cloud Data Pipelines
Designs and builds scalable cloud data pipelines on GCP using BigQuery, Dataflow, Pub/Sub, and Cloud Composer to process large datasets and enable data-driven decisions.
Lead Data Engineer
Lead the design and build of a greenfield enterprise data platform on Microsoft Fabric/Azure, setting data architecture, pipelines, and governance for a construction business investing in AI and analytics.
AWS Data Engineer: ML Pipelines & Data Lakes
Designs and builds scalable AWS data pipelines and data lakes for analytics and ML workloads, using Python and SQL.
Azure Data Engineer — AI-First Data Platform Specialist
Designs and builds AI-first data pipelines on Microsoft Azure, using Python to integrate and transform customer data for analytics and AI workloads.
Data Engineer - GCP
Build and maintain scalable data pipelines on GCP (BigQuery, Dataflow) to power analytics and decision-making for a fintech brokerage.
Data Engineer-NSW
Build and maintain AWS-based data pipelines and real-time streaming solutions using Python, PySpark, Airflow, and Kinesis for a HR-focused product company.
Data Engineer - Financial services
Design and build scalable cloud data pipelines and reference data for financial services, using Python, Airflow, dbt, and cloud-native tools to enable analytics and regulatory reporting.
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.
AWS Cloud Data Engineer - Pipelines & PySpark
Builds and maintains scalable AWS data pipelines with Python, PySpark, Glue, and Airflow for a major bank in Sydney.
Data Engineering Consultant: Snowflake & Databricks
Designs and builds cloud data platforms using Snowflake and Databricks, creating scalable pipelines and analytics to support AI initiatives.
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.