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Analytics Engineer (Snowflake Data Platform)

Taguig Permanent Work from Home or Hybrid View Job Description
Join a growing internal Data & AI team to design and build a scalable analytics platform powered by Snowflake, Power BI, and AI-enabled solutions. This role focuses on developing the semantic layer, defining trusted business metrics, and delivering reliable reporting capabilities that support strategic decision-making.
  • Own the build of a modern Snowflake data platform
  • Shape trusted business metrics used across the organisation

About Our Client

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.

The Successful Applicant

  • 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.

What's on Offer

  • 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.
Contact
Keith Saique
Quote job ref
JN-102026-7122148
Phone number
+63277955039

Job summary

Function
IT
Sub Sector
IT Development
What is your area of specialisation?
Technology & Telecoms
Location
Taguig
Job Type
Permanent
Consultant name
Keith Saique
Consultant contact
+63277955039
Job Reference
JN-102026-7122148
Work from Home
Work from Home or Hybrid

Diversity & Inclusion at Michael Page

We don't just accept difference - we celebrate it. We encourage applicants from all backgrounds to apply for this role and are committed to building inclusive, diverse workplaces where everyone can thrive. If you require any support or reasonable adjustments during the recruitment process, please let us know.