Analytics Engineer Snowflake Data Platform
Talentmate
Philippines
9th October 2026
2610-2544-2511
Job Description
- Own the build of a modern Snowflake data platform
- Shape trusted business metrics used across the organisation
The employer is a global SaaS business providing technology solutions that help accommodation providers streamline bookings, guest communications, payments, housekeeping, and day-to-day operations. The organisation continues to invest in customer experience, data-driven decision making, and AI-led process improvement initiatives.
Job Description
- Design and enhance the Snowflake modelling layer using a medallion architecture framework (Bronze, Silver, Gold).
- Develop and govern semantic models, business metrics, KPIs, and reporting standards.
- Centralise reporting logic to ensure consistent definitions across analytics platforms.
- Deliver key business intelligence solutions, including executive and operational reporting.
- Create automated testing frameworks to validate data quality and metric accuracy.
- Manage transformation code, version control processes, and CI/CD deployments.
- Optimise SQL performance and improve Snowflake compute efficiency.
- Prepare curated datasets that support AI-driven analytics and conversational reporting.
- Support data ingestion, replication processes, and pipeline monitoring activities.
- Implement governance, metadata management, security controls, and documentation standards.
- Partner with Finance, Product, Customer Experience, and other stakeholders to gather requirements and deliver insights.
- Leverage AI tools to improve SQL development, modelling, testing, and documentation efficiency.
- Minimum 4 years' experience in Analytics Engineering, Data Engineering, or BI Development.
- Advanced SQL expertise with strong experience in Snowflake environments.
- Strong understanding of dimensional modelling and data warehousing concepts.
- Hands-on knowledge of Power BI, including data modelling, Power Query, and DAX.
- Experience building semantic layers or governed metrics frameworks.
- Exposure to dbt or similar transformation tools using Git-based development practices.
- Experience with ELT pipelines, ingestion frameworks, and orchestration tools.
- Familiarity with AI tools used for analytics development, testing, and optimisation.
- Strong stakeholder management and communication skills.
- Ability to work collaboratively with global teams and business users.
- Experience with PostgreSQL migrations would be highly advantageous.
- Exposure to Python, Fivetran, AWS ingestion tools, or Snowflake AI capabilities is beneficial.
- Fully remote working arrangement.
- Day shift schedule aligned to Australian business hours.
- Opportunity to join a newly created and highly visible Analytics Engineering function.
- Direct collaboration with the Head of Data & AI Automation.
- Significant ownership of a large-scale Snowflake data platform transformation.
- Opportunity to define enterprise-wide business metrics and reporting standards.
- Exposure to AI-powered analytics and cutting-edge data technologies.
- Collaborative environment working with Finance, Product, Customer Experience, and Data teams.
- Global business exposure with opportunities to influence strategic initiatives.
- Strong focus on innovation, automation, and modern data engineering practices.
Job Details
| Role Level: | Not Applicable | Work Type: | Full-Time |
|---|---|---|---|
| Country: | Philippines | City: | Taguig National Capital Region |
| Company Website: | https://redirect.michaelpage.com/mp-home | Job Function: | Data Science & AI |
| Company Industry/ Sector: |
Other | ||
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