Data Engineer

PM Consulting • Bachelor's Degree • Python • SQL • ETL/ELT • 10 hours ago
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Location
In office (Mandaluyong)
Seniority
Junior · 2+ years exp

Confirmed on the employer's own hiring board on Oct 24, 2026. First seen by Alion on Oct 23, 2026.

Overview
Company
Impact
Profile match

PM Consulting

PM Consulting is a Philippine HR consulting and recruitment firm based in Makati, Metro Manila, offering executive search, professional and IT recruitment, recruitment process outsourcing and HR consulting. Active since 2006, it works with more than 100 local and global client companies across many industries, and most of its mandates sit in Metro Manila business districts such as Makati, Pasig, Taguig and Mandaluyong. Its client vacancies span audit and accounting managers, HR business partners, brand and merchandising managers, data and platform engineers, solution architects and B2B sales staff.
pmconsulting.ph • HQ: Makati, Philippines • Human Resources • Recruiting & Staffing • Executive Search • 1001-5000 employees • Est. 2006

We're looking for a motivated Data Engineer to help build, maintain, and improve data pipelines and infrastructure that support data-driven products and business initiatives.

In this role, you'll work alongside experienced data engineers, data scientists, and cross-functional teams to ensure data is accurate, accessible, reliable, and ready for use.

Key Responsibilities

  • Develop, deploy, and maintain data pipelines that support business use cases and product features.
  • Monitor pipeline performance and reliability, troubleshoot data quality issues, and help resolve operational incidents.
  • Support data requests and pipeline incidents within agreed timelines and service-level expectations.
  • Implement data validation, testing, and monitoring practices to maintain data accuracy and reliability.
  • Maintain clear technical documentation and follow established development and deployment procedures.
  • Apply data engineering best practices, including version control, CI/CD, data governance, and observability.
  • Collaborate with senior engineers and cross-functional stakeholders on data initiatives and continuous improvement.
  • Identify opportunities to enhance pipeline performance, reliability, and usability.

Qualifications

  • Bachelor's degree in Computer Science, Information Technology, Engineering, Mathematics, or a related field, or equivalent practical experience.
  • 2-3 years of relevant experience in Data Engineering, Analytics Engineering, Software Engineering, or a related technical role.
  • Proficiency in Python, including scripting and basic data processing.
  • Solid SQL skills, including querying, filtering, aggregations, and joins.
  • Experience with relational databases, data warehousing, and ETL/ELT pipelines.
  • Hands-on experience with at least one cloud platform: AWS (preferred), GCP, or Azure.
  • Experience with a data orchestration tool such as Apache Airflow, Dagster, or an equivalent platform.
  • Ability to write maintainable code, document technical processes, and collaborate effectively with a team.
  • Willingness to learn new technologies and continuously improve engineering practices.
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