Analytics Engineer II — Reconciliation & AI Data Quality

Remitly; Mandaluyong; On-site; PHP 900,000 - 1,800,000; Full time

Benefits offered by this job

Rice Allowance

Transportation Allowance

Paid Vacation

Medical, Dental & Vision

Accident and Life Insurance

Employee Stock Purchase Plan (ESPP)

Mental Health & Family FormingBenefits

Job summary

Remitly is seeking an experienced Analytics Engineer in Metro Manila to own data products end to end, from modeling to production operations. You will design metric definitions, build pipelines, and ensure data quality across financial domains, leveraging AI to improve data workflows and production code.

The role requires strong SQL, scripting, cloud data tooling, and collaboration with Accounting, Treasury, and Compliance.

Qualifications

• 5+ years as an analytics engineer or equivalent.
• Expert in SQL, git, and a programming language (Python, Scala, Java, or similar).
• Experience in dimensional data modeling, ETL design, implementation and maintenance.
• Experience with distributed query engines and cloud data platforms (Trino, Spark, Snowflake/Redshift or equivalent) and with workflow orchestration (Azkaban, Airflow or equivalent).
• Knowledge of logging, error handling, and familiarity with CI/CD concepts.
• Familiarity with AWS products and services.
• Experience with analytical model development and deployment processes.
• Strong communication skills and ability to collaborate effectively with stakeholders.
• You live our cultural values.

Responsibilities

• Own data products end to end — from requirements through modeling, implementation, validation, and production operation.
• Design and maintain the metric and check definitions that determine whether financial data is correct and complete, and onboard new business domains onto the platform.
• Build and maintain the pipelines and transformations behind those metrics, including dimensional modeling, ETL design, and the documentation and data dictionaries that make them usable by others.
• Contribute to the platform’s application and service layer — the interfaces, services and deployments through which partners consume the platform’s output.
• Investigate discrepancies and anomalies to root cause, and turn each finding into a durable check rather than a one-off fix.
• Use AI agents as a primary working method — to model and reverse-engineer data semantics, to implement and ship production code, and to design the agent workflows the platform itself runs on.
• Validate what AI produces: define the acceptance criteria, evaluation, and review that make agent-generated work safe to ship, and apply domain judgment where correctness cannot be automated.
• Build alerting and observability so that issues reach a named owner with enough context to act, and so the platform’s own health is visible.
• Work with partner teams to understand requirements and ensure data solutions align with Remitly’s goals.
• Communicate complex data findings and technical information to non-technical partners in Accounting, Treasury, Finance and Compliance, both verbally and through data visualizations.
• Identify ways to improve the reliability, efficiency and quality of the platform, so coverage grows faster than the effort required to operate it

Skills

Analytics engineering

SQL

Git

Python/Scala/Java

ETL design

Dimensional modeling

Distributed data engines

Airflow

CI/CD concepts

AWS awareness

Data visualization

Tools

Trino

Spark

Snowflake/Redshift

Azkaban

Airflow

Job description

Remitly is seeking an experienced Analytics Engineer in Metro Manila to own data products end to end, from modeling to production operations. You will design metric definitions, build pipelines, and ensure data quality across financial domains, leveraging AI to improve data workflows and production code.

The role requires strong SQL, scripting, cloud data tooling, and collaboration with Accounting, Treasury, and Compliance.