Senior Analytics Engineer

Michael Page; Philippines; On-site; PHP 1,560,000 - 1,820,000; Full time

Benefits offered by this job

Permanent role

Pasay City location

Job summary

Michael Page is partnering with a leading Leisure, Travel & Tourism organisation in Pasay City, Metro Manila to hire a Senior Analytics Engineer. You will develop scalable data pipelines using dbt and Snowflake, design star schemas, and mentor engineering teams.

This on-site role requires strong SQL, data governance, ELT processes, and collaboration with cross-functional teams to deliver analytics-ready datasets and high-performance data warehouses.

Qualifications

• Proficiency in dbt, Snowflake, SQL, and analytics engineering tools.
• Strong knowledge of data modeling techniques, including star schema and dimensional modeling.
• Familiarity with Kimball methodology and best practices in data warehousing.
• Experience with ELT processes and data transformation techniques.
• Competence in using Git, GitFlow, GitHub, and CI/CD for collaborative project development.
• Understanding of data quality, governance practices, and performance tuning for data systems.
• Ability to design and manage cloud-based data warehouses and data marts effectively.

Responsibilities

• Develop and maintain strong data pipelines using dbt, Snowflake, and SQL for data transformation and integration.
• Design and implement scalable data models, including star schemas and dimensional modeling, adhering to Kimball methodology.
• Manage and optimize data warehouses and data marts to ensure high performance and reliability.
• Collaborate with cross-functional teams to define data requirements and deliver analytics-ready datasets.
• Ensure data quality and governance by implementing best practices and monitoring data integrity.
• Apply ELT processes to streamline data processing and improve system efficiency.
• Utilize Git, GitFlow, and GitHub for version control and collaboration on analytics engineering projects.
• Perform performance tuning and optimization of data systems to meet business needs.

Skills

dbt

Snowflake

SQL

Data modeling

Tools

Git

GitFlow

GitHub

CI/CD

Job description

• Build enterprise-scale Snowflake and dbt analytics solutions
• Lead data modelling standards and mentor engineering teams

About Our Client

An organisation within the Leisure, Travel & Tourism industry located in Pasay City, Metro Manila.

Job Description

• Develop and maintain strong data pipelines using dbt, Snowflake, and SQL for efficient data transformation and integration.
• Design and implement scalable data models, including star schemas and dimensional modeling, adhering to Kimball methodology.
• Manage and optimize data warehouses and data marts to ensure high performance and reliability.
• Collaborate with cross-functional teams to define data requirements and deliver analytics-ready datasets.
• Ensure data quality and governance by implementing best practices and monitoring data integrity.
• Apply ELT processes to streamline data processing and improve system efficiency.
• Utilize Git, GitFlow, and GitHub for version control and collaboration on analytics engineering projects.
• Perform performance tuning and optimization of data systems to meet business needs.

The Successful Applicant

A successful Senior Analytics Engineer should have:

• Proficiency in dbt, Snowflake, SQL, and analytics engineering tools.
• Strong knowledge of data modeling techniques, including star schema and dimensional modeling.
• Familiarity with Kimball methodology and best practices in data warehousing.
• Experience with ELT processes and data transformation techniques.
• Competence in using Git, GitFlow, GitHub, and CI/CD for collaborative project development.
• Understanding of data quality, governance practices, and performance tuning for data systems.
• Ability to design and manage cloud-based data warehouses and data marts effectively.

What's on Offer

• Competitive annual salary between PHP 1560000 and PHP 1820000.
• Permanent role in the Leisure, Travel & Tourism industry.
• Opportunity to work in Pasay City, Metro Manila.