Senior Analytics Engineer

Maya; Manila; On-site; PHP 1,200,000 - 1,800,000; Full time

Job summary

Maya is hiring a Senior Analytics Engineer to lead the design, development, and monitoring of data products and data infrastructure. You will collaborate with Data Scientists to create datasets, feature stores, and pipelines for training data and real-time inference features.

The role requires 4+ years building production ETL/ELT pipelines, 1+ year in leadership or mentoring, and strong skills in dbt, SQL, Python, Airflow, and cloud data warehouses.

Qualifications

• Bachelor's degree in a quantitative discipline (e.g., CS, Math, Physics)
• At least 4 years building and maintaining production ETL/ELT pipelines
• At least 1 year in technical leadership or mentoring
• At least 4 years managing stakeholders across technical and non-technical audiences
• Experience using dbt for data transformation in production environments

Responsibilities

• Design, develop and monitor data products and data infrastructure
• Build and maintain feature stores and pipelines for training data and real-time features
• Implement data quality and SLA-aligned data sources
• Collaborate with Data Engineering and Data Governance for data maturity
• Create and maintain software packages for Data Scientists to improve model workflows
• Develop CI/CD pipelines for data pipelines and proactive issue detection
• Provide architecture reviews and adherence to best practices
• Communicate architectural decisions to stakeholders and document systems

Skills

Stakeholder management

Leadership experience

Data product design

Data governance awareness

Education

Bachelor's degree in quantitative field

Tools

dbt

SQL

Spark

Python

Airflow

AWS

Redshift

Job description

Data Science and AI

Our Mission

Our goal is for everyone to make bolder choices with their finances. To get there, we're creating an all-in-one ecosystem of financial services for today's generation of goal-getters. That feat takes extraordinary people-those with the guts to challenge the way things are and transform them into something better. To be part of Team Maya is to be Bolder for Better.

Description

CORE PROFILE

As a Senior Analytics Engineer, you will be responsible for the design, development and monitoring of data products, data infrastructure, packages and processes that will help streamline the creation and deployment of data science solutions made by our Data Scientists.

NATURE OF WORK

• Work with our Data Scientists to design datasets that are useful for creating statistical and machine-learning models
• Design, develop and maintain feature stores as well as the accompanying feature pipelines that will be used in creating training data as well as real-time inference features.
• Implement data quality and integrity checks and ensure the quality and availability of data sources in accordance with their SLAs.
• Align with Data Engineering and Data Governance team to achieve maturity in the data.
• Create and maintain software packages for use by our Data Scientists to help improve their model development workflow.
• Build CI/CD pipelines to improve time to deploy data pipelines and proactively catch issues before they hit production
• Provide guidance on best practices for code and architecture of data pipelines and do code and architecture reviews to ensure adherence to best practices
• Communicate technical architecture and solutions, as well as explain the competitive advantage of various technologies to a broad audience
• Create and maintain architecture and systems documentation
• Build the infrastructure and tooling that enable self-serve pipelines for other Analytics Engineers, and mentor them on best practices

Required Qualifications

• With at least a bachelor's degree in any quantitative discipline (i.e. Computer Science, Math, Physics, etc)
• At least 4 years of experience building and maintaining production ETL/ELT pipelines, including at least 1 year in a technical leadership or mentoring capacity (e.g., leading design reviews, setting team standards, onboarding junior engineers)
• At least 4 years of experience managing stakeholders across technical and non-technical audiences
• Demonstrated experience using dbt for data transformation in a production environment

DISPLAYED SKILL MASTERY

• High proficiency in cloud data warehouses (Redshift, Databricks, etc.) and SQL/Spark for data manipulation
• High proficiency in designing, developing, and monitoring ETL/ELT pipelines
• At least 5 years working with AWS or another cloud provider (GCP, Azure)
• Moderate experience (at least 3 years) with common data science tools, packages (Pandas, SKLearn), and concepts
• Proven experience using dbt for ETL
• Strong programming skills (Python, R, or Bash for pipeline development)
• Experience designing data models (dimensional modeling, star/snowflake schema)
• Experience with orchestration tools (Airflow, Dagster, or similar)
• Experience mentoring junior engineers and setting technical standards/best practices
• Experience working in Agile/DevOps/TDD environments
• Strong stakeholder communication skills across technical levels

About Us

Maya is the all-in-one money platform that is bringing Filipinos bolderways to master their money.It is powered by a unique integrated financial services ecosystem that addresses the ever-evolving needs of today’s generation of moneymakers through cutting edge technology.

We lead millions of Filipinos — consumers, businesses,communities, and government agencies alike — into a version ofthe current digital economy that’s more inclusive, transparent,and empowering than ever.

We are powered by the country's only end-to-end digital payments company Maya Philippines, Inc. and Maya Bank, Inc. for digital banking services.

Maya Bank, Inc. and Maya Philippines, Inc. are regulated by the Bangko Sentral ng Pilipinas. https://www.bsp.gov.ph/