Senior Data Engineer

PRO SOURCE GLOBAL BPO INC.; Makati; On-site; PHP 900,000 - 1,800,000; Full time

Job summary

PRO SOURCE GLOBAL BPO INC. is seeking a data-focused engineer to design, build, and support scalable data solutions.

You will shape data architecture, enable reliable migration and integration, and strengthen data management for reporting and decision-making across cloud and on-prem environments. You will lead end-to-end data pipelines, advise on models and governance, and collaborate with stakeholders to translate business requirements into effective data solutions while driving automation and

Qualifications

• Strong analytical and problem-solving abilities with business mindset.
• Experience building end-to-end data pipelines in cloud or on-prem environments.
• Hands-on SQL, Python, and PySpark for data ingestion and transformation.
• Knowledge of data models, warehousing, governance, and metadata management.

Responsibilities

• Develop, implement, and support end-to-end data pipelines for ingestion, transformation, and analysis.
• Advise on data architecture, models, migration, integration, and governance.
• Enhance data management capabilities including models, storage, and metadata.
• Plan and execute data migration while ensuring data integrity and security.
• Design and optimise data platforms across cloud and on-premises environments.
• Support production data platforms and critical reporting infrastructure.
• Implement automation, CI/CD, access controls, and privacy measures.
• Collaborate with tech teams and stakeholders to translate requirements into solutions.
• Provide technical leadership and drive continuous improvement of practices.

Skills

Analytical skills

Data pipelines

SQL

Python

PySpark

Data architecture

Cloud platforms

Communication

Job description

About the role

Join a data-focused team to design, build, and support scalable end-to-end data solutions. This role will shape data architecture, enable reliable data migration and integration, and strengthen data management capabilities that support critical reporting and business decision-making across cloud and on-premises environments.

Key responsibilities

• Develop, implement, and support end-to-end data pipelines for scalable ingestion, transformation, and analysis.

• Advise on data architecture, data models, data migration, integration, pipelines, analysis, and visualisation.

• Establish and enhance data management capabilities, including data models and structures, database and storage infrastructure, master data management, metadata management, data quality, data integration, data warehousing, transformation, analysis, and governance.

• Plan and execute data migration initiatives while maintaining data integrity, quality, security, and availability.

• Design and optimise data platforms across cloud and on-premises environments.

• Support production data platforms and critical reporting infrastructure.

• Implement automation, monitoring, CI/CD practices, access controls, privacy measures, and data security controls.

• Collaborate with technical teams and business stakeholders to translate business requirements into effective data solutions.

• Provide technical leadership and contribute to continuous improvement of data engineering practices and platform capabilities.

What we're looking for

• Strong analytical, problem-solving, commercial, and technical leadership skills.

• Extensive experience building and supporting end-to-end data pipelines in cloud or on-premises environments.

• Strong hands-on skills in SQL, Python, and PySpark for scalable data ingestion and transformation.

• Solid knowledge of data architecture, data warehousing, data modelling, data integration, optimisation, and data governance.

• Experience with cloud data platforms such as Microsoft Fabric, Databricks, Synapse Analytics, Snowflake, or Redshift.

• Experience in data migration, data quality, metadata management, and master data management.

• Knowledge of CI/CD, automation, monitoring, data security, access controls, and privacy.

• Experience supporting production data platforms and critical reporting infrastructure.

• Excellent communication and collaboration skills when working with technical teams and business stakeholders.