5+ years of overall technology experience, with strong hands-on experience in AI/ML, Python, data engineering, and modern data platforms.
Job Overview
We are looking for experienced AI Engineers to support a major data and analytics transformation initiative involving the migration of SAS workloads, data processes, and analytical capabilities to Snowflake.
The ideal candidate will have strong hands-on experience in AI/ML, Python, data engineering, SAS, and Snowflake.
You will work closely with data architects, engineers, analysts, and business stakeholders to modernise existing SAS-based analytical workloads and enable advanced AI and machine learning capabilities on the Snowflake platform.
This is a hands-on engineering role requiring the ability to understand existing SAS workloads and translate or modernise them into scalable Snowflake-based solutions.
Key Responsibilities
Analyse and understand existing SAS programs, workflows, data pipelines, and analytical processes.
Support the migration and modernisation of SAS-based workloads to Snowflake.
Develop and implement AI and Machine Learning solutions using modern cloud and data platforms.
Translate SAS-based data transformation and analytical logic into Snowflake and Python-based solutions.
Develop scalable data pipelines and analytical workflows on Snowflake.




Build and deploy AI/ML models where required as part of the modernisation initiative.
Work with Data Architects and Snowflake Architects to design scalable and high-performing solutions.
Perform data validation, reconciliation, and quality checks between legacy SAS and Snowflake environments.
Optimise data processing, SQL queries, and Snowflake workloads.
Support testing and validation of migrated applications and analytical processes.
Collaborate with business stakeholders to understand existing SAS processes and transformation requirements.
Identify opportunities to automate and improve existing analytical workflows using AI and Machine Learning.
Document migration approaches, technical designs, and implementation processes.
Mandatory Skills & Experience
Solid hands-on experience as an AI Engineer, Machine Learning Engineer, Data Engineer, or similar role.
Hands-on experience with AI and Machine Learning technologies.
Strong programming experience in Python.
Experience working with Snowflake.
Experience with data engineering, data pipelines, and data transformation.
Experience understanding or working with SAS-based data and analytical workloads.
Experience with data migration and modernisation projects.
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📌 Ai Engineer – Sas To Snowflake Migration (Sydney)
🏢 Neuronimbus
📍 Sydney