Data Engineer: Scalable ETL Pipelines & BI (Hybrid)

Lewis Personnel Management; Taguig; Hybrid; PHP 600,000 - 1,100,000; Full time

Job summary

Lewis Personnel Management is hiring a Data Engineer to design, develop, and optimize scalable data pipelines and ETL workflows that support business intelligence and data-driven decision-making.

The position is full-time and hybrid, requiring 3 on-site days per week in a Manila-area setting. The ideal candidate will have strong Python and SQL skills and hands-on experience with ETL, data modeling, and data quality best practices.

Qualifications

• 3+ years of experience in Data Engineering or a related role.
• Strong proficiency in Python and SQL.
• Hands-on experience building and maintaining ETL pipelines and data workflows.
• Experience working with relational databases and large datasets.
• Knowledge of data modeling, data integration, and data quality best practices.
• Experience with cloud data platforms or data warehouses is a plus.
• Strong analytical, problem-solving, and troubleshooting skills.

Skills

Python

SQL

ETL pipelines

Data modeling

Data quality

Tools

Relational databases

Cloud data platforms

Job description

Lewis Personnel Management is hiring a Data Engineer to design, develop, and optimize scalable data pipelines and ETL workflows that support business intelligence and data-driven decision-making.

The position is full-time and hybrid, requiring 3 on-site days per week in a Manila-area setting. The ideal candidate will have strong Python and SQL skills and hands-on experience with ETL, data modeling, and data quality best practices.