Data Engineering Intern: Build Pipelines & Insights

Schneider Electric; Cavite City; Hybrid; PHP 89,000 - 134,000; Full time

Benefits offered by this job

Mentorship from professionals

Practical real-world experience

Career growth opportunities

Job summary

Schneider Electric invites motivated students to join our Corporate Services and Administration internship. You will support daily operations, gain hands-on experience in data transformation, and work with cross-functional teams to strengthen data quality and governance.

You will learn from seasoned professionals, participate in data engineering initiatives, and contribute to dashboards and reports while developing essential career-ready skills.

Qualifications

• Minimum of 320 internship hours (equivalent to 40 working days).
• Active student with university-endorsed internship/OJT program.
• Currently enrolled in a Bachelor's degree program in IT, CS, or related fields.
• Strong organizational skills with attention to detail.

Responsibilities

• Participate in global and regional transformation projects involving data migration, harmonization, master data alignment, and process standardization.
• Support cross-cultural collaboration with global markets, regions, and functional partners.
• Troubleshoot and resolve data integration and migration issues for seamless data flow.
• Develop and validate data quality rules ensuring accuracy, completeness, and timeliness.
• Monitor data quality indicators and investigate anomalies and discrepancies.
• Identify opportunities to automate manual processes and improve operational efficiency.

Skills

Data quality

Cross-cultural

Proactive learner

Clear communication

Education

Bachelor's Degree program enrollment

Job description

Schneider Electric invites motivated students to join our Corporate Services and Administration internship. You will support daily operations, gain hands-on experience in data transformation, and work with cross-functional teams to strengthen data quality and governance.

You will learn from seasoned professionals, participate in data engineering initiatives, and contribute to dashboards and reports while developing essential career-ready skills.