Cloud Data Engineer - Modern Data Stack & Analytics

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

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