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Salary
≈ $16k – $36k per year (Estimated)
Location
Hybrid (Makati, Philippines)
Seniority
Staff

Confirmed on the employer's own hiring board on Oct 19, 2026. First seen by Alion on Oct 13, 2026.

Overview
Company
Impact
Profile match
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.

Data Engineer Lead

  • Position: Data Engineer Lead
  • Location: Makati City (Hybrid)
  • Work Schedule: Monday to Friday Shift

In This Role You Are Responsible For

As the Data Engineer Lead, you will spearhead the design, construction, and optimization of our scalable data pipelines and modern data infrastructure. You will champion data governance, lead a technical team, and collaborate with cross-functional leaders to transform complex, raw data architecture into stable, analytics-ready assets that drive strategic decision-making across the firm.

Key Responsibilities

  • Lead the end-to-end design, development, and maintenance of robust, scalable data architectures and ETL/ELT pipelines.
  • Oversee and mentor a team of data engineers, ensuring code quality, optimized database performance, and adherence to engineering best practices.
  • Collaborate with data scientists, analysts, and business stakeholders to translate complex analytics requirements into reliable data models.
  • Implement and enforce strict data governance, security protocols, and compliance controls in line with the firm’s ISO 27001 data protection certification.
  • Monitor, troubleshoot, and optimize data systems for maximum speed, cost-efficiency, and reliability.

Qualifications

  • Proven experience as a Senior or Lead Data Engineer, preferably within professional services, consulting, or financial environments.
  • Strong proficiency in programming languages (e.g., Python, SQL, Scala) and modern data pipeline tools.
  • Solid experience with cloud data platforms (such as AWS, Azure, or Google Cloud) and data warehousing architectures.
  • Hands-on expertise with big data technologies, orchestration tools, and relational/non-relational database management.
  • Excellent leadership, communication, and project management skills, with a track record of driving technical initiatives and guiding engineering teams.
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