Data Engineer Lead Makati

Our Clients; Philippines; Hybrid; PHP 1,800,000 - 3,000,000; Full time

Job summary

Our Clients in Makati City is seeking a Data Engineer Lead to oversee the design, construction, and optimization of scalable data pipelines within a hybrid work setup.

You will champion data governance, lead a technical team, and collaborate with cross-functional leaders to deliver analytics-ready data assets that drive strategic decision-making across the firm.

Qualifications

• Senior or Lead Data Engineer with proven experience in professional services, consulting, or financial environments.
• Strong programming in Python/SQL/Scala and modern data pipeline tools.
• Experience with cloud data platforms and data warehousing; leadership and PM skills.

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 and adherence to engineering best practices.
• Collaborate with data scientists, analysts, and business stakeholders to translate analytics requirements into reliable data models.
• Implement and enforce data governance, security protocols, and compliance controls.
• Monitor, troubleshoot, and optimize data systems for speed, cost-efficiency, and reliability.

Skills

Leadership

Python

SQL

Scala

ETL/ELT

Cloud platforms

Tools

AWS

Azure

Google Cloud

Job description

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.