Experience

5+ years of overall technology experience, with strong hands-on experience in AI/ML, Python, data engineering, and up-to-date 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

- Strong 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.
- Strong SQL skills.
- Experience with data migration and modernisation projects.

📌 AI Engineer – SAS to Snowflake Migration (Sydney)
🏢 Neuronimbus
📍 Sydney