Senior Analytics Engineer: Build Scalable Data ML Platforms

Maya; Metro Manila; On-site; PHP 1,000,000 - 1,500,000; Full time

Job summary

Maya in Manila is seeking an Analytics Engineer to design, develop, and maintain scalable data products, feature stores, data models, and transformation frameworks that empower data scientists to build, deploy, and operationalize ML solutions.

You will bridge Data Engineering and Data Science, ensuring high-quality, trusted data is readily available for analytics, experimentation, and ML use cases, with strong emphasis on dbt, SQL, Databricks, and cloud platforms.

Qualifications

• Bachelor's degree in a quantitative discipline.
• At least 4+ years of experience in Analytics Engineering, Data Engineering, or related fields.
• At least 2+ years of hands-on experience with dbt in production.
• Strong expertise in SQL, data modeling, and ETL/ELT development.
• Experience with Databricks, Apache Spark, or modern Lakehouse platforms.
• Experience working with cloud technologies such as AWS, Azure, or GCP.
• Experience building and maintaining CI/CD pipelines and automated testing frameworks.
• Experience collaborating with Data Science, Data Engineering, and business stakeholders.
• Experience working with large-scale datasets and complex data ecosystems.

Responsibilities

• Design, develop, and maintain datasets supporting statistical analysis, ML models, experimentation, and insights.
• Design, build, and optimize scalable data models using dbt following best practices.
• Develop and manage transformation pipelines turning raw data into analytics-ready datasets.
• Establish and maintain data lineage, governance, and documentation across analytical data assets.
• Design, develop, and maintain feature stores and pipelines for model training and inference.
• Implement reusable feature engineering frameworks to accelerate ML development.
• Collaborate with Data Scientists and ML Engineers to ensure production readiness of features.
• Support real-time and batch feature pipelines.
• Implement automated data validation, monitoring, and testing frameworks.
• Establish data quality checks, SLAs, observability metrics, and monitoring processes.

Skills

Data modeling

SQL

Feature engineering

CI/CD

Education

Bachelor's degree in Computer Science / IT / Statistics / Engineering / Mathematics or related

Tools

dbt

Databricks

Apache Spark

Cloud platforms (AWS/Azure/GCP)

Job description

Maya in Manila is seeking an Analytics Engineer to design, develop, and maintain scalable data products, feature stores, data models, and transformation frameworks that empower data scientists to build, deploy, and operationalize ML solutions.

You will bridge Data Engineering and Data Science, ensuring high-quality, trusted data is readily available for analytics, experimentation, and ML use cases, with strong emphasis on dbt, SQL, Databricks, and cloud platforms.