Key skills
AzurePythonSQLAIMLClaudeData EngineeringBIPower BISnowflakedbtFivetranCommunication
About this role
Role Overview
- Design and deliver modern data platforms using tools like Snowflake, Microsoft Fabric, Azure, Fivetran, Coalesce, dbt, and Power BI
- Build and maintain scalable data pipelines and data models
- Ensure data quality, reliability, and governance standards are met
- Support data integration, transformation, and warehousing processes
- Contribute to internal standards, frameworks, and best practices
- Collaborate with technical teams to improve data architecture and performance
- Continuously improve data workflows and engineering processes
Requirements
- 3+ years of experience in data engineering or modern data platform delivery
- Strong proficiency in SQL and Python
- Hands-on experience with Snowflake, Microsoft Fabric, Fivetran, Coalesce, or dbt (data build tool)
- Solid understanding of medallion architecture and dimensional modelling
- Familiarity with data governance and metadata tools such as Microsoft Purview and Coalesce Catalog
- Experience using AI tools such as Claude, Snowflake Cortex, or similar to accelerate development
- Experience building data pipelines and data products supporting AI/ML use cases, with understanding of clean, model-ready data
- Proven ability to own and deliver end-to-end projects with measurable outcomes
- Strong communication skills and ability to work with clients directly
- Consulting experience is a plus, but a strong client-first mindset is essential
Tech Stack
- Azure
- Python
- SQL
Benefits
- Competitive salary based on experience and skill set
- 100% remote role — work from home anywhere in the Philippines
- Paid local holidays aligned with the Australian/New Zealand business calendar
- Opportunities for training and professional growth
- Work directly with a supportive Australian/New Zealand team — no agency middleman
- Long-term engagement with a stable and growing business