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Senior Data Scientist
Build and deploy ML models to improve fintech products, turning data insights into decisions with Python, R, and cloud tools.
Senior Data Scientist
Lead the design and implementation of data science solutions to address complex university challenges, using Python, R, and ML frameworks.
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
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.
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.
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.
Senior Data Engineer (Databricks/Azure) - Hybrid, QLD
Senior Data Engineer builds and optimizes Databricks/Azure pipelines for enterprise clients, focusing on Lakehouse architecture, Delta Lake, and Spark workloads.
Senior Databricks & Azure Data Engineer | Hybrid QLD
Design and optimize large-scale data pipelines using Databricks Lakehouse, Delta Lake, and Spark, with Azure Fabric, Data Factory, and Synapse Analytics.
Senior Real-Time Data Engineer: Python & Spark Pipelines
Build and optimize real-time data pipelines using Python and Apache Spark to support trading research and large-scale data processing for a quantitative trading firm.
Principal Data Scientist
Lead AI/ML initiatives at Australia’s largest bank, designing and deploying GenAI, agentic systems, and ML models to reimagine customer service and operations using Python, LangChain, and cloud platforms.
AWS Data Engineer – Cloud Migration & Analytics
Build and migrate AWS data pipelines for cloud transformation, using DMS, Glue, Redshift, and Spark to move data from legacy systems and enable analytics.
Senior AI Engineer, AI AcceleratorHybrid
Design and implement AI solutions to enhance a large retail ecosystem, using Python, TensorFlow/PyTorch, and cloud platforms.
Senior Data Engineer, Core Banking Migrations
Build and own data migration pipelines to move core banking data from legacy systems like Ultradata into Constantinople’s AI-native banking platform using Snowflake, Python, and AWS.
Senior Data Engineer—Python & Spark, Real-Time Pipelines
Build and optimize real-time data pipelines in Python and Spark to power trading research at a global market maker.
Applied Data Scientist & ML Platform Engineer
Builds and deploys ML models to turn subsurface data into actionable insights using Python, cloud platforms, and frameworks like TensorFlow/PyTorch.
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.
Staff Machine Learning Engineer
Staff ML Engineer at Xero’s AI Products group designs scalable ML infrastructure and sets technical standards for LLM-powered features used by millions of small business customers.
Data Engineer
Build and maintain data pipelines, warehouses, and governance for a fintech platform using Python, Databricks/Snowflake, and cloud services.
Data Engineer (Big Data & Azure Cloud)
Design and implement big-data pipelines on Azure to improve data governance and enable analytics for risk, customer, and operations teams.
Machine Learning Engineer
Build and deploy AI infrastructure and services for Xero’s products, turning ML models into scalable production systems that serve millions of small-business users.