Search by job, company or skills

Analytics Engineer (Snowflake Data Platform)

Analytics Engineer (Snowflake Data Platform)

MICHAEL PAGE INTERNATIONAL RECRUITMENT (PHILIPPINES) INC.
Fresher
Not Disclosed
  • Posted 9 hours ago
  • Be among the first 10 applicants

Job Description

  • 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

More Info

Job Type:
Employment Type:

Key Skills

AI tools

semantic layers

orchestration tools

dimensional modelling

ELT pipelines

data ingestion