Senior Data Engineer, Data & AI Platform

Lumiq Talent; Sydney; Hybrid; AUD 160,000 - 175,000; Full time

Benefits offered by this job

Hybrid working

North Sydney office

12.5% bonus

Job summary

Lumiq Talent is partnering with a leading Australian financial services business to hire a Data Engineer who will help design an AI native data platform within Snowflake. The role focuses on building scalable pipelines, AI-enriched datasets and reusable data products enabling in-database LLM, vector and semantic workflows.

You will contribute to data modelling for analytical and AI workloads, ensure data quality for ML and collaborate with AI engineers to integrate Snowflake intelligence into

Qualifications

• Experience building AI native data platforms on Snowflake.
• Strong knowledge of SQL and Python for data engineering.
• Exposure to LLM, vector, embedding or semantic data workflows.

Responsibilities

• Design and build scalable data pipelines for an AI native platform.
• Enable in-database AI, LLM and semantic workflows within Snowflake.
• Model data for analytical and AI workloads (Data Vault/ dimensional).
• Prepare high-quality data for ML and advanced analytics.
• Collaborate with AI engineers to bring Snowflake hosted intelligence to apps.
• Implement AI observability and evolve engineering standards with tooling like GitHub Copilot.

Skills

Snowflake

SQL

dbt

Python

Snowpark

AI workflows

Tools

GitHub Copilot

Job description

About the company

Our client is a well established Australian financial services business. They are investing heavily in technology, data and AI, and are building an AI native data platform at the centre of that strategy.

The opportunity

We are looking for a Data Engineer who wants to be at the forefront of AI integration. You won't just be building standard pipelines. You will be designing an AI native data platform within Snowflake, building scalable pipelines, AI enriched datasets and reusable data products that enable in database LLM, vector and semantic workflows.

What you will be doing

• AI native engineering: design and build scalable pipelines and AI applications using Snowflake native AI capabilities (Snowpark, Cortex).
• In database AI: enable LLM, vector and semantic workflows directly within the data platform.
• Architecture and modelling: design and optimise data models for analytical and AI workloads, contributing to Data Vault and common data models.
• Data quality for AI: prepare governed, high quality data for machine learning and advanced analytics.
• Collaboration: partner with AI engineers and technology teams to bring Snowflake hosted intelligence into core applications.
• Observability and best practice: implement AI observability and monitoring, and use AI assisted development tools such as GitHub Copilot to evolve engineering standards.

What you bring

• Deep experience with Snowflake, SQL, dbt and Python.
• Hands on experience with Snowpark and AI enabled workflows within a data platform.
• Exposure to LLM, vector, embedding or semantic use cases.
• A strong background in scalable data modelling (Data Vault, common data models or dimensional).
• A solid understanding of data for machine learning, feature engineering and production ML workflows.
• The ability to turn complex business needs into practical data and AI solutions.

Why join

• $160K to $175K base + super + 12.5% bonus.
• Genuine work life balance with flexible, hybrid working.
• A collaborative North Sydney office and a culture that backs innovation and continuous learning.