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Senior Data Engineer - Snowflake/DBT/AWS (6mo Contract)
Design, build, and optimize an enterprise data warehouse using Snowflake, DBT, and AWS to support business intelligence initiatives.
Senior Data Scientist, Finance
Senior Data Scientist at Xero building forecasting and optimization models to guide finance and corporate decisions, using SQL, Python/R, and Tableau.
Remote Snowflake Data Engineer — Modern Data Pipelines
Build and optimize Snowflake data pipelines and dbt models for enterprise clients, collaborating with architects and stakeholders.
Senior Snowflake Data Engineer - Remote & Flexible Hours
Senior Snowflake data engineer builds and optimizes data pipelines and models for enterprise clients using dbt and Snowflake.
Position: Principal Data Engineer New
Principal Data Engineer at REA Group designs and oversees large-scale data systems for Australia’s leading property platform, ensuring reliable pipelines and high-quality data delivery for millions of users.
Data Engineer - Greenfield Enterprise Platform (DBT, Snowflake)
Build a new enterprise data platform using Data Vault, DBT Core, Snowflake, Python and Streamlit for a climate-focused product company.
Principal Data Engineer
Lead the architecture and delivery of large-scale data systems for a top Australian property platform, guiding ETL workflows, cloud warehouses, and cross-team collaboration.
Solution Designer / Lead Data Engineer (Google Cloud)
Design and lead the modernization of an enterprise-wide GCP data ingestion framework, building scalable, secure, and real-time pipelines using BigQuery, Dataflow, Pub/Sub, and related GCP services.
Senior Manager - Data Engineering
Lead a team of 10–15 engineers to design and scale cloud-native data platforms using Databricks, GCP, and PySpark, while setting engineering standards and security guardrails for enterprise-wide data transformation.
Senior Data Engineer - 12 month FTC
Senior Data Engineer builds and maintains ETL/ELT pipelines and MLOps workflows on a modern data/AI platform to create reusable, single-source datasets for AI/ML use cases in a large telco.
Senior Data Engineer — Snowflake, dbt & StreamSets
Senior Data Engineer builds and maintains scalable data pipelines in Snowflake and dbt, using IBM StreamSets to move and transform data for financial crime detection at Commonwealth Bank.
Senior Data Scientist
Build a data warehouse and analytics engine for a stealth-stage FinTech startup, using SQL, Python, Snowflake, and dbt to optimize billing, payments, and customer monetization.
Solution Designer / Lead Data Engineer (Google Cloud)
Design and lead the build of a modern, scalable GCP-based data ingestion framework, using BigQuery, Dataflow, Pub/Sub, and Airflow to move batch and streaming data into cloud storage.
Data Engineering Lead
Lead a team of data engineers to design and modernize cloud-based data pipelines and architectures for a lottery/SaaS company, migrating from legacy systems and ensuring governance, security, and scalability.
Senior Data Engineer
Senior Data Engineer builds and maintains RACV’s Snowflake-based enterprise data platform, designing scalable ELT/ETL pipelines and data models to turn raw data into trusted insights for business decisions.
Senior Data Engineer — Semantic Layer & Governed Data
Build and maintain a unified semantic data layer for finance, HR, procurement and compliance using Databricks, dbt, SQL and PySpark.
Solution Designer / Lead Data Engineer (Google Cloud)
Design and lead a modern, multi-cloud enterprise data ingestion framework, building scalable pipelines and governance controls to move batch and streaming data into cloud data lakes and warehouses.
AI Engineer
Build and deploy enterprise-grade AI/LLM solutions using Snowflake, dbt Cloud, and Python, focusing on RAG, conversational AI, and MLOps pipelines for a large pharmacy retailer.
Senior Data Engineer
Senior Data Engineer builds and migrates a data platform to Microsoft Fabric, owning ingestion, pipelines, modeling, and Power BI semantic layers for reporting and AI use cases.
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.