Data Engineer - On-Premise & ERP Data Integration

KCC Malls; General Santos; On-site; PHP 700,000 - 1,000,000; Full time

Job summary

KCC Malls is seeking a technically strong Data Engineer to support the integration, transformation, and operationalization of data from on-premise systems into our analytics environment. The role focuses on enterprise source systems, legacy databases, and operational reporting, with Oracle ERP knowledge as a strong advantage.

You will collaborate with stakeholders and MIS teams to improve data reliability, usability, and scalability of core operational data, bridging traditional systems with

Qualifications

• Bachelor’s degree in CS/IT/Eng/Data Analytics or related field.
• 3+ years in data engineering, ETL, system integration, or enterprise reporting.
• Strong SQL and relational DB skills.
• Experience with on-premise systems and ERP integrations.
• Oracle ERP/Oracle DB/PL/SQL experience is a strong plus.
• Experience in retail, finance, or supply chain advantageous.

Responsibilities

• Lead the integration, transformation, and operationalization of data from on-premise systems into analytics environments.
• Ensure data is extracted, transformed, validated, and delivered accurately and efficiently.
• Collaborate with analytics engineers, MIS, ERP-focused teams to improve data reliability and usability.
• Bridge traditional enterprise systems with modern reporting needs.

Skills

SQL

Relational databases

ETL development

Data integration

Education

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

Tools

Oracle ERP

PL/SQL

Oracle databases

Job description

KCC Malls is seeking a technically strong Data Engineer to support the integration, transformation, and operationalization of data from on-premise systems into our analytics environment. The role focuses on enterprise source systems, legacy databases, and operational reporting, with Oracle ERP knowledge as a strong advantage.

You will collaborate with stakeholders and MIS teams to improve data reliability, usability, and scalability of core operational data, bridging traditional systems with