Data Engineer (Cloud & Modern Data Stack Focus) - Digital Transformation Team

KCC Malls; General Santos; On-site; PHP 1,200,000 - 1,800,000; Full time

Job summary

KCC Malls is seeking a technically skilled Data Engineer to strengthen our cloud-based analytics and data platform capabilities. The role focuses on designing, building, and optimizing scalable pipelines and transformation workflows within a modern data stack, with Google Cloud Platform, dbt, and Airbyte experience considered strong advantages.

This position is critical in helping build and scale a modern cloud-native data environment, ensuring data is ingested, transformed, validated, and

Qualifications

• Bachelor’s degree in computer science, IT, engineering, data analytics, or a related field.
• 3+ years in data engineering, ELT development, cloud analytics engineering, or modern data platform environments.
• Strong working knowledge of SQL and cloud-based data warehouses.
• Experience with Google Cloud Platform, BigQuery, or similar cloud data platforms.
• Experience with dbt, Airbyte, Dataform, or related modern data stack tools is a strong plus.
• Experience in retail, finance, supply chain, e-commerce, or other operationally intensive industries is advantageous.

Responsibilities

• Design, build, and optimize scalable pipelines and transformation workflows within a modern data stack.
• Collaborate with business stakeholders, Analytics Engineers, IT, and DevOps to improve data reliability, usability, and scalability.

Skills

SQL

Education

Bachelor's degree in Computer Science, Information Technology, Engineering, Data Analytics, or a related field

Tools

Google Cloud Platform

BigQuery

dbt

Airbyte

Dataform

Job description

We are looking for a technically skilled and forward-thinking Data Engineer to strengthen our cloud-based analytics and data platform capabilities. This role will focus on designing, building, and optimizing scalable pipelines and transformation workflows within a modern data stack, with Google Cloud Platform, dbt, and Airbyte experience considered strong advantages.

This position is critical in helping build and scale a modern cloud-native data environment, ensuring that data is ingested, transformed, validated, and delivered accurately and efficiently. You will work closely with business stakeholders, Analytics Engineers, IT, and DevOps teams to improve the reliability, usability, and scalability of core analytical and operational data.

Qualifications

• Bachelor’s degree in Computer Science, Information Technology, Engineering, Data Analytics, or a related field.
• 3+ years in data engineering, ELT development, cloud analytics engineering, or modern data platform environments.
• Strong working knowledge of SQL and cloud-based data warehouses.
• Experience with Google Cloud Platform, BigQuery, or similar cloud data platforms.
• Experience with dbt, Airbyte, Dataform, or related modern data stack tools is a strong plus.
• Experience in retail, finance, supply chain, e-commerce, or other operationally intensive industries is advantageous.