AI Engineer – SAS to Snowflake Migration

Location: Sydney, Australia

Duration: 6 Months Contract (Potential Extension)

Work Arrangement: Hybrid

Experience

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

- 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.
- Robust SQL skills.
- Experience with data migration and modernisation projects.
- Strong understanding of data validation,



reconciliation, and data quality.
- Ability to analyse legacy systems and translate business and technical logic into modern data platforms.

Highly Desirable Skills

- Direct experience with SAS to Snowflake migration or modernisation.
- Experience converting SAS code into Python, SQL, or Snowflake-based solutions.
- Experience with Snowpark.
- Experience with Snowflake ML or AI capabilities.
- Experience with Databricks or other modern AI/ML platforms.
- Experience with cloud platforms such as AWS, Azure, or GCP.
- Experience with ETL/ELT frameworks and orchestration tools.
- Experience deploying machine learning models into production environments.
- Knowledge of MLOps and model lifecycle management.
- Experience working with large enterprise data and analytics environments.

Key Technologies The successful candidate should have experience across some or most of the following:

- AI / Machine Learning
- Python
- Snowflake
- SQL
- SAS
- Data Engineering
- Data Migration
- Cloud Platforms (AWS / Azure / GCP)
- Snowpark
- ETL / ELT

MLOps Pay: $500.00 – $700.00 per day

Application Question(s)

- How many years of professional experience do you have in AI/ML, Data Engineering or a related field?
- Do you have hands-on experience working with Snowflake?
- Have you worked on a SAS-to-Snowflake migration or modernisation project?
- Are you currently based in Australia and able to work in/around Sydney as required for this contract?

Work Location: Hybrid remote in Sydney NSW

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