Senior Analytics Engineer: Data Platform & ML Pipelines

Maya; Mandaluyong; On-site; PHP 1,200,000 - 2,000,000; Full time

Job summary

Maya is building an all-in-one money platform in the Philippines. We are seeking an Analytics Engineer to design, develop, and maintain scalable data products, feature stores, and transformation frameworks for data scientists to build and deploy machine learning solutions.

The ideal candidate has strong experience in dbt, SQL, data modeling, Databricks, cloud platforms, and feature engineering pipelines. You will bridge Data Engineering and Data Science to ensure high-quality, trusted data for

Qualifications

• Bachelor's degree in a quantitative field is required.
• 4+ years of experience in Analytics Engineering or Data Engineering.
• 2+ years of hands-on dbt in production environments.
• Strong expertise in SQL, data modeling, and ETL/ELT development.

Responsibilities

• Design, develop, and maintain scalable data models and transformation pipelines.
• Build and manage feature stores and pipelines for model training and inference.
• Collaborate with Data Scientists and ML Engineers for production readiness.
• Ensure data quality, lineage, governance, and documentation across assets.

Skills

Analytical thinking

Collaboration

Communication

Problem solving

Education

Bachelor's degree in Computer Science, Information Technology, Statistics, Engineering, Mathematics, or related quantitative discipline

Tools

dbt (DataBuildTool)

Databricks

Apache Spark

Cloud platforms (AWS/Azure/GCP)

CI/CD pipelines

Job description

Maya is building an all-in-one money platform in the Philippines. We are seeking an Analytics Engineer to design, develop, and maintain scalable data products, feature stores, and transformation frameworks for data scientists to build and deploy machine learning solutions.

The ideal candidate has strong experience in dbt, SQL, data modeling, Databricks, cloud platforms, and feature engineering pipelines. You will bridge Data Engineering and Data Science to ensure high-quality, trusted data for