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Lead Data Engineer: Multi-Cloud Ingestion Architect
Lead a multi-cloud data ingestion architecture over GCP, AWS or Azure, designing secure, governed pipelines and mentoring teams to build high-throughput data flows.
Senior Data Engineer
Designs and builds scalable data pipelines and platforms using Databricks, Python/Scala/SQL, and multi-cloud infrastructure to support analytics and reporting for enterprise clients.
Data Engineer
Designs, builds, and secures data pipelines and real-time processing systems using Python, Java, and NiFi to support intelligence operations.
Salesforce Data Cloud Engineer
Designs and builds Salesforce Data Cloud pipelines, identity resolution, and integrations with Sales/Service/Marketing Clouds using SQL, Python, and APIs.
AI & Data Architect (Enterprise AI & Data Platforms)
Designs enterprise-scale AI and data platforms, including RAG systems and cloud-native architectures, while establishing governance frameworks and vendor-agnostic standards for secure, scalable AI solutions.
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.
Senior Data Engineering & Warehousing Solutions Architect
Design and implement scalable data engineering and warehousing solutions on Databricks, guiding customers through cloud transformations and enabling BI workloads.
Senior Data Engineer
Build and lead scalable data pipelines using Azure Databricks, dbt, and Kimball modeling to power analytics and AI initiatives for an Australian organization.
Azure Fabric Data Engineer - Medallion Architecture
Designs and builds Azure Fabric data pipelines for healthcare analytics using medallion architecture (Bronze/Silver/Gold layers).
Data Engineer
Build and maintain data pipelines, warehouses, and governance for a fintech platform using Python, Databricks/Snowflake, and cloud services.
Data Engineer
Designs and builds scalable GCP data pipelines and platforms using BigQuery, Dataflow, and Python/Java/Scala to support AI and analytics workloads.
Senior Associate Data Engineering
Design and build large-scale data pipelines and cloud-native platforms using Snowflake/Databricks, Python, SQL, and IaC tools like Terraform to enable analytics and digital transformation for enterprise clients.
Staff Data Engineer (Data Platform & Modernisation)
Lead the design and modernization of a cloud-native data platform for a major bank, migrating legacy SQL Server systems to AWS-native services like Aurora PostgreSQL and Redshift while building scalable pipelines and ensuring regulatory compliance.
Senior Data Lead / Data Engineer
Designs and maintains scalable data pipelines using Azure Data Factory, Databricks, and Power BI to support analytics and reporting for a logistics-focused company.
Senior Data Engineer, Python, Spark, DevOps
Build and maintain scalable data pipelines and cloud-native analytics platforms for a major securities exchange, using Python, Spark, AWS Glue, Redshift, and CI/CD practices.
Data Engineer (Azure Fabric)
Designs and implements Azure Fabric-based ETL pipelines, ingesting and transforming data into medallion layers while building monitoring and reconciliation jobs.
AWS Data Engineer: Big Data Pipelines & Cloud Analytics
Design and build cloud-based big data pipelines and data warehouse integrations using AWS, Spark, Python, and SQL for enterprise clients.
Senior Data Engineer- Data Bricks
Build and maintain scalable data pipelines and analytics solutions on Azure Databricks, Azure Data Factory, and Azure Data Lake Storage to power Tennis Australia’s data warehouse and reporting needs.
Data Engineer: Architect Data Pipelines & Governance
Design and implement data pipelines and governance frameworks using Python, Databricks, Snowflake, and cloud services (Azure, AWS, GCP) for a new data platform.
Senior Data Engineer- Data Bricks
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.