Senior Data Engineer — Hybrid, End-to-End Pipelines

ProSource; Makati; Hybrid; PHP 1,200,000 - 1,800,000; Full time

Benefits offered by this job

HMO coverage from Day 1 + 2 dependents

Hybrid work setup (3x in office)

Job summary

ProSource is seeking a Senior Data Engineer to design, build, and maintain scalable data pipelines and data solutions. The role focuses on data architecture, modeling, integration, migration, and governance to ensure data quality, security, and reliable business reporting.

The ideal candidate will lead data initiatives, advise on architecture and data models, and implement robust data management capabilities across cloud and on-prem environments.

Qualifications

• Extensive experience building end-to-end data pipelines in cloud or on-prem environments.
• Proficiency in SQL, Python, PySpark for data ingestion and transformation.
• Knowledge of data warehousing, modeling, integration, governance.
• Experience with cloud data platforms such as Fabric, Databricks, Synapse Analytics, Snowflake, or Redshift.
• Experience in data migration, data quality, metadata management, and master data management.
• Strong CI/CD, automation, monitoring, data security, access controls, and privacy.

Responsibilities

• Development of end to end data pipelines.
• Advising on data architecture, data models, data migration, integration and pipelines and data analysis and visualization.
• Implementing solutions for data management capabilities including data models and structures, database and data storage infrastructure, master and metadata management, data quality, data integration, data warehousing, data transformation, data analysis and data governance.
• Development and execution of Data migrations.

Skills

Analytical thinking

Problem solving

Commercial awareness

Technical leadership

Communication skills

Tools

SQL

Python

PySpark

Job description

ProSource is seeking a Senior Data Engineer to design, build, and maintain scalable data pipelines and data solutions. The role focuses on data architecture, modeling, integration, migration, and governance to ensure data quality, security, and reliable business reporting.

The ideal candidate will lead data initiatives, advise on architecture and data models, and implement robust data management capabilities across cloud and on-prem environments.