Data Engineer (Banking/Cloud Data Platform)

Keyrus; Manila; On-site; PHP 600,000 - 1,200,000; Full time

Job summary

Keyrus is seeking a Data Engineer to join our Data team in the Philippines, delivering high-impact analytics and data engineering solutions for enterprise clients across APAC.

You will collaborate with data architects, governance, and platform teams to implement data pipelines and models aligned with BRD/FRS and Low-Level Design documents, driving data quality and scalable Bronze-Silver-Gold transformations.

Qualifications

• Hands-on data engineering, ETL development, and data lakehouse implementation.
• Experience with Airflow for orchestration.
• Experience using dbt Core for transformation, testing, and documentation.
• Experience using GitLab or equivalent version control and CI/CD tools.
• Understanding of data quality checks, audit logging, lineage, and catalog integration.

Responsibilities

• Develop reusable ETL pipelines using Airflow and dbt Core.
• Build SQL-based transformation models using dbt-spark or equivalent.
• Implement Bronze-Silver-Gold data transformation flows from signed-off designs.
• Develop data cleansing, standardization, aggregation, matching, and enrichment logic.
• Support ETL exception handling, retry logic, audit logging, and monitoring.
• Implement data models across Bronze, Silver, and Gold layers for scalable analytics.
• Generate dbt artifacts and metadata for cataloging and lineage visibility.
• Ensure outputs are traceable and governed with access controls.

Skills

Data engineering

ETL development

Data lakehouse

Airflow

dbt Core

GitLab/CI-CD

Data quality checks

Audit logging

Lineage

Catalog integration

Tools

Airflow

dbt Core

GitLab

Job description

Keyrus is an international consulting firm, specializing in the integration of data intelligence and Digital solutions. With over 2,800 employees spread across 29 countries, Keyrus continues to deliver on such projects to a wide range of clients from various industries including but not limited to Banking/Finance, Healthcare/pharmaceuticals, FMCG, Oil & Gas, and more.

As part of Keyrus’ solution delivery, we are also in a position to recruit and place technical consultants to complement on existing client projects with their expertise. As such, we seek innovative and agile people to support ambitious and forthcoming technological challenges.

Keyrus is looking for a Data Engineer to join our Data team in the Philippines and support the delivery of high-impact analytics, and data engineering solutions for enterprise clients across APAC.

Role Summary

The Data Engineer will work closely with data architects, business analysts, governance teams, platform teams, and project stakeholders to implement data pipelines and data models aligned with the signed-off BRD, FRS, and Low-Level Design documents.

Key Responsibilities

ETL and Transformation Development

• Develop reusable ETL pipelines using Airflow and dbt Core
• Build SQL-based transformation models using dbt-spark or agreed adaptered
• Implement Bronze - Silver - Gold data transformation flows based on signed-off design
• Develop data cleansing, standardization, aggregation, matching, and enrichment logic for platform and business use cases
• Support ETL exception handling, retry logic, audit logging, and operational monitoring
• Implement logical and physical data models across Bronze, Silver, and Gold layers
• Optimize transformation logic and data models for query efficiency, scalability, and maintainability
• Implement embedded data quality checks in ingestion and ETL processes
• Support integration of data quality outputs, metadata, and lineage artifacts with Alation
• Generate dbt artifacts and metadata needed for cataloging and lineage visibility
• Ensure data engineering outputs are traceable, governed, and aligned with access and classification requirement

CI/CD and Deployment

• Use GitLab for version control, code review, and CI/CD pipeline execution
• Support deployment of Airflow DAGs, dbt models, scripts, and configuration across Development, UAT, and Production environments
• Maintain deployment scripts, technical documentation, and runbook

Required Skills and Experience

• Hands-on experience in data engineering, ETL development, and data lakehouse implementation
• Experience with Airflow for orchestration
• Experience with dbt Core for transformation development, testing, and documentation
• Experience using GitLab or equivalent version control and CI/CD tools
• Understanding of data quality checks, audit logging, lineage, and catalog integration