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Senior Data Engineer: AI-Driven Lakehouse & Cloud Pipelines
Design and build scalable data pipelines and lakehouse architectures on Databricks using PySpark/Scala and Delta Lake, ensuring production readiness with CI/CD and monitoring.
GCP Data Engineer (Google)
Build and scale GCP-based data pipelines and BigQuery models to process petabyte-scale data, enabling analytics and ML across enterprise systems using Dataflow, Pub/Sub, and Composer.
Hybrid Senior Data Engineer for Government Transformation
Senior Data Engineer building enterprise data warehouses, lakes, and ETL/ELT pipelines for a NSW government transformation program, enabling analytics and AI/ML across on-prem and cloud.
Senior Data Engineer - Enterprise Data Platform (Hybrid)
Design and operate data warehouses and lakes, build scalable ETL/ELT pipelines, and mentor junior engineers for a large public-sector data transformation program in Sydney.
Amazon Data Engineer, Network Operations, Network Fabric Engineering (AWS)
Build and maintain AWS-based ETL pipelines, data models, and monitoring for Amazon’s global network operations, migrating legacy systems to cloud-native platforms.
Senior Data Engineer
Design and build cloud-native data platforms using Snowflake, AWS and Python to power analytics, AI, fraud detection and customer intelligence for a large bank.
Azure Data Engineer: Scalable Pipelines & Databricks
Build and maintain scalable Azure data pipelines using Data Factory, Databricks, and Synapse to ensure reliable, high-quality data flows and ETL/ELT processes.
Architect, Data and AI Engineering
Design and deliver modern data platforms on AWS, Azure, and GCP, using cloud data warehouses, Spark, Kafka, and ML tools to build scalable analytics and AI solutions for enterprise clients.
Data Engineer (Financial Analytics focus)
Build and maintain financial data pipelines and reporting systems using PostgreSQL, Airflow, and ELT/ETL processes for a global trading platform.
Data Engineering Lead
Lead a team to design and maintain enterprise-scale data pipelines and warehouses using ETL/ELT tools, SQL, and cloud platforms to support insurance operations.
Data Engineer
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.
Data Engineer: Pipeline ETL/ELT, Dati Sicuri e Cloud
Build and maintain secure, scalable ETL/ELT pipelines and cloud data infrastructure to integrate diverse sources and power analytics.
Senior Data Engineer - Databricks Data & AI · ·
Senior Data Engineer builds and deploys Databricks-based Lakehouse data pipelines using Spark, Delta Lake, and dbt to productionize AI models and migrate enterprise data platforms.
Lead Data Engineer - Snowflake Data & AI · ·
Lead a team to design and deploy Snowflake-based data architectures, build ETL/ELT pipelines, and productionise AI models for clients using cloud-native tools and best practices.
Senior Data Engineer
Senior Data Engineer builds and maintains cloud data pipelines and warehouses using Snowflake, Airflow, and AWS to power analytics and decision-making across a large enterprise.
Data Engineer: Build Scalable ETL Pipelines & BI
Designs and maintains scalable ETL pipelines and BI infrastructure to integrate Shopify, ERP, CRM, and logistics data for analytics and reporting.
GCP Data Engineer — Streaming ETL & BigQuery Expert
Design and implement scalable GCP data pipelines using BigQuery, Dataflow, and Pub/Sub to build batch and streaming ETL/ELT solutions for real-time analytics in fintech.
Data Engineering Lead
Lead the design and build of scalable data pipelines that transform messy marketing data into clean, model-ready datasets for an AI-powered Marketing Mix Modelling platform.
Data Engineering Lead - Snowflake
Lead Snowflake migrations and implementations, build semantic data models, and integrate BI tools like Power BI for enterprise reporting while applying modern DevOps practices.
Data Engineer
Designs and builds scalable GCP data pipelines and platforms using BigQuery, Dataflow, and Python/Java/Scala to support AI and analytics workloads.