Senior Data Engineer (AI & Snowflake) - Hybrid Sydney

Senior Data Engineer (AI & Snowflake) - Hybrid Sydney

Sydney Full-Time 63000 - 77000 $ / year (est.) Hybrid
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At a Glance

  • Tasks: Build data pipelines and AI-ready assets using Snowflake, Python, and SQL.
  • Company: Allura Partners, a forward-thinking tech company in Sydney.
  • Benefits: Hybrid work model, competitive salary, and opportunities for professional growth.
  • Other info: Collaborative environment with a focus on innovation and career advancement.
  • Why this job: Join a dynamic team and shape the future of AI and data engineering.
  • Qualifications: Experience with Snowflake, Python, SQL, and data modelling.

The predicted salary is between 63000 - 77000 $ per year.

Allura Partners seeks a Senior Data Engineer (AI) in Sydney to extend Snowflake environment and run AI workloads alongside data platforms.

This individual contributor role focuses on building data pipelines, models, and AI-ready data assets in collaboration with AI engineers.

You will work with Snowflake, Python, SQL and dbt, applying Data Vault principles and embeddings; contribute to platform evolution and enable business teams with scalable AI-enabled data products.

Senior Data Engineer (AI & Snowflake) - Hybrid Sydney employer: Allura Partners

Our client is an exceptional employer, offering a dynamic work environment in the heart of Sydney, where innovation meets collaboration. With a focus on modernising insurance solutions, employees benefit from competitive daily rates and the opportunity to work on cutting-edge digital platforms that directly impact customer experiences. The company fosters a culture of growth and influence, allowing team members to shape the future of insurance while enjoying a supportive atmosphere that values their contributions.

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Contact Details:

Allura Partners Recruitment Team

We think you need these skills to ace Senior Data Engineer (AI & Snowflake) - Hybrid Sydney

Python
SQL
Problem-Solving Skills
Data Engineering
Communication Skills
Data Pipeline Development
Data Governance